content
stringlengths 1
1.04M
⌀ |
---|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2013"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
ceM0ajQGyV4xEt0HrG/fuB+3NVFdwQkEyjC4haRoZWslKKs4yl4ILq7RT/jKXnsVkAWmSwMkAIVY
ybpeP1wARw==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
kukT7WQifxjY3WsecmUkERV4ZFv3OuhEihgSM4IB88HBbnFE5FquXt3wzdA0zFDlpG683lT2dqcQ
e8+DpghsVaFxyA0HhLpe+Uj3VPXCqAamsXiyfOV9FRW5tZT6n2RrABDrg190ZlCTDqzvDTosUPWF
LMSAKBUUZLDH1kIj7P0=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
dU1lj3wLYN2oBu3b76t4HEt238DNk5+Obmy1zgJeHU7rLBtTHV8UnHhRI8PwXXRPMJgrJSDjBzNQ
+ZLOT+PNgKe7NXaY01MJhUg5IzH9X6ZAbG3w3IL1/7gL7K6upxJUT61Am45EblqoUFtRFVJDxUNh
Bd8MVvlvXZZ66YB0ezm0hTdwdHAYwZ92l9kdTDjIOUN+Jrn85yeycl9Cxu8aIJaiJpiPjNggt0r7
W0kCE0hFF+swK8rZcxOqOLnQ5Uw2Ji8S+E4OYHjUu5yMJL7V5wNFfUHmF9Sc5jyP/mtan4mmu5J4
a/+rlOaidyY5SAZA+m4p3+hj+JN1qzj8TeLhtg==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
awqcS4G1ayV64bhRxb2ad9Xg57ysH9KZCzgHZHu8Tmnl74kk+tHqUQBvhiolD+v8jr8AGMVo4blw
g75xmAibXafuL9Iv+WrFhYMVK6o+zPGZZLMkNtFS8zqdWka/9Q7TQ7QQbuzZUEZbJM/3vYY1iWRq
Y/oB/ixzA+Df5gDA5bY=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
JeYOat6TeNOn0Lwfj9kOs9eB1tXhm0apFaxmaQldY51fS0eKT90XxV+wEmwhre/Q9kRs/refblVV
DzXaATdPK7kvWKItPjzGkuwjoIEdIAYiZEyE5+ZwIqPH2W6BCpzMHIAHRXYo6tSScrR2uqBcPQGy
c8HaUqIW6z94Rr+QjtUESf9429NBJLRTbe5wnn4DHy20T/ChW4iPiERY98llpk4l8EtLJJsHABPK
yuTMFmtAnHva77c6Vi4OoiqkulSg5fyKN8MjtOlM/t3fozgQ4XTYiAOfp2kAU5dB96L6n1GJDuUa
UNpiYImHNxB5zlUsj9IoVRfTiotfmqiGSgaOMw==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 21696)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2013"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
ceM0ajQGyV4xEt0HrG/fuB+3NVFdwQkEyjC4haRoZWslKKs4yl4ILq7RT/jKXnsVkAWmSwMkAIVY
ybpeP1wARw==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
kukT7WQifxjY3WsecmUkERV4ZFv3OuhEihgSM4IB88HBbnFE5FquXt3wzdA0zFDlpG683lT2dqcQ
e8+DpghsVaFxyA0HhLpe+Uj3VPXCqAamsXiyfOV9FRW5tZT6n2RrABDrg190ZlCTDqzvDTosUPWF
LMSAKBUUZLDH1kIj7P0=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
dU1lj3wLYN2oBu3b76t4HEt238DNk5+Obmy1zgJeHU7rLBtTHV8UnHhRI8PwXXRPMJgrJSDjBzNQ
+ZLOT+PNgKe7NXaY01MJhUg5IzH9X6ZAbG3w3IL1/7gL7K6upxJUT61Am45EblqoUFtRFVJDxUNh
Bd8MVvlvXZZ66YB0ezm0hTdwdHAYwZ92l9kdTDjIOUN+Jrn85yeycl9Cxu8aIJaiJpiPjNggt0r7
W0kCE0hFF+swK8rZcxOqOLnQ5Uw2Ji8S+E4OYHjUu5yMJL7V5wNFfUHmF9Sc5jyP/mtan4mmu5J4
a/+rlOaidyY5SAZA+m4p3+hj+JN1qzj8TeLhtg==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
awqcS4G1ayV64bhRxb2ad9Xg57ysH9KZCzgHZHu8Tmnl74kk+tHqUQBvhiolD+v8jr8AGMVo4blw
g75xmAibXafuL9Iv+WrFhYMVK6o+zPGZZLMkNtFS8zqdWka/9Q7TQ7QQbuzZUEZbJM/3vYY1iWRq
Y/oB/ixzA+Df5gDA5bY=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
JeYOat6TeNOn0Lwfj9kOs9eB1tXhm0apFaxmaQldY51fS0eKT90XxV+wEmwhre/Q9kRs/refblVV
DzXaATdPK7kvWKItPjzGkuwjoIEdIAYiZEyE5+ZwIqPH2W6BCpzMHIAHRXYo6tSScrR2uqBcPQGy
c8HaUqIW6z94Rr+QjtUESf9429NBJLRTbe5wnn4DHy20T/ChW4iPiERY98llpk4l8EtLJJsHABPK
yuTMFmtAnHva77c6Vi4OoiqkulSg5fyKN8MjtOlM/t3fozgQ4XTYiAOfp2kAU5dB96L6n1GJDuUa
UNpiYImHNxB5zlUsj9IoVRfTiotfmqiGSgaOMw==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 21696)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2013"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
ceM0ajQGyV4xEt0HrG/fuB+3NVFdwQkEyjC4haRoZWslKKs4yl4ILq7RT/jKXnsVkAWmSwMkAIVY
ybpeP1wARw==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
kukT7WQifxjY3WsecmUkERV4ZFv3OuhEihgSM4IB88HBbnFE5FquXt3wzdA0zFDlpG683lT2dqcQ
e8+DpghsVaFxyA0HhLpe+Uj3VPXCqAamsXiyfOV9FRW5tZT6n2RrABDrg190ZlCTDqzvDTosUPWF
LMSAKBUUZLDH1kIj7P0=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
dU1lj3wLYN2oBu3b76t4HEt238DNk5+Obmy1zgJeHU7rLBtTHV8UnHhRI8PwXXRPMJgrJSDjBzNQ
+ZLOT+PNgKe7NXaY01MJhUg5IzH9X6ZAbG3w3IL1/7gL7K6upxJUT61Am45EblqoUFtRFVJDxUNh
Bd8MVvlvXZZ66YB0ezm0hTdwdHAYwZ92l9kdTDjIOUN+Jrn85yeycl9Cxu8aIJaiJpiPjNggt0r7
W0kCE0hFF+swK8rZcxOqOLnQ5Uw2Ji8S+E4OYHjUu5yMJL7V5wNFfUHmF9Sc5jyP/mtan4mmu5J4
a/+rlOaidyY5SAZA+m4p3+hj+JN1qzj8TeLhtg==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
awqcS4G1ayV64bhRxb2ad9Xg57ysH9KZCzgHZHu8Tmnl74kk+tHqUQBvhiolD+v8jr8AGMVo4blw
g75xmAibXafuL9Iv+WrFhYMVK6o+zPGZZLMkNtFS8zqdWka/9Q7TQ7QQbuzZUEZbJM/3vYY1iWRq
Y/oB/ixzA+Df5gDA5bY=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
JeYOat6TeNOn0Lwfj9kOs9eB1tXhm0apFaxmaQldY51fS0eKT90XxV+wEmwhre/Q9kRs/refblVV
DzXaATdPK7kvWKItPjzGkuwjoIEdIAYiZEyE5+ZwIqPH2W6BCpzMHIAHRXYo6tSScrR2uqBcPQGy
c8HaUqIW6z94Rr+QjtUESf9429NBJLRTbe5wnn4DHy20T/ChW4iPiERY98llpk4l8EtLJJsHABPK
yuTMFmtAnHva77c6Vi4OoiqkulSg5fyKN8MjtOlM/t3fozgQ4XTYiAOfp2kAU5dB96L6n1GJDuUa
UNpiYImHNxB5zlUsj9IoVRfTiotfmqiGSgaOMw==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 21696)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2013"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
ceM0ajQGyV4xEt0HrG/fuB+3NVFdwQkEyjC4haRoZWslKKs4yl4ILq7RT/jKXnsVkAWmSwMkAIVY
ybpeP1wARw==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
kukT7WQifxjY3WsecmUkERV4ZFv3OuhEihgSM4IB88HBbnFE5FquXt3wzdA0zFDlpG683lT2dqcQ
e8+DpghsVaFxyA0HhLpe+Uj3VPXCqAamsXiyfOV9FRW5tZT6n2RrABDrg190ZlCTDqzvDTosUPWF
LMSAKBUUZLDH1kIj7P0=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
dU1lj3wLYN2oBu3b76t4HEt238DNk5+Obmy1zgJeHU7rLBtTHV8UnHhRI8PwXXRPMJgrJSDjBzNQ
+ZLOT+PNgKe7NXaY01MJhUg5IzH9X6ZAbG3w3IL1/7gL7K6upxJUT61Am45EblqoUFtRFVJDxUNh
Bd8MVvlvXZZ66YB0ezm0hTdwdHAYwZ92l9kdTDjIOUN+Jrn85yeycl9Cxu8aIJaiJpiPjNggt0r7
W0kCE0hFF+swK8rZcxOqOLnQ5Uw2Ji8S+E4OYHjUu5yMJL7V5wNFfUHmF9Sc5jyP/mtan4mmu5J4
a/+rlOaidyY5SAZA+m4p3+hj+JN1qzj8TeLhtg==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
awqcS4G1ayV64bhRxb2ad9Xg57ysH9KZCzgHZHu8Tmnl74kk+tHqUQBvhiolD+v8jr8AGMVo4blw
g75xmAibXafuL9Iv+WrFhYMVK6o+zPGZZLMkNtFS8zqdWka/9Q7TQ7QQbuzZUEZbJM/3vYY1iWRq
Y/oB/ixzA+Df5gDA5bY=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
JeYOat6TeNOn0Lwfj9kOs9eB1tXhm0apFaxmaQldY51fS0eKT90XxV+wEmwhre/Q9kRs/refblVV
DzXaATdPK7kvWKItPjzGkuwjoIEdIAYiZEyE5+ZwIqPH2W6BCpzMHIAHRXYo6tSScrR2uqBcPQGy
c8HaUqIW6z94Rr+QjtUESf9429NBJLRTbe5wnn4DHy20T/ChW4iPiERY98llpk4l8EtLJJsHABPK
yuTMFmtAnHva77c6Vi4OoiqkulSg5fyKN8MjtOlM/t3fozgQ4XTYiAOfp2kAU5dB96L6n1GJDuUa
UNpiYImHNxB5zlUsj9IoVRfTiotfmqiGSgaOMw==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 21696)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2013"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
ceM0ajQGyV4xEt0HrG/fuB+3NVFdwQkEyjC4haRoZWslKKs4yl4ILq7RT/jKXnsVkAWmSwMkAIVY
ybpeP1wARw==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
kukT7WQifxjY3WsecmUkERV4ZFv3OuhEihgSM4IB88HBbnFE5FquXt3wzdA0zFDlpG683lT2dqcQ
e8+DpghsVaFxyA0HhLpe+Uj3VPXCqAamsXiyfOV9FRW5tZT6n2RrABDrg190ZlCTDqzvDTosUPWF
LMSAKBUUZLDH1kIj7P0=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
dU1lj3wLYN2oBu3b76t4HEt238DNk5+Obmy1zgJeHU7rLBtTHV8UnHhRI8PwXXRPMJgrJSDjBzNQ
+ZLOT+PNgKe7NXaY01MJhUg5IzH9X6ZAbG3w3IL1/7gL7K6upxJUT61Am45EblqoUFtRFVJDxUNh
Bd8MVvlvXZZ66YB0ezm0hTdwdHAYwZ92l9kdTDjIOUN+Jrn85yeycl9Cxu8aIJaiJpiPjNggt0r7
W0kCE0hFF+swK8rZcxOqOLnQ5Uw2Ji8S+E4OYHjUu5yMJL7V5wNFfUHmF9Sc5jyP/mtan4mmu5J4
a/+rlOaidyY5SAZA+m4p3+hj+JN1qzj8TeLhtg==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
awqcS4G1ayV64bhRxb2ad9Xg57ysH9KZCzgHZHu8Tmnl74kk+tHqUQBvhiolD+v8jr8AGMVo4blw
g75xmAibXafuL9Iv+WrFhYMVK6o+zPGZZLMkNtFS8zqdWka/9Q7TQ7QQbuzZUEZbJM/3vYY1iWRq
Y/oB/ixzA+Df5gDA5bY=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
JeYOat6TeNOn0Lwfj9kOs9eB1tXhm0apFaxmaQldY51fS0eKT90XxV+wEmwhre/Q9kRs/refblVV
DzXaATdPK7kvWKItPjzGkuwjoIEdIAYiZEyE5+ZwIqPH2W6BCpzMHIAHRXYo6tSScrR2uqBcPQGy
c8HaUqIW6z94Rr+QjtUESf9429NBJLRTbe5wnn4DHy20T/ChW4iPiERY98llpk4l8EtLJJsHABPK
yuTMFmtAnHva77c6Vi4OoiqkulSg5fyKN8MjtOlM/t3fozgQ4XTYiAOfp2kAU5dB96L6n1GJDuUa
UNpiYImHNxB5zlUsj9IoVRfTiotfmqiGSgaOMw==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 21696)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2013"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
ceM0ajQGyV4xEt0HrG/fuB+3NVFdwQkEyjC4haRoZWslKKs4yl4ILq7RT/jKXnsVkAWmSwMkAIVY
ybpeP1wARw==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
kukT7WQifxjY3WsecmUkERV4ZFv3OuhEihgSM4IB88HBbnFE5FquXt3wzdA0zFDlpG683lT2dqcQ
e8+DpghsVaFxyA0HhLpe+Uj3VPXCqAamsXiyfOV9FRW5tZT6n2RrABDrg190ZlCTDqzvDTosUPWF
LMSAKBUUZLDH1kIj7P0=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
dU1lj3wLYN2oBu3b76t4HEt238DNk5+Obmy1zgJeHU7rLBtTHV8UnHhRI8PwXXRPMJgrJSDjBzNQ
+ZLOT+PNgKe7NXaY01MJhUg5IzH9X6ZAbG3w3IL1/7gL7K6upxJUT61Am45EblqoUFtRFVJDxUNh
Bd8MVvlvXZZ66YB0ezm0hTdwdHAYwZ92l9kdTDjIOUN+Jrn85yeycl9Cxu8aIJaiJpiPjNggt0r7
W0kCE0hFF+swK8rZcxOqOLnQ5Uw2Ji8S+E4OYHjUu5yMJL7V5wNFfUHmF9Sc5jyP/mtan4mmu5J4
a/+rlOaidyY5SAZA+m4p3+hj+JN1qzj8TeLhtg==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
awqcS4G1ayV64bhRxb2ad9Xg57ysH9KZCzgHZHu8Tmnl74kk+tHqUQBvhiolD+v8jr8AGMVo4blw
g75xmAibXafuL9Iv+WrFhYMVK6o+zPGZZLMkNtFS8zqdWka/9Q7TQ7QQbuzZUEZbJM/3vYY1iWRq
Y/oB/ixzA+Df5gDA5bY=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
JeYOat6TeNOn0Lwfj9kOs9eB1tXhm0apFaxmaQldY51fS0eKT90XxV+wEmwhre/Q9kRs/refblVV
DzXaATdPK7kvWKItPjzGkuwjoIEdIAYiZEyE5+ZwIqPH2W6BCpzMHIAHRXYo6tSScrR2uqBcPQGy
c8HaUqIW6z94Rr+QjtUESf9429NBJLRTbe5wnn4DHy20T/ChW4iPiERY98llpk4l8EtLJJsHABPK
yuTMFmtAnHva77c6Vi4OoiqkulSg5fyKN8MjtOlM/t3fozgQ4XTYiAOfp2kAU5dB96L6n1GJDuUa
UNpiYImHNxB5zlUsj9IoVRfTiotfmqiGSgaOMw==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 21696)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2013"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
ceM0ajQGyV4xEt0HrG/fuB+3NVFdwQkEyjC4haRoZWslKKs4yl4ILq7RT/jKXnsVkAWmSwMkAIVY
ybpeP1wARw==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
kukT7WQifxjY3WsecmUkERV4ZFv3OuhEihgSM4IB88HBbnFE5FquXt3wzdA0zFDlpG683lT2dqcQ
e8+DpghsVaFxyA0HhLpe+Uj3VPXCqAamsXiyfOV9FRW5tZT6n2RrABDrg190ZlCTDqzvDTosUPWF
LMSAKBUUZLDH1kIj7P0=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
dU1lj3wLYN2oBu3b76t4HEt238DNk5+Obmy1zgJeHU7rLBtTHV8UnHhRI8PwXXRPMJgrJSDjBzNQ
+ZLOT+PNgKe7NXaY01MJhUg5IzH9X6ZAbG3w3IL1/7gL7K6upxJUT61Am45EblqoUFtRFVJDxUNh
Bd8MVvlvXZZ66YB0ezm0hTdwdHAYwZ92l9kdTDjIOUN+Jrn85yeycl9Cxu8aIJaiJpiPjNggt0r7
W0kCE0hFF+swK8rZcxOqOLnQ5Uw2Ji8S+E4OYHjUu5yMJL7V5wNFfUHmF9Sc5jyP/mtan4mmu5J4
a/+rlOaidyY5SAZA+m4p3+hj+JN1qzj8TeLhtg==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
awqcS4G1ayV64bhRxb2ad9Xg57ysH9KZCzgHZHu8Tmnl74kk+tHqUQBvhiolD+v8jr8AGMVo4blw
g75xmAibXafuL9Iv+WrFhYMVK6o+zPGZZLMkNtFS8zqdWka/9Q7TQ7QQbuzZUEZbJM/3vYY1iWRq
Y/oB/ixzA+Df5gDA5bY=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
JeYOat6TeNOn0Lwfj9kOs9eB1tXhm0apFaxmaQldY51fS0eKT90XxV+wEmwhre/Q9kRs/refblVV
DzXaATdPK7kvWKItPjzGkuwjoIEdIAYiZEyE5+ZwIqPH2W6BCpzMHIAHRXYo6tSScrR2uqBcPQGy
c8HaUqIW6z94Rr+QjtUESf9429NBJLRTbe5wnn4DHy20T/ChW4iPiERY98llpk4l8EtLJJsHABPK
yuTMFmtAnHva77c6Vi4OoiqkulSg5fyKN8MjtOlM/t3fozgQ4XTYiAOfp2kAU5dB96L6n1GJDuUa
UNpiYImHNxB5zlUsj9IoVRfTiotfmqiGSgaOMw==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 21696)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2013"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
ceM0ajQGyV4xEt0HrG/fuB+3NVFdwQkEyjC4haRoZWslKKs4yl4ILq7RT/jKXnsVkAWmSwMkAIVY
ybpeP1wARw==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
kukT7WQifxjY3WsecmUkERV4ZFv3OuhEihgSM4IB88HBbnFE5FquXt3wzdA0zFDlpG683lT2dqcQ
e8+DpghsVaFxyA0HhLpe+Uj3VPXCqAamsXiyfOV9FRW5tZT6n2RrABDrg190ZlCTDqzvDTosUPWF
LMSAKBUUZLDH1kIj7P0=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
dU1lj3wLYN2oBu3b76t4HEt238DNk5+Obmy1zgJeHU7rLBtTHV8UnHhRI8PwXXRPMJgrJSDjBzNQ
+ZLOT+PNgKe7NXaY01MJhUg5IzH9X6ZAbG3w3IL1/7gL7K6upxJUT61Am45EblqoUFtRFVJDxUNh
Bd8MVvlvXZZ66YB0ezm0hTdwdHAYwZ92l9kdTDjIOUN+Jrn85yeycl9Cxu8aIJaiJpiPjNggt0r7
W0kCE0hFF+swK8rZcxOqOLnQ5Uw2Ji8S+E4OYHjUu5yMJL7V5wNFfUHmF9Sc5jyP/mtan4mmu5J4
a/+rlOaidyY5SAZA+m4p3+hj+JN1qzj8TeLhtg==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
awqcS4G1ayV64bhRxb2ad9Xg57ysH9KZCzgHZHu8Tmnl74kk+tHqUQBvhiolD+v8jr8AGMVo4blw
g75xmAibXafuL9Iv+WrFhYMVK6o+zPGZZLMkNtFS8zqdWka/9Q7TQ7QQbuzZUEZbJM/3vYY1iWRq
Y/oB/ixzA+Df5gDA5bY=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
JeYOat6TeNOn0Lwfj9kOs9eB1tXhm0apFaxmaQldY51fS0eKT90XxV+wEmwhre/Q9kRs/refblVV
DzXaATdPK7kvWKItPjzGkuwjoIEdIAYiZEyE5+ZwIqPH2W6BCpzMHIAHRXYo6tSScrR2uqBcPQGy
c8HaUqIW6z94Rr+QjtUESf9429NBJLRTbe5wnn4DHy20T/ChW4iPiERY98llpk4l8EtLJJsHABPK
yuTMFmtAnHva77c6Vi4OoiqkulSg5fyKN8MjtOlM/t3fozgQ4XTYiAOfp2kAU5dB96L6n1GJDuUa
UNpiYImHNxB5zlUsj9IoVRfTiotfmqiGSgaOMw==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 21696)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2013"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
ceM0ajQGyV4xEt0HrG/fuB+3NVFdwQkEyjC4haRoZWslKKs4yl4ILq7RT/jKXnsVkAWmSwMkAIVY
ybpeP1wARw==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
kukT7WQifxjY3WsecmUkERV4ZFv3OuhEihgSM4IB88HBbnFE5FquXt3wzdA0zFDlpG683lT2dqcQ
e8+DpghsVaFxyA0HhLpe+Uj3VPXCqAamsXiyfOV9FRW5tZT6n2RrABDrg190ZlCTDqzvDTosUPWF
LMSAKBUUZLDH1kIj7P0=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
dU1lj3wLYN2oBu3b76t4HEt238DNk5+Obmy1zgJeHU7rLBtTHV8UnHhRI8PwXXRPMJgrJSDjBzNQ
+ZLOT+PNgKe7NXaY01MJhUg5IzH9X6ZAbG3w3IL1/7gL7K6upxJUT61Am45EblqoUFtRFVJDxUNh
Bd8MVvlvXZZ66YB0ezm0hTdwdHAYwZ92l9kdTDjIOUN+Jrn85yeycl9Cxu8aIJaiJpiPjNggt0r7
W0kCE0hFF+swK8rZcxOqOLnQ5Uw2Ji8S+E4OYHjUu5yMJL7V5wNFfUHmF9Sc5jyP/mtan4mmu5J4
a/+rlOaidyY5SAZA+m4p3+hj+JN1qzj8TeLhtg==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
awqcS4G1ayV64bhRxb2ad9Xg57ysH9KZCzgHZHu8Tmnl74kk+tHqUQBvhiolD+v8jr8AGMVo4blw
g75xmAibXafuL9Iv+WrFhYMVK6o+zPGZZLMkNtFS8zqdWka/9Q7TQ7QQbuzZUEZbJM/3vYY1iWRq
Y/oB/ixzA+Df5gDA5bY=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
JeYOat6TeNOn0Lwfj9kOs9eB1tXhm0apFaxmaQldY51fS0eKT90XxV+wEmwhre/Q9kRs/refblVV
DzXaATdPK7kvWKItPjzGkuwjoIEdIAYiZEyE5+ZwIqPH2W6BCpzMHIAHRXYo6tSScrR2uqBcPQGy
c8HaUqIW6z94Rr+QjtUESf9429NBJLRTbe5wnn4DHy20T/ChW4iPiERY98llpk4l8EtLJJsHABPK
yuTMFmtAnHva77c6Vi4OoiqkulSg5fyKN8MjtOlM/t3fozgQ4XTYiAOfp2kAU5dB96L6n1GJDuUa
UNpiYImHNxB5zlUsj9IoVRfTiotfmqiGSgaOMw==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 21696)
`protect data_block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`protect end_protected
|
-- Copyright (C) 2001 Bill Billowitch.
-- Some of the work to develop this test suite was done with Air Force
-- support. The Air Force and Bill Billowitch assume no
-- responsibilities for this software.
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: tc1681.vhd,v 1.2 2001-10-26 16:29:42 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c09s01b00x00p09n01i01681ent IS
END c09s01b00x00p09n01i01681ent;
ARCHITECTURE c09s01b00x00p09n01i01681arch OF c09s01b00x00p09n01i01681ent IS
BEGIN
lab : block
begin
end block lab; -- labels match
TESTING: PROCESS
BEGIN
assert FALSE
report "***PASSED TEST: c09s01b00x00p09n01i01681"
severity NOTE;
wait;
END PROCESS TESTING;
END c09s01b00x00p09n01i01681arch;
|
-- Copyright (C) 2001 Bill Billowitch.
-- Some of the work to develop this test suite was done with Air Force
-- support. The Air Force and Bill Billowitch assume no
-- responsibilities for this software.
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: tc1681.vhd,v 1.2 2001-10-26 16:29:42 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c09s01b00x00p09n01i01681ent IS
END c09s01b00x00p09n01i01681ent;
ARCHITECTURE c09s01b00x00p09n01i01681arch OF c09s01b00x00p09n01i01681ent IS
BEGIN
lab : block
begin
end block lab; -- labels match
TESTING: PROCESS
BEGIN
assert FALSE
report "***PASSED TEST: c09s01b00x00p09n01i01681"
severity NOTE;
wait;
END PROCESS TESTING;
END c09s01b00x00p09n01i01681arch;
|
-- Copyright (C) 2001 Bill Billowitch.
-- Some of the work to develop this test suite was done with Air Force
-- support. The Air Force and Bill Billowitch assume no
-- responsibilities for this software.
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: tc1681.vhd,v 1.2 2001-10-26 16:29:42 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c09s01b00x00p09n01i01681ent IS
END c09s01b00x00p09n01i01681ent;
ARCHITECTURE c09s01b00x00p09n01i01681arch OF c09s01b00x00p09n01i01681ent IS
BEGIN
lab : block
begin
end block lab; -- labels match
TESTING: PROCESS
BEGIN
assert FALSE
report "***PASSED TEST: c09s01b00x00p09n01i01681"
severity NOTE;
wait;
END PROCESS TESTING;
END c09s01b00x00p09n01i01681arch;
|
-------------------------------------------------------------------------------
--
-- T420/421 ROM.
--
-- $Id: t420_rom-e.vhd,v 1.1 2006-05-14 22:29:01 arniml Exp $
--
-- Copyright (c) 2006 Arnim Laeuger ([email protected])
--
-- All rights reserved
--
-- Redistribution and use in source and synthezised forms, with or without
-- modification, are permitted provided that the following conditions are met:
--
-- Redistributions of source code must retain the above copyright notice,
-- this list of conditions and the following disclaimer.
--
-- Redistributions in synthesized form must reproduce the above copyright
-- notice, this list of conditions and the following disclaimer in the
-- documentation and/or other materials provided with the distribution.
--
-- Neither the name of the author nor the names of other contributors may
-- be used to endorse or promote products derived from this software without
-- specific prior written permission.
--
-- THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
-- AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
-- THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
-- PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE
-- LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
-- CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
-- SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
-- INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
-- CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
-- ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
-- POSSIBILITY OF SUCH DAMAGE.
--
-- Please report bugs to the author, but before you do so, please
-- make sure that this is not a derivative work and that
-- you have the latest version of this file.
--
-- The latest version of this file can be found at:
-- http://www.opencores.org/cvsweb.shtml/t400/
--
-------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
entity t420_rom is
port (
ck_i : in std_logic;
addr_i : in std_logic_vector(9 downto 0);
data_o : out std_logic_vector(7 downto 0)
);
end t420_rom;
-------------------------------------------------------------------------------
-- File History:
--
-- $Log: not supported by cvs2svn $
-------------------------------------------------------------------------------
|
--*****************************************************************************
-- @Copyright 2013 by SIAT_HFUS_TEAM, All rights reserved.
-- Module name : HUCB2P0_TOP
-- Call by :
-- Description : this module is the top module of HUCB2P0.
-- IC : 5CGXFC7D7F31C8N
-- Version : A
-- Note: :
-- Author : Peitian Mu
-- Date : 2013.09.12
-- Update :
--*****************************************************************************
library ieee;
use ieee.std_logic_1164.all;
use ieee.std_logic_unsigned.all;
use ieee.std_logic_arith.all;
library work;
entity HUCB2P0_TOP is
port
(
I_reset : in std_logic; -- 复位,低有效--
I_ref_clk : in std_logic; -- 20M时钟
DDR3_A0 : out std_logic; -- not used
DDR3_A1 : out std_logic; -- not used
DDR3_A2 : out std_logic; -- not used
DDR3_A3 : out std_logic; -- not used
DDR3_A4 : out std_logic; -- not used
DDR3_A5 : out std_logic; -- not used
DDR3_A6 : out std_logic; -- not used
DDR3_A7 : out std_logic; -- not used
DDR3_A8 : out std_logic; -- not used
DDR3_A9 : out std_logic; -- not used
DDR3_A10 : out std_logic; -- not used
DDR3_A11 : out std_logic; -- not used
DDR3_A12 : out std_logic; -- not used
DDR3_A13 : out std_logic; -- not used
DDR3_D0 : inout std_logic; -- not used
DDR3_D1 : inout std_logic; -- not used
DDR3_D2 : inout std_logic; -- not used
DDR3_D3 : inout std_logic; -- not used
DDR3_D4 : inout std_logic; -- not used
DDR3_D5 : inout std_logic; -- not used
DDR3_D6 : inout std_logic; -- not used
DDR3_D7 : inout std_logic; -- not used
DDR3_D8 : inout std_logic; -- not used
DDR3_D9 : inout std_logic; -- not used
DDR3_D10 : inout std_logic; -- not used
DDR3_D11 : inout std_logic; -- not used
DDR3_D12 : inout std_logic; -- not used
DDR3_D13 : inout std_logic; -- not used
DDR3_D14 : inout std_logic; -- not used
DDR3_D15 : inout std_logic; -- not used
DDR3_BA0 : out std_logic; -- not used
DDR3_BA1 : out std_logic; -- not used
DDR3_BA2 : out std_logic; -- not used
DDR3_CAS : out std_logic_vector(0 downto 0); -- not used
DDR3_RAS : out std_logic_vector(0 downto 0); -- not used
DDR3_WE : out std_logic_vector(0 downto 0); -- not used
DDR3_CLK : out std_logic_vector(0 downto 0); -- not used
DDR3_CLK_n : out std_logic_vector(0 downto 0); -- not used
DDR3_DQS0 : inout std_logic; --not used
DDR3_DQS0_n : inout std_logic; --not used
DDR3_DQS1 : inout std_logic; --not used
DDR3_DQS1_n : inout std_logic; --not used
DDR3_ODT : out std_logic_vector(0 downto 0); --not used
DDR3_DML : out std_logic; --not used
DDR3_CKE : out std_logic_vector(0 downto 0); --not used
DDR3_DMU : out std_logic; --not used
DDR3_CS : out std_logic_vector(0 downto 0); --not used
DDR3_RST : out std_logic; --not used
--ADC ADS58C48
O_adca_sen : out std_logic; -- 此ADC未使用
I_adca_sd : in std_logic;
O_adca_sdata : out std_logic;
O_adca_sclk : out std_logic;
O_adca_rst : out std_logic;
O_adca_pdn : out std_logic;
O_adca_snrb0 : out std_logic;
O_adca_snrb1 : out std_logic;
I_adca_oclk : in std_logic;
I_adca_d : in std_logic_vector(5 downto 0);
I_adcb_d : in std_logic_vector(5 downto 0);
I_adcc_d : in std_logic_vector(5 downto 0);
I_adcd_d : in std_logic_vector(5 downto 0);
--ADC AD9634
I_adce_clk : in std_logic; -- 此ADC未使用
I_adce_d : in std_logic_vector(5 downto 0);
I_adce_or : in std_logic;
O_adce_csb : out std_logic;
O_adce_sdio : out std_logic;
O_adce_sclk : out std_logic;
--ADC AD9230
I_adcf_clk : in std_logic; -- 此ADC用于本项目数据采集 --240M
I_adcf_d : in std_logic_vector(11 downto 0);
I_adcf_or : in std_logic;
O_adcf_pwdn : out std_logic;
O_adcf_csb : out std_logic;
O_adcf_sclk : out std_logic;
O_adcf_sdio : out std_logic;
O_adcf_reset : out std_logic;
--ADC AD9235
I_m_adc_d : in std_logic_vector(11 downto 0); -- 此ADC未使用
O_m_adc_clk : out std_logic;
I_m_adc_otr : in std_logic;
O_m_adc_pdwn : out std_logic;
O_pulse : out std_logic_vector(3 downto 0); -- 未使用
O_pulse_0pd : out std_logic; -- 未使用
O_pulse_1pd : out std_logic; -- 未使用
O_pulse_2pd : out std_logic; -- 未使用
O_pulse_3pd : out std_logic; -- 未使用
O_8220pulse : out std_logic_vector(3 downto 0); -- 发射通道
O_8020islpulse : out std_logic_vector(3 downto 0); -- 未使用
O_8020mdpulse : out std_logic_vector(7 downto 0); -- 未使用
----------pll configuration
O_pll_rst : out std_logic; -- 此PLL用于ADC时钟配置,使用方法可参考AD9518的datasheet。
O_pll_sync : out std_logic;
O_pll_sdio : out std_logic;
O_pll_pd : out std_logic;
O_pll_cs : out std_logic;
O_pll_sclk : out std_logic;
I_pll_refmon : in std_logic; --not used
I_pll_ld : in std_logic; --not used
I_pll_status : in std_logic; --not used
I_pll_sdo : in std_logic; --not used
I_iotrig : in std_logic; -- X10 I/O -- not used
I_ioenable : in std_logic; -- X2 I/O -- not used
BEEP : in std_logic; -- 蜂鸣器未使用 -- not used
DA_SYNC : out std_logic; -- AD5300,是ADI公司的DAC,用于输出sine给功放驱动电磁铁。
DA_SCLK : out std_logic; -- AD5300
DA_DIN : out std_logic; -- AD5300
FPGA_IO0 : in std_logic; -- 未使用 --not used
FPGA_IO1 : in std_logic; -- 未使用 --not used
SRAM_WE : in std_logic; -- 未使用 --not used
SRAM_OE : in std_logic; --not used
SRAM_CLK : in std_logic; --not used
SRAM_ADV : in std_logic; --not used
SRAM_CRE : in std_logic; --not used
SRAM_LB : in std_logic; --not used
SRAM_UB : in std_logic; --not used
O_swi_dir : out std_logic; -- 电压转换芯片74LVC4245APW
O_swi_oe : out std_logic; -- 电压转换芯片74LVC4245APW
I_swi0 : in std_logic; --not used
I_swi1 : in std_logic; --not used
I_swi2 : in std_logic; --not used
I_swi3 : in std_logic; --not used
I_swi4 : in std_logic; --not used
PCIE_SMCLK : in std_logic; --not used
PCIE_SMDAT : in std_logic; --not used
PCIE_WAKE : in std_logic; --not used
PCIE_PERST : in std_logic; --not used
DAC_SLEEP : in std_logic; --not used
DAC_GD0 : in std_logic; --not used
DAC_GD1 : in std_logic; --not used
DAC_GD2 : in std_logic; --not used
DAC_GD3 : in std_logic; --not used
DAC_GD4 : in std_logic; --not used
DAC_GD5 : in std_logic; --not used
DAC_GD6 : in std_logic; --not used
DAC_GD7 : in std_logic; --not used
SRAM_D0 : in std_logic; --not used
SRAM_D1 : in std_logic; --not used
SRAM_D2 : in std_logic; --not used
SRAM_D3 : in std_logic; --not used
SRAM_D4 : in std_logic; --not used
SRAM_D5 : in std_logic; --not used
SRAM_D6 : in std_logic; --not used
SRAM_D7 : in std_logic; --not used
SRAM_D8 : in std_logic; --not used
SRAM_D9 : in std_logic; --not used
SRAM_D10 : in std_logic; --not used
SRAM_D11 : in std_logic; --not used
SRAM_D12 : in std_logic; --not used
SRAM_D13 : in std_logic; --not used
SRAM_D14 : in std_logic; --not used
SRAM_D15 : in std_logic; --not used
SRAM_A0 : in std_logic; --not used
SRAM_A1 : in std_logic; --not used
SRAM_A2 : in std_logic; --not used
SRAM_A3 : in std_logic; --not used
SRAM_A4 : in std_logic; --not used
SRAM_A5 : in std_logic; --not used
SRAM_A6 : in std_logic; --not used
SRAM_A7 : in std_logic; --not used
SRAM_A8 : in std_logic; --not used
SRAM_A9 : in std_logic; --not used
SRAM_A10 : in std_logic; --not used
SRAM_A11 : in std_logic; --not used
SRAM_A12 : in std_logic; --not used
SRAM_A13 : in std_logic; --not used
SRAM_A14 : in std_logic; --not used
SRAM_A15 : in std_logic; --not used
SRAM_A16 : in std_logic; --not used
SRAM_A17 : in std_logic; --not used
SRAM_A18 : in std_logic; --not used
SRAM_A19 : in std_logic; --not used
SRAM_A20 : in std_logic; --not used
SRAM_A21 : in std_logic; --not used
SRAM_WAIT : in std_logic; --not used
SRAM_CE : in std_logic; --not used
----------USB
O_usb_pclk : out std_logic; --CTL[0] SLCS#
--CTL[1] SLWR#
I_usb_flga : in std_logic := '0'; --CTL[2] SLOE#
I_usb_flgb : in std_logic := '0'; --CTL[3] SLRD#
--CTL[4] FLAGA
O_usb_cs : out std_logic; --CTL[5] FLAGB
O_usb_wr : out std_logic; --CTL[7] PKTEND#
O_usb_rd : out std_logic; --CTL[11] A1
O_usb_oe : out std_logic; --CTL[12] A0
O_usb_a0 : out std_logic;
O_usb_a1 : out std_logic;
O_usb_pkt : out std_logic;
O_usb_int : out std_logic;
O_usb_reset : out std_logic;
IO_usb_dq : inout std_logic_vector(31 downto 0);
O_usb_uart_rxd : out std_logic;
I_usb_uart_rts : in std_logic; --not used
I_usb_uart_txd : in std_logic;
O_usb_uart_cts : out std_logic; --not used
----------USB unused
USB_CTL6 : in std_logic; --not used
USB_CTL8 : in std_logic; --not used
USB_CTL9 : in std_logic; --not used
USB_CTL10 : in std_logic; --not used
O_usb_clk : out std_logic;
O_usb_i2s : out std_logic_vector(3 downto 0); --not used
O_usb_gpio : out std_logic_vector(5 downto 0); --not used
-- PCIE_RX_0 : in std_logic;
-- PCIE_RX_1 : in std_logic;
-- PCIE_RX_2 : in std_logic;
-- PCIE_RX_3 : in std_logic;
-- PCIE_TX_0 : out std_logic;
-- PCIE_TX_1 : out std_logic;
-- PCIE_TX_2 : out std_logic;
-- PCIE_TX_3 : out std_logic;
-- PCIE_RCLK : in std_logic;
USB_CLKIN : in std_logic; --not used
-- FPGA_CLK : in std_logic;--LVDS
DAC_GCLK : in std_logic; -- 未使用 --not used
KEYIN0 : in std_logic; -- button
O_led : out std_logic_vector(3 downto 0) -- LED
);
end HUCB2P0_TOP;
architecture arc_HUCB2P0_TOP of HUCB2P0_TOP is
component pll_conf -- PLL AD9518
port
(
I_clk : in std_logic;
I_reset_n : in std_logic;
O_ADC_ready : out std_logic;
O_FPGA_ADC_d : out std_logic;
O_FPGA_ADC_clk : out std_logic;
O_FPGA_ADC_en : out std_logic;
O_FPGA_ADC_reset : out std_logic
);
end component;
component LED_HANDLE -- 未使用
port
(
I_26M_clk : in std_logic;
I_reset_n : in std_logic;
I_led_dis : in std_logic_vector(3 downto 0);
I_adc_dis : in std_logic;
I_fifo_full : in std_logic;
O_fpga_led0 : out std_logic;
O_fpga_led1 : out std_logic;
O_fpga_led2 : out std_logic;
O_fpga_led3 : out std_logic
);
end component;
component frontend -- 重要,数据采集时序。
port
(
I_reset_n : in std_logic;
I_sys_clk : in std_logic;
I_scan_trig : in std_logic; --scan triger
I_reg_csr : in std_logic_vector(31 downto 0);
--ADC
I_adc_d : in std_logic_vector(11 downto 0);
I_adc_or : in std_logic;
I_f2pc_full : in std_logic;
O_pixel_symbol : out std_logic;
O_pixel_en : out std_logic;
O_pixel_data : out std_logic_vector(15 downto 0);
O_pulse_trig : out std_logic;
O_shake_start : out std_logic
);
end component;
component Interface -- 采集时序和USB3.0时序之间的连接
port
(
I_reset_n : in std_logic;
I_sys_clk : in std_logic;
--work control
O_register : out std_logic_vector(31 downto 0);
--image data output
I_data_en : in std_logic;
I_data_symbol : in std_logic;
I_data : in std_logic_vector(15 downto 0);
---usb FIFO
O_wfifo_reset : out std_logic;
O_usb_wrreq : out std_logic;
O_usb_din : out std_logic_vector(15 downto 0);
O_usb_rdreq : out std_logic;
I_usb_dout : in std_logic_vector(31 downto 0);
I_usb_rdempty : in std_logic
);
end component;
component usb_121pll -- USB逻辑时钟倍频 20->60
port
(
refclk : in std_logic := '0'; -- refclk.clk
rst : in std_logic := '0'; -- reset.reset
outclk_0 : out std_logic; -- outclk0.clk
outclk_1 : out std_logic; -- outclk0.clk
locked : out std_logic -- locked.export
);
end component;
component adc_pll -- ADC时钟分频,240->60
port
(
refclk : in std_logic := '0'; -- refclk.clk
rst : in std_logic := '0'; -- reset.reset
outclk_0 : out std_logic; -- outclk0.clk
outclk_1 : out std_logic -- locked.export
);
end component;
component pulse -- 超声发射
port
(
I_clk : in std_logic;
I_reset_n : in std_logic;
I_pulse_trig : in std_logic;
O_pulse : out std_logic_vector(3 downto 0)
);
end component;
component AD9634 -- 未使用
port
(
I_adce_clk : in std_logic;
I_adce_d : in std_logic_vector(5 downto 0);
I_adce_or : in std_logic;--LVDS
O_adce_csb : out std_logic;
O_adce_sdio : out std_logic;
O_adce_sclk : out std_logic;
O_adce_data : out std_logic_vector(11 downto 0)
);
end component;
component AD9235 -- 未使用
port
(
I_m_adc_d : in std_logic_vector(11 downto 0);
O_m_adc_clk : out std_logic;
I_m_adc_otr : in std_logic;
O_m_adc_pdwn : out std_logic
);
end component;
component ADS58C48 -- 未使用
port
(
O_adca_sen : out std_logic;
I_adca_sd : in std_logic;
O_adca_sdata : out std_logic;
O_adca_sclk : out std_logic;
O_adca_rst : out std_logic;
O_adca_pdn : out std_logic;
O_adca_snrb0 : out std_logic;
O_adca_snrb1 : out std_logic;
I_adca_oclk : in std_logic;
I_adca_d : in std_logic_vector(5 downto 0);
I_adcb_d : in std_logic_vector(5 downto 0);
I_adcc_d : in std_logic_vector(5 downto 0);
I_adcd_d : in std_logic_vector(5 downto 0);
O_adca_data : out std_logic_vector(11 downto 0);
O_adcb_data : out std_logic_vector(11 downto 0);
O_adcc_data : out std_logic_vector(11 downto 0);
O_adcd_data : out std_logic_vector(11 downto 0)
);
end component;
component p2s_dac -- AD5300,DAC时序,串行控制。
port(
a,clk,clr : in std_logic;
datain1 : in std_logic_vector(15 downto 0);
ld,s_data : out std_logic);
end component;
component sine_rom -- 正弦波查找表
PORT
(
address : IN STD_LOGIC_VECTOR (6 DOWNTO 0);
clock : IN STD_LOGIC := '1';
q : OUT STD_LOGIC_VECTOR (7 DOWNTO 0)
);
END component;
COMPONENT usb_top -- 新版本USB3.0时序,对用户来说就是操作FIFO。
PORT
(
I_sys_clk : IN STD_LOGIC := '1';
I_usb_clk : IN STD_LOGIC;
I_sys_rst : IN STD_LOGIC ;
I_usb_rst : IN STD_LOGIC;
I_usb_wfifo_aclr : IN STD_LOGIC;
I_usb_wrreq : IN STD_LOGIC;
I_usb_din : IN STD_LOGIC_VECTOR(15 DOWNTO 0);
O_usb_wrfull : OUT STD_LOGIC;
O_usb_wruesdw : OUT STD_LOGIC_VECTOR(15 DOWNTO 0);
I_usb_rdreq : IN STD_LOGIC;
O_usb_dout : OUT STD_LOGIC_VECTOR(31 DOWNTO 0);
O_usb_rdempty : OUT STD_LOGIC;
I_usb_uart_tx_req : IN STD_LOGIC;
I_usb_uart_tx_data : IN STD_LOGIC_VECTOR(7 DOWNTO 0);
O_usb_uart_tx_full : OUT STD_LOGIC;
I_usb_uart_rx_req : IN STD_LOGIC;
O_usb_uart_rx_data : OUT STD_LOGIC_VECTOR(7 DOWNTO 0);
O_usb_uart_rx_empty : OUT STD_LOGIC;
O_usb_pclk : OUT STD_LOGIC;
O_usb_clk : OUT STD_LOGIC;
I_usb_flga : IN STD_LOGIC;
I_usb_flgb : IN STD_LOGIC;
O_usb_cs : OUT STD_LOGIC;
O_usb_wr : OUT STD_LOGIC;
O_usb_rd : OUT STD_LOGIC;
O_usb_oe : OUT STD_LOGIC;
O_usb_a0 : OUT STD_LOGIC;
O_usb_a1 : OUT STD_LOGIC;
O_usb_pkt : OUT STD_LOGIC;
O_usb_reset : OUT STD_LOGIC;
IO_usb_dq : INOUT STD_LOGIC_VECTOR(31 DOWNTO 0);
O_usb_uart_txd : OUT STD_LOGIC;
I_usb_uart_rxd : IN STD_LOGIC;
I_usb_dir : IN STD_LOGIC
);
END COMPONENT;
COMPONENT register_ctrl_top -- USB桥接芯片的串口通信部分,主要功能是接收上位机控制命令。
PORT
(
I_sys_clk : IN STD_LOGIC := '1';
I_sys_rst : IN STD_LOGIC := '1';
O_usb_uart_tx_req : OUT STD_LOGIC;
O_usb_uart_tx_data : OUT STD_LOGIC_VECTOR(7 DOWNTO 0);
I_usb_uart_tx_full : IN STD_LOGIC := '0';
O_usb_uart_rx_req : OUT STD_LOGIC;
I_usb_uart_rx_data : IN STD_LOGIC_VECTOR(7 DOWNTO 0) := "00000000";
I_usb_uart_rx_empty : IN STD_LOGIC := '0';
O_usb_dir : OUT STD_LOGIC;
O_motor_start : OUT STD_LOGIC;
tp : OUT STD_LOGIC;
I_key_start : IN STD_LOGIC := '1'
);
END COMPONENT;
signal S_usb_wrfull : std_logic:= '0';
signal S_pulse : std_logic_vector (3 downto 0);
signal s_trig_pulse : std_logic;
constant c_speed_test : integer := 40000;
signal s_reset : std_logic := '0';
signal s_scan_trig : std_logic;
signal s_scan_trig_buf : std_logic;
signal s_pll_reset : std_logic;
signal S_pll_ready : std_logic;
signal S_usb_wrreq : std_logic;
signal S_usb_din : std_logic_vector(15 downto 0);
signal S_usb_wrusedw : std_logic_vector(15 downto 0):="0000000000000000";
signal S_usb_rdreq : std_logic;
signal S_usb_dout : std_logic_vector(31 downto 0);
signal S_usb_rdempty : std_logic;
signal S_usb_rdusedw : std_logic_vector(4 downto 0);
------------usb write state-------------
signal S_usb_wr_state : std_logic_vector(1 downto 0);
signal S_usb_wr_cnt : std_logic_vector(9 downto 0);
------------usb read state--------------
signal S_usb_pulse_state: std_logic_vector(1 downto 0);
signal s_usb_clk : std_logic;
signal s_pll_locked : std_logic;
-------constant for reset and logic judgement------------------
constant C_RST_ON : std_logic := '0'; --reset signal the system is low reset
constant C_ACT_ON : std_logic := '1'; --logic judgement signal
constant C_ACT_OFF : std_logic := '0';
signal S_case_test : std_logic_vector(1 downto 0);
signal S_case_work : std_logic_vector(1 downto 0);
signal S_ad_buf : std_logic_vector(11 downto 0);
signal S_ad_1buf : std_logic_vector(15 downto 0);
signal S_register : std_logic_vector(31 downto 0):="00000000000000000000000000000000";
signal s_test_cn : std_logic_vector(19 downto 0);
signal s_work_cn : std_logic_vector(19 downto 0);
signal s_line_no : std_logic_vector(15 downto 0);
signal s_line_comb : std_logic_vector(15 downto 0);
signal s_pixel_data : std_logic_vector(15 downto 0);
signal S_pixel_symbol : std_logic;
signal S_pixel_en : std_logic;
signal s_sys_clk : std_logic;
signal s_sys_reset : std_logic;
signal s_pll_lock : std_logic;
signal S_pulse_trig : std_logic;
signal S_swi4 : std_logic;
signal S_key_start_dcnt : std_logic_vector (15 downto 0):="0000000000000000";
signal S_key_start_dclk : std_logic;
signal S_adce_data : std_logic_vector(11 downto 0);
signal S_adca_data : std_logic_vector(11 downto 0);
signal S_adcb_data : std_logic_vector(11 downto 0);
signal S_adcc_data : std_logic_vector(11 downto 0);
signal S_adcd_data : std_logic_vector(11 downto 0);
signal s_clk_60m : std_logic;
signal s_clk_60m_st : std_logic;
signal S_DA_SYNC : std_logic;
signal S_DA_cnt : std_logic_vector(4 downto 0):="00000";
signal S_DA_a : std_logic;
signal S_DA_addr : std_logic_vector(7 downto 0);
signal S_DA_rom_q : std_logic_vector(7 downto 0);
signal S_KEYIN0 : std_logic;
signal S_clk_4883_cnt : std_logic_vector(7 downto 0);
signal S_clk_4883 : std_logic:='0';
signal S_key0_cnt : std_logic_vector(24 downto 0);
signal S_key0_dclk : std_logic;
signal S_usb_uart_tx_req : std_logic;
signal S_usb_uart_tx_data : std_logic_vector(7 downto 0);
signal S_usb_uart_tx_full : std_logic;
signal S_usb_uart_rx_req : std_logic;
signal S_usb_uart_rx_data : std_logic_vector(7 downto 0);
signal S_usb_uart_rx_empty : std_logic;
signal S_usb_dir : std_logic;
signal S_motor_start : std_logic;
signal s_usb_clk_180 : std_logic;
signal S_motor_start_delay : std_logic;
signal S_shake_start : std_logic:='0';
signal S_key_start_temp1 : std_logic;
signal S_key_start_temp2 : std_logic;
signal S_key_start : std_logic;
begin
--s_sys_clk <= I_adcf_clk;
O_pll_pd <= '1'; --Chip Power Down, Active Low
O_pll_sync <= '1'; --Manual Synchronizations and Manual Holdover, Active Low
O_pll_rst <= not s_pll_reset;
O_adcf_pwdn <= '0';
O_adcf_csb <= '1';
O_adcf_sclk <= '1';
O_adcf_sdio <= '1';
O_adcf_reset <= '1';
--------------------------------
--pulse
--------------------------------
--O_pulse_0pd <= '0'; --1 power down
--O_pulse_1pd <= '0';
--O_pulse_2pd <= '0';
--O_pulse_3pd <= '0';
--O_pulse <= S_pulse;
--O_8020islpulse <= S_pulse;
--O_8020mdpulse(7 downto 6) <= S_pulse(1 downto 0);
O_8220pulse(3 downto 0) <= S_pulse(3 downto 0);
U0 : pll_conf -- 用于片外PLL配置ADC时钟,也可以不看。
port map
(
I_clk => I_ref_clk, --20M
I_reset_n => s_pll_lock ,
O_ADC_ready => S_pll_ready,
O_FPGA_ADC_d => O_pll_sdio,
O_FPGA_ADC_clk => O_pll_sclk,
O_FPGA_ADC_en => O_pll_cs,
O_FPGA_ADC_reset => s_pll_reset
);
U1_LED_HANDLE : LED_HANDLE
port map
(
I_26M_clk => I_ref_clk ,
I_reset_n => s_pll_lock ,
I_led_dis => "0100" ,
I_adc_dis => '0' ,
I_fifo_full => S_usb_wrfull ,
O_fpga_led0 => open,--O_led(0) ,
O_fpga_led1 => open,--O_led(1) ,
O_fpga_led2 => open,--O_led(2) ,
O_fpga_led3 => open--O_led(3)
);
U0_pulse : pulse -- 5M发射,60M时钟,类似于分频实现,可参考TC8220的发射时序。
port map
(
I_clk => s_clk_60m,--s_sys_clk,
I_reset_n => s_pll_lock,
I_pulse_trig => S_pulse_trig,--s_trig_pulse,
O_pulse => S_pulse
);
--------------------------------
--pulse
--------------------------------
O_pulse_0pd <= '0'; --1 power down
O_pulse_1pd <= '0';
O_pulse_2pd <= '1';
O_pulse_3pd <= '1';
s_sys_reset <= not I_reset;
U4_usb_pll : usb_121pll -- USB逻辑时钟
port map
(
refclk => I_ref_clk, --20M--
rst => s_sys_reset,
outclk_0 => s_usb_clk, --60M--
outclk_1 => s_usb_clk_180, --60M--
locked => s_pll_lock ----
);
U5_adc_pll : adc_pll -- ADC随路时钟分频得到的60M,用于数据采集。
port map
(
refclk => I_adcf_clk, --240M
rst => s_sys_reset,
outclk_0 => s_clk_60m,
outclk_1 => s_clk_60m_st
);
U0_frontend : frontend -- 重要,数据采集时序。
port map
(
I_reset_n => s_pll_lock ,
I_sys_clk => s_clk_60m ,
I_scan_trig => S_motor_start_delay, --motor start--
I_reg_csr => s_register, -- not used --
--ADC
I_adc_d => I_adcf_d,
I_adc_or => I_adcf_or ,
I_f2pc_full => S_usb_wrfull , --not used--
O_pixel_symbol => S_pixel_symbol, --receive valid--
O_pixel_en => S_pixel_en, --18000 period valid --
O_pixel_data => S_pixel_data, --receive data --
O_pulse_trig => S_pulse_trig, --trans valid --
O_shake_start => S_shake_start -- shake valid --
);
U4_interface : Interface -- 采集时序和USB3.0时序之间的连接
port map
(
I_reset_n => s_pll_lock,
I_sys_clk => s_clk_60m,
--work control
O_register => s_register, -- output not used--
--image data output
I_data_en => S_pixel_en, --18000 period valid--
I_data_symbol => S_pixel_symbol, --receive valid--
I_data => S_pixel_data, --receive data --
---usb FIFO
O_wfifo_reset => s_reset, --output for usb_top--
O_usb_wrreq => S_usb_wrreq, --output for usb_top--
O_usb_din => S_usb_din, --output for usb_top--
O_usb_rdreq => S_usb_rdreq, --output for usb_top--
I_usb_dout => S_usb_dout, --input from usb_top--
I_usb_rdempty => S_usb_rdempty --input from usb_top--
);
U33_usbcore : usb_top -- USB3.0
port map
(
I_sys_clk => s_clk_60m, --60M--
I_usb_clk => s_usb_clk, --60M--
I_sys_rst => not s_pll_lock,
I_usb_rst => not s_pll_lock,
I_usb_wfifo_aclr => s_reset, --input
I_usb_wrreq => S_usb_wrreq, --input
I_usb_din => S_usb_din, --input
O_usb_wrfull => S_usb_wrfull, --output-- not used--
O_usb_wruesdw => S_usb_wrusedw, --output-- not used--
I_usb_rdreq => S_usb_rdreq, --input--
O_usb_dout => S_usb_dout, --output--
O_usb_rdempty => S_usb_rdempty, --output--
I_usb_uart_tx_req => S_usb_uart_tx_req, --input--
I_usb_uart_tx_data => S_usb_uart_tx_data,--input--
O_usb_uart_tx_full => S_usb_uart_tx_full,--output--
I_usb_uart_rx_req => S_usb_uart_rx_req, --input--
O_usb_uart_rx_data => S_usb_uart_rx_data,--output--
O_usb_uart_rx_empty => S_usb_uart_rx_empty,--output--
O_usb_pclk => open, --O_usb_pclk,
O_usb_clk => open,
I_usb_flga => I_usb_flga, --input--
I_usb_flgb => I_usb_flgb, --input--
O_usb_cs => O_usb_cs, --output--
O_usb_wr => O_usb_wr, --output--
O_usb_rd => O_usb_rd, --output--
O_usb_oe => O_usb_oe, --output--
O_usb_a0 => O_usb_a0, --output--
O_usb_a1 => O_usb_a1, --output--
O_usb_pkt => O_usb_pkt, --output-- not used --
O_usb_reset => O_usb_reset, --output-- not used--
IO_usb_dq => IO_usb_dq, --inout--
O_usb_uart_txd => O_usb_uart_rxd, --output--
I_usb_uart_rxd => I_usb_uart_txd, --input--
I_usb_dir => S_usb_dir --input--
);
O_usb_pclk <= s_usb_clk_180;
U44_register_ctrl_top : register_ctrl_top
port map
(
I_sys_clk => s_clk_60m,
I_sys_rst => not s_pll_lock,
O_usb_uart_tx_req => S_usb_uart_tx_req,
O_usb_uart_tx_data => S_usb_uart_tx_data,
I_usb_uart_tx_full => S_usb_uart_tx_full,
O_usb_uart_rx_req => S_usb_uart_rx_req,
I_usb_uart_rx_data => S_usb_uart_rx_data,
I_usb_uart_rx_empty => S_usb_uart_rx_empty,
O_usb_dir => S_usb_dir,
O_motor_start => S_motor_start,
tp => open,
I_key_start => S_key_start
);
U5_AD9634 : AD9634 -- 未使用
port map
(
I_adce_clk => I_adce_clk,
I_adce_d => I_adce_d,
I_adce_or => I_adce_or,
O_adce_csb => O_adce_csb,
O_adce_sdio => O_adce_sdio,
O_adce_sclk => O_adce_sclk,
O_adce_data => S_adce_data
);
U6_AD9235 : AD9235 -- 未使用
port map
(
I_m_adc_d => I_m_adc_d,
O_m_adc_clk => O_m_adc_clk,
I_m_adc_otr => I_m_adc_otr,
O_m_adc_pdwn => O_m_adc_pdwn
);
U7_ADS58C48 : ADS58C48 -- 未使用
port map
(
O_adca_sen => O_adca_sen,
I_adca_sd => I_adca_sd,
O_adca_sdata => O_adca_sdata,
O_adca_sclk => O_adca_sclk,
O_adca_rst => O_adca_rst,
O_adca_pdn => O_adca_pdn,
O_adca_snrb0 => O_adca_snrb0,
O_adca_snrb1 => O_adca_snrb1,
I_adca_oclk => I_adca_oclk,
I_adca_d => I_adca_d,
I_adcb_d => I_adcb_d,
I_adcc_d => I_adcc_d,
I_adcd_d => I_adcd_d,
O_adca_data => S_adca_data,
O_adcb_data => S_adcb_data,
O_adcc_data => S_adcc_data,
O_adcd_data => S_adcd_data
);
U8_p2s_dac : p2s_dac -- AD5300,DAC时序,串行控制。
port map(
a => S_DA_a,
clk => S_clk_4883,
clr => not s_pll_lock,
datain1 => "0000000" & S_DA_rom_q(7 downto 3) & "0000",
ld => S_DA_SYNC,
s_data => DA_DIN);
DA_SYNC <= not S_DA_SYNC;
DA_SCLK <= not S_clk_4883;
process(I_ref_clk, s_pll_lock) -- 20M时钟分频,最终实现100Hz正弦,20M/128(查找表)/32(串行数据长度)/100(设计频率)=48
begin
if s_pll_lock = '0' then
S_clk_4883_cnt <= (others=>'0');
S_clk_4883 <= '0';
elsif rising_edge(I_ref_clk) then
if (S_clk_4883_cnt /= 24)then -- 24翻转一次电平,实现48分频。
S_clk_4883_cnt <= S_clk_4883_cnt + 1;
else
S_clk_4883 <= not S_clk_4883;
S_clk_4883_cnt <= (others=>'0');
end if;
end if;
end process;
process(S_clk_4883)
begin
if rising_edge(S_clk_4883) then -- 分频后的时钟用作串行时钟,此处生成16个高电平用于串行DAC时序。
S_DA_cnt <= S_DA_cnt + 1;
if S_DA_cnt >= "00001" and S_DA_cnt <= "10001" then
S_DA_a <= '1'; --valid--
else
S_DA_a <= '0';
end if;
end if;
end process;
O_led(0) <= S_motor_start_delay; -- 软件界面点开始之后,灯会灭一下,其他时间常亮,用于工作指示
O_led(1) <= S_motor_start_delay;
O_led(2) <= S_motor_start_delay;
O_led(3) <= S_motor_start_delay;
process(s_clk_60m_st, s_pll_lock,S_motor_start) -- 将上位机通过USB串口发送的开始信号的边沿转变成持续一段时间的电平,作为采集时序的开始使能。
begin
if s_pll_lock = '0' then
S_key0_cnt <= (others=>'0');
elsif rising_edge(s_clk_60m_st) then
if(S_motor_start='1') then
S_motor_start_delay <= '1';
S_key0_cnt <= "0000000000000000000000001";
elsif((S_key0_cnt>"0000000000000000000000000") and (S_key0_cnt<"1000000000000000000000000")) then
S_key0_cnt <= S_key0_cnt + 1;
else
S_motor_start_delay <= '0';
S_key0_cnt <= "0000000000000000000000000"; -- dian deng !--
end if;
end if;
end process;
process(S_DA_a,S_shake_start)--,s_register)--S_KEYIN0)
begin
-- if s_register(0) = '1' then
if S_shake_start = '0' then
S_DA_addr <= "00000000";
elsif rising_edge(S_DA_a) then -- 每发射一组串行数据,地址+1,直到128完成一次正弦波查找表。
S_DA_addr <= S_DA_addr + 1;
if S_DA_addr > "01111111" then
S_DA_addr <= "10000000";
end if;
end if;
-- else
-- S_DA_addr <= "00000000";
-- end if;
end process;
U9_sine_rom : sine_rom -- 正弦波查找表
PORT map
(
address => S_DA_addr(6 downto 0),
clock => S_DA_a,
q => S_DA_rom_q
);
O_swi_dir <= '1'; -- 电压转换芯片的方向
O_swi_oe <= '0'; -- 电压转换芯片的使能
process(I_ref_clk, s_pll_lock)
begin
if s_pll_lock = '0' then
S_key_start_dcnt <= (others=>'0');
S_key_start_dclk <= '0';
elsif rising_edge(I_ref_clk) then
S_key_start_dcnt <= S_key_start_dcnt + 1;
if (S_key_start_dcnt = 0)then
S_key_start_dclk <= not S_key_start_dclk; -- 20*10^6/2^16/2 clk period --
end if;
end if;
end process;
process(S_key_start_dclk)
begin
if rising_edge(S_key_start_dclk) then
S_key_start_temp1 <= KEYIN0;
end if;
end process;
process(s_clk_60m,S_key_start_temp1)
begin
if rising_edge(s_clk_60m) then
S_key_start_temp2 <= S_key_start_temp1;
if S_key_start_temp2 = '0' and S_key_start_temp1 = '1' then --rise--
S_key_start <= '1';
else
S_key_start <= '0';
end if;
end if;
end process;
end arc_HUCB2P0_TOP;
|
-- -------------------------------------------------------------
--
-- File Name: hdlsrc\hdlcodercpu_eml\Program_Counter.vhd
-- Created: 2014-08-26 11:41:14
--
-- Generated by MATLAB 8.3 and HDL Coder 3.4
--
-- -------------------------------------------------------------
-- -------------------------------------------------------------
--
-- Module: Program_Counter
-- Source Path: hdlcodercpu_eml/CPU_Subsystem_8_bit/Program Counter
-- Hierarchy Level: 1
--
-- -------------------------------------------------------------
LIBRARY IEEE;
USE IEEE.std_logic_1164.ALL;
USE IEEE.numeric_std.ALL;
ENTITY Program_Counter IS
PORT( clk : IN std_logic;
reset : IN std_logic;
enb : IN std_logic;
func : IN std_logic_vector(1 DOWNTO 0); -- ufix2
addr_in : IN std_logic_vector(7 DOWNTO 0); -- uint8
addr_out : OUT std_logic_vector(7 DOWNTO 0) -- uint8
);
END Program_Counter;
ARCHITECTURE rtl OF Program_Counter IS
-- Signals
SIGNAL func_unsigned : unsigned(1 DOWNTO 0); -- ufix2
SIGNAL addr_in_unsigned : unsigned(7 DOWNTO 0); -- uint8
SIGNAL addr_out_tmp : unsigned(7 DOWNTO 0); -- uint8
SIGNAL PC_value : unsigned(7 DOWNTO 0); -- ufix8
SIGNAL PC_value_next : unsigned(7 DOWNTO 0); -- ufix8
BEGIN
func_unsigned <= unsigned(func);
addr_in_unsigned <= unsigned(addr_in);
Program_Counter_1_process : PROCESS (clk)
BEGIN
IF clk'EVENT AND clk = '1' THEN
IF reset = '1' THEN
PC_value <= to_unsigned(2#00000000#, 8);
ELSIF enb = '1' THEN
PC_value <= PC_value_next;
END IF;
END IF;
END PROCESS Program_Counter_1_process;
Program_Counter_1_output : PROCESS (func_unsigned, addr_in_unsigned, PC_value)
BEGIN
PC_value_next <= PC_value;
--MATLAB Function 'CPU_Subsystem_8_bit/Program Counter': '<S10>:1'
-- Program Counter
-- func = 0 => reset PC
-- func = 1 => load PC
-- func = 2 => increment PC
-- HDL specific fimath
--'<S10>:1:20'
addr_out_tmp <= PC_value;
CASE func_unsigned IS
WHEN "00" =>
-- reset
--'<S10>:1:25'
PC_value_next <= to_unsigned(2#00000000#, 8);
WHEN "01" =>
-- store into PC
--'<S10>:1:28'
PC_value_next <= addr_in_unsigned;
WHEN "10" =>
-- increment PC
--'<S10>:1:31'
PC_value_next <= PC_value + 1;
WHEN OTHERS =>
NULL;
END CASE;
END PROCESS Program_Counter_1_output;
addr_out <= std_logic_vector(addr_out_tmp);
END rtl;
|
-- #################################################################################################
-- # << NEO430 - Watchdog Timer >> #
-- # ********************************************************************************************* #
-- # The internal counter is 16 bit wide and triggers a HW reset when overflowing. The clock is #
-- # selected via the clk_sel bits of the control register. The WDT can only operate when the #
-- # enable bit is set. A write access to the WDT can only be performed, if the higher byte of the #
-- # written data contains the specific WDT password (0x47). I a write access occurs with a wrong #
-- # password, a HW reset is triggered, but only if the WDT is enabled. #
-- # ********************************************************************************************* #
-- # BSD 3-Clause License #
-- # #
-- # Copyright (c) 2020, Stephan Nolting. All rights reserved. #
-- # #
-- # Redistribution and use in source and binary forms, with or without modification, are #
-- # permitted provided that the following conditions are met: #
-- # #
-- # 1. Redistributions of source code must retain the above copyright notice, this list of #
-- # conditions and the following disclaimer. #
-- # #
-- # 2. Redistributions in binary form must reproduce the above copyright notice, this list of #
-- # conditions and the following disclaimer in the documentation and/or other materials #
-- # provided with the distribution. #
-- # #
-- # 3. Neither the name of the copyright holder nor the names of its contributors may be used to #
-- # endorse or promote products derived from this software without specific prior written #
-- # permission. #
-- # #
-- # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS #
-- # OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF #
-- # MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE #
-- # COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, #
-- # EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE #
-- # GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED #
-- # AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING #
-- # NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED #
-- # OF THE POSSIBILITY OF SUCH DAMAGE. #
-- # ********************************************************************************************* #
-- # The NEO430 Processor - https://github.com/stnolting/neo430 #
-- #################################################################################################
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
library neo430;
use neo430.neo430_package.all;
entity neo430_wdt is
port (
-- host access --
clk_i : in std_ulogic; -- global clock line
rst_i : in std_ulogic; -- external reset, low-active, use as async
rden_i : in std_ulogic; -- read enable
wren_i : in std_ulogic; -- write enable
addr_i : in std_ulogic_vector(15 downto 0); -- address
data_i : in std_ulogic_vector(15 downto 0); -- data in
data_o : out std_ulogic_vector(15 downto 0); -- data out
-- clock generator --
clkgen_en_o : out std_ulogic; -- enable clock generator
clkgen_i : in std_ulogic_vector(07 downto 0);
-- system reset --
rst_o : out std_ulogic -- timeout reset, low_active, use it as async!
);
end neo430_wdt;
architecture neo430_wdt_rtl of neo430_wdt is
-- IO space: module base address --
constant hi_abb_c : natural := index_size_f(io_size_c)-1; -- high address boundary bit
constant lo_abb_c : natural := index_size_f(wdt_size_c); -- low address boundary bit
-- Watchdog access password - do not change! --
constant wdt_password_c : std_ulogic_vector(07 downto 0) := x"47";
-- Control register bits --
constant ctrl_clksel0_c : natural := 0; -- r/w: prescaler select bit 0
constant ctrl_clksel1_c : natural := 1; -- r/w: prescaler select bit 1
constant ctrl_clksel2_c : natural := 2; -- r/w: prescaler select bit 2
constant ctrl_enable_c : natural := 3; -- r/w: WDT enable
constant ctrl_rcause_c : natural := 4; -- r/-: reset cause (0: external, 1: watchdog timeout)
constant ctrl_rpwfail_c : natural := 5; -- r/-: watchdog reset caused by wrong password access when '1'
-- access control --
signal acc_en : std_ulogic; -- module access enable
signal pwd_ok : std_ulogic; -- password correct
signal fail, fail_ff : std_ulogic; -- unauthorized access
signal wren : std_ulogic;
-- accessible regs --
signal rst_source : std_ulogic; -- source of the system reset: '0' = external, '1' = watchdog timeout
signal pw_fail : std_ulogic; -- watchdog reset caused by wrong password access
signal enable : std_ulogic;
signal clk_sel : std_ulogic_vector(02 downto 0);
-- reset counter --
signal cnt : std_ulogic_vector(16 downto 0);
signal rst_gen : std_ulogic_vector(03 downto 0);
signal rst_sync : std_ulogic_vector(01 downto 0);
-- prescaler clock generator --
signal prsc_tick : std_ulogic;
begin
-- Access Control -----------------------------------------------------------
-- -----------------------------------------------------------------------------
acc_en <= '1' when (addr_i(hi_abb_c downto lo_abb_c) = wdt_base_c(hi_abb_c downto lo_abb_c)) else '0';
pwd_ok <= '1' when (data_i(15 downto 8) = wdt_password_c) else '0'; -- password check
wren <= '1' when ((acc_en = '1') and (wren_i = '1') and (pwd_ok = '1')) else '0'; -- write access ok
fail <= '1' when ((acc_en = '1') and (wren_i = '1') and (pwd_ok = '0')) else '0'; -- write access fail!
-- Write Access, Reset Generator --------------------------------------------
-- -----------------------------------------------------------------------------
wdt_core: process(clk_i)
begin
if rising_edge(clk_i) then
if (rst_i = '0') or (rst_sync(1) = '0') then -- external or internal reset
enable <= '0'; -- disable WDT
clk_sel <= (others => '1'); -- slowest clock rst_source
rst_gen <= (others => '1'); -- do NOT fire on reset!
else
-- control register write access --
if (wren = '1') then -- allow write if password is correct
enable <= data_i(ctrl_enable_c);
clk_sel <= data_i(ctrl_clksel2_c downto ctrl_clksel0_c);
end if;
-- reset generator - enabled and (overflow or unauthorized access)? --
if (enable = '1') and ((cnt(cnt'left) = '1') or (fail_ff = '1')) then
rst_gen <= (others => '0');
else
rst_gen <= rst_gen(rst_gen'left-1 downto 0) & '1';
end if;
end if;
end if;
end process wdt_core;
-- enable external clock generator --
clkgen_en_o <= enable;
-- Counter Update -----------------------------------------------------------
-- -----------------------------------------------------------------------------
cnt_sync: process(clk_i)
begin
if rising_edge(clk_i) then
-- clock_en buffer --
prsc_tick <= clkgen_i(to_integer(unsigned(clk_sel)));
-- unauthorized access buffer --
fail_ff <= fail;
-- reset synchronizer --
rst_sync <= rst_sync(0) & rst_gen(rst_gen'left);
-- counter update --
if (wren = '1') then -- clear counter on write access (manual watchdog reset)
cnt <= (others => '0');
elsif (enable = '1') and (prsc_tick = '1') then
cnt <= std_ulogic_vector(unsigned('0' & cnt(cnt'left-1 downto 0)) + 1);
end if;
end if;
end process cnt_sync;
-- system reset --
rst_o <= rst_sync(1);
-- Reset Cause Indicator ----------------------------------------------------
-- -----------------------------------------------------------------------------
rst_cause: process(rst_i, clk_i)
begin
if (rst_i = '0') then
rst_source <= '0';
pw_fail <= '0';
elsif rising_edge(clk_i) then
rst_source <= rst_source or (cnt(cnt'left) and enable) or (fail_ff and enable); -- set on WDT timeout or access error
pw_fail <= (pw_fail or (fail_ff and enable)) and (not (cnt(cnt'left) and enable)); -- set on failed access, clear on WDT timeout
--pw_fail <= (pw_fail and (not (cnt(cnt'left) and enable))) or (fail_ff and enable); -- clear on WDT timeout, set on failed access
end if;
end process rst_cause;
-- Read Access --------------------------------------------------------------
-- -----------------------------------------------------------------------------
read_access: process(clk_i)
begin
if rising_edge(clk_i) then
data_o <= (others => '0');
if (acc_en = '1') and (rden_i = '1') then
data_o(ctrl_clksel2_c downto ctrl_clksel0_c) <= clk_sel;
data_o(ctrl_enable_c) <= enable;
data_o(ctrl_rcause_c) <= rst_source;
data_o(ctrl_rpwfail_c) <= pw_fail;
end if;
end if;
end process read_access;
end neo430_wdt_rtl;
|
------------------------------
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all; -- for arch1
-- use ieee.std_logic_arith.all; -- for arch2, arch3
-- best to use arch2 using numeric_std
------------------------------
entity signed_multiplier is
--generic declarations
port (
a: in std_logic_vector(3 downto 0);
b: in std_logic_vector(3 downto 0);
prod: out std_vector_vector(7 downto 0);
);
end entity;
------------------------------
architecture arch1 of signed_multiplier is
signal a_sig: signed(3 downto 0);
signal a_sig: signed(3 downto 0);
begin
a_sig <= signed(a);
b_sig <= signed(b);
prod <= std_logic_vector(a_sig * b_sig);
end architecture;
------------------------------
architecture arch2 of signed_multiplier is
signal a_sig: signed(3 downto 0);
signal b_sig: signed(3 downto 0);
signal prod: signed(7 downto 0);
begin
a_sig <= signed(a);
b_sig <= signed(b);
prod_sig <= a_sig * b_sig;
prod <= std_logic_vector(prod_sig);
end architecture;
------------------------------
architecture arch2 of signed_multiplier is
signal a_sig: signed(3 downto 0);
signal b_sig: signed(3 downto 0);
begin
a_sig <= signed(a);
b_sig <= signed(b);
prod <= std_logic_vector(signed(a_sig * b_sig));
end architecture;
------------------------------
|
-- Copyright (C) 2001 Bill Billowitch.
-- Some of the work to develop this test suite was done with Air Force
-- support. The Air Force and Bill Billowitch assume no
-- responsibilities for this software.
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: tc220.vhd,v 1.2 2001-10-26 16:29:46 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c03s01b01x00p06n03i00220ent IS
type e is (EMIN,ETYP,EMAX);
END c03s01b01x00p06n03i00220ent;
ARCHITECTURE c03s01b01x00p06n03i00220arch OF c03s01b01x00p06n03i00220ent IS
BEGIN
TESTING: PROCESS
BEGIN
assert NOT(e'pos(ETYP) < e'pos(EMAX))
report "***PASSED TEST: c03s01b01x00p06n03i00220"
severity NOTE;
assert (e'pos(ETYP) < e'pos(EMAX))
report "***FAILED TEST: c03s01b01x00p06n03i00220 - The position number of the value of each additional enumeration literal is one more than that of its predecessor in the list."
severity ERROR;
wait;
END PROCESS TESTING;
END c03s01b01x00p06n03i00220arch;
|
-- Copyright (C) 2001 Bill Billowitch.
-- Some of the work to develop this test suite was done with Air Force
-- support. The Air Force and Bill Billowitch assume no
-- responsibilities for this software.
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: tc220.vhd,v 1.2 2001-10-26 16:29:46 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c03s01b01x00p06n03i00220ent IS
type e is (EMIN,ETYP,EMAX);
END c03s01b01x00p06n03i00220ent;
ARCHITECTURE c03s01b01x00p06n03i00220arch OF c03s01b01x00p06n03i00220ent IS
BEGIN
TESTING: PROCESS
BEGIN
assert NOT(e'pos(ETYP) < e'pos(EMAX))
report "***PASSED TEST: c03s01b01x00p06n03i00220"
severity NOTE;
assert (e'pos(ETYP) < e'pos(EMAX))
report "***FAILED TEST: c03s01b01x00p06n03i00220 - The position number of the value of each additional enumeration literal is one more than that of its predecessor in the list."
severity ERROR;
wait;
END PROCESS TESTING;
END c03s01b01x00p06n03i00220arch;
|
-- Copyright (C) 2001 Bill Billowitch.
-- Some of the work to develop this test suite was done with Air Force
-- support. The Air Force and Bill Billowitch assume no
-- responsibilities for this software.
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: tc220.vhd,v 1.2 2001-10-26 16:29:46 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c03s01b01x00p06n03i00220ent IS
type e is (EMIN,ETYP,EMAX);
END c03s01b01x00p06n03i00220ent;
ARCHITECTURE c03s01b01x00p06n03i00220arch OF c03s01b01x00p06n03i00220ent IS
BEGIN
TESTING: PROCESS
BEGIN
assert NOT(e'pos(ETYP) < e'pos(EMAX))
report "***PASSED TEST: c03s01b01x00p06n03i00220"
severity NOTE;
assert (e'pos(ETYP) < e'pos(EMAX))
report "***FAILED TEST: c03s01b01x00p06n03i00220 - The position number of the value of each additional enumeration literal is one more than that of its predecessor in the list."
severity ERROR;
wait;
END PROCESS TESTING;
END c03s01b01x00p06n03i00220arch;
|
-- Copyright 1986-2016 Xilinx, Inc. All Rights Reserved.
-- --------------------------------------------------------------------------------
-- Tool Version: Vivado v.2016.4 (win64) Build 1733598 Wed Dec 14 22:35:39 MST 2016
-- Date : Thu May 25 21:06:44 2017
-- Host : GILAMONSTER running 64-bit major release (build 9200)
-- Command : write_vhdl -force -mode funcsim
-- C:/ZyboIP/examples/zed_dual_camera_test/zed_dual_camera_test.srcs/sources_1/bd/system/ip/system_ov7670_vga_1_0/system_ov7670_vga_1_0_sim_netlist.vhdl
-- Design : system_ov7670_vga_1_0
-- Purpose : This VHDL netlist is a functional simulation representation of the design and should not be modified or
-- synthesized. This netlist cannot be used for SDF annotated simulation.
-- Device : xc7z020clg484-1
-- --------------------------------------------------------------------------------
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
library UNISIM;
use UNISIM.VCOMPONENTS.ALL;
entity system_ov7670_vga_1_0_ov7670_vga is
port (
rgb : out STD_LOGIC_VECTOR ( 15 downto 0 );
active : in STD_LOGIC;
clk_x2 : in STD_LOGIC;
data : in STD_LOGIC_VECTOR ( 7 downto 0 )
);
attribute ORIG_REF_NAME : string;
attribute ORIG_REF_NAME of system_ov7670_vga_1_0_ov7670_vga : entity is "ov7670_vga";
end system_ov7670_vga_1_0_ov7670_vga;
architecture STRUCTURE of system_ov7670_vga_1_0_ov7670_vga is
signal cycle : STD_LOGIC;
signal \data_pair[15]_i_1_n_0\ : STD_LOGIC;
signal \data_pair[7]_i_1_n_0\ : STD_LOGIC;
signal \data_pair_reg_n_0_[0]\ : STD_LOGIC;
signal \data_pair_reg_n_0_[10]\ : STD_LOGIC;
signal \data_pair_reg_n_0_[11]\ : STD_LOGIC;
signal \data_pair_reg_n_0_[12]\ : STD_LOGIC;
signal \data_pair_reg_n_0_[13]\ : STD_LOGIC;
signal \data_pair_reg_n_0_[14]\ : STD_LOGIC;
signal \data_pair_reg_n_0_[15]\ : STD_LOGIC;
signal \data_pair_reg_n_0_[1]\ : STD_LOGIC;
signal \data_pair_reg_n_0_[2]\ : STD_LOGIC;
signal \data_pair_reg_n_0_[3]\ : STD_LOGIC;
signal \data_pair_reg_n_0_[4]\ : STD_LOGIC;
signal \data_pair_reg_n_0_[5]\ : STD_LOGIC;
signal \data_pair_reg_n_0_[6]\ : STD_LOGIC;
signal \data_pair_reg_n_0_[7]\ : STD_LOGIC;
signal \data_pair_reg_n_0_[8]\ : STD_LOGIC;
signal \data_pair_reg_n_0_[9]\ : STD_LOGIC;
signal rgb_regn_0_0 : STD_LOGIC;
begin
cycle_reg: unisim.vcomponents.FDRE
generic map(
INIT => '0'
)
port map (
C => clk_x2,
CE => '1',
D => \data_pair[7]_i_1_n_0\,
Q => cycle,
R => '0'
);
\data_pair[15]_i_1\: unisim.vcomponents.LUT2
generic map(
INIT => X"8"
)
port map (
I0 => cycle,
I1 => active,
O => \data_pair[15]_i_1_n_0\
);
\data_pair[7]_i_1\: unisim.vcomponents.LUT2
generic map(
INIT => X"2"
)
port map (
I0 => active,
I1 => cycle,
O => \data_pair[7]_i_1_n_0\
);
\data_pair_reg[0]\: unisim.vcomponents.FDRE
port map (
C => clk_x2,
CE => \data_pair[7]_i_1_n_0\,
D => data(0),
Q => \data_pair_reg_n_0_[0]\,
R => '0'
);
\data_pair_reg[10]\: unisim.vcomponents.FDRE
port map (
C => clk_x2,
CE => \data_pair[15]_i_1_n_0\,
D => data(2),
Q => \data_pair_reg_n_0_[10]\,
R => '0'
);
\data_pair_reg[11]\: unisim.vcomponents.FDRE
port map (
C => clk_x2,
CE => \data_pair[15]_i_1_n_0\,
D => data(3),
Q => \data_pair_reg_n_0_[11]\,
R => '0'
);
\data_pair_reg[12]\: unisim.vcomponents.FDRE
port map (
C => clk_x2,
CE => \data_pair[15]_i_1_n_0\,
D => data(4),
Q => \data_pair_reg_n_0_[12]\,
R => '0'
);
\data_pair_reg[13]\: unisim.vcomponents.FDRE
port map (
C => clk_x2,
CE => \data_pair[15]_i_1_n_0\,
D => data(5),
Q => \data_pair_reg_n_0_[13]\,
R => '0'
);
\data_pair_reg[14]\: unisim.vcomponents.FDRE
port map (
C => clk_x2,
CE => \data_pair[15]_i_1_n_0\,
D => data(6),
Q => \data_pair_reg_n_0_[14]\,
R => '0'
);
\data_pair_reg[15]\: unisim.vcomponents.FDRE
port map (
C => clk_x2,
CE => \data_pair[15]_i_1_n_0\,
D => data(7),
Q => \data_pair_reg_n_0_[15]\,
R => '0'
);
\data_pair_reg[1]\: unisim.vcomponents.FDRE
port map (
C => clk_x2,
CE => \data_pair[7]_i_1_n_0\,
D => data(1),
Q => \data_pair_reg_n_0_[1]\,
R => '0'
);
\data_pair_reg[2]\: unisim.vcomponents.FDRE
port map (
C => clk_x2,
CE => \data_pair[7]_i_1_n_0\,
D => data(2),
Q => \data_pair_reg_n_0_[2]\,
R => '0'
);
\data_pair_reg[3]\: unisim.vcomponents.FDRE
port map (
C => clk_x2,
CE => \data_pair[7]_i_1_n_0\,
D => data(3),
Q => \data_pair_reg_n_0_[3]\,
R => '0'
);
\data_pair_reg[4]\: unisim.vcomponents.FDRE
port map (
C => clk_x2,
CE => \data_pair[7]_i_1_n_0\,
D => data(4),
Q => \data_pair_reg_n_0_[4]\,
R => '0'
);
\data_pair_reg[5]\: unisim.vcomponents.FDRE
port map (
C => clk_x2,
CE => \data_pair[7]_i_1_n_0\,
D => data(5),
Q => \data_pair_reg_n_0_[5]\,
R => '0'
);
\data_pair_reg[6]\: unisim.vcomponents.FDRE
port map (
C => clk_x2,
CE => \data_pair[7]_i_1_n_0\,
D => data(6),
Q => \data_pair_reg_n_0_[6]\,
R => '0'
);
\data_pair_reg[7]\: unisim.vcomponents.FDRE
port map (
C => clk_x2,
CE => \data_pair[7]_i_1_n_0\,
D => data(7),
Q => \data_pair_reg_n_0_[7]\,
R => '0'
);
\data_pair_reg[8]\: unisim.vcomponents.FDRE
port map (
C => clk_x2,
CE => \data_pair[15]_i_1_n_0\,
D => data(0),
Q => \data_pair_reg_n_0_[8]\,
R => '0'
);
\data_pair_reg[9]\: unisim.vcomponents.FDRE
port map (
C => clk_x2,
CE => \data_pair[15]_i_1_n_0\,
D => data(1),
Q => \data_pair_reg_n_0_[9]\,
R => '0'
);
\rgb_reg[0]\: unisim.vcomponents.FDRE
port map (
C => rgb_regn_0_0,
CE => cycle,
D => \data_pair_reg_n_0_[0]\,
Q => rgb(0),
R => '0'
);
\rgb_reg[10]\: unisim.vcomponents.FDRE
port map (
C => rgb_regn_0_0,
CE => cycle,
D => \data_pair_reg_n_0_[10]\,
Q => rgb(10),
R => '0'
);
\rgb_reg[11]\: unisim.vcomponents.FDRE
port map (
C => rgb_regn_0_0,
CE => cycle,
D => \data_pair_reg_n_0_[11]\,
Q => rgb(11),
R => '0'
);
\rgb_reg[12]\: unisim.vcomponents.FDRE
port map (
C => rgb_regn_0_0,
CE => cycle,
D => \data_pair_reg_n_0_[12]\,
Q => rgb(12),
R => '0'
);
\rgb_reg[13]\: unisim.vcomponents.FDRE
port map (
C => rgb_regn_0_0,
CE => cycle,
D => \data_pair_reg_n_0_[13]\,
Q => rgb(13),
R => '0'
);
\rgb_reg[14]\: unisim.vcomponents.FDRE
port map (
C => rgb_regn_0_0,
CE => cycle,
D => \data_pair_reg_n_0_[14]\,
Q => rgb(14),
R => '0'
);
\rgb_reg[15]\: unisim.vcomponents.FDRE
port map (
C => rgb_regn_0_0,
CE => cycle,
D => \data_pair_reg_n_0_[15]\,
Q => rgb(15),
R => '0'
);
\rgb_reg[1]\: unisim.vcomponents.FDRE
port map (
C => rgb_regn_0_0,
CE => cycle,
D => \data_pair_reg_n_0_[1]\,
Q => rgb(1),
R => '0'
);
\rgb_reg[2]\: unisim.vcomponents.FDRE
port map (
C => rgb_regn_0_0,
CE => cycle,
D => \data_pair_reg_n_0_[2]\,
Q => rgb(2),
R => '0'
);
\rgb_reg[3]\: unisim.vcomponents.FDRE
port map (
C => rgb_regn_0_0,
CE => cycle,
D => \data_pair_reg_n_0_[3]\,
Q => rgb(3),
R => '0'
);
\rgb_reg[4]\: unisim.vcomponents.FDRE
port map (
C => rgb_regn_0_0,
CE => cycle,
D => \data_pair_reg_n_0_[4]\,
Q => rgb(4),
R => '0'
);
\rgb_reg[5]\: unisim.vcomponents.FDRE
port map (
C => rgb_regn_0_0,
CE => cycle,
D => \data_pair_reg_n_0_[5]\,
Q => rgb(5),
R => '0'
);
\rgb_reg[6]\: unisim.vcomponents.FDRE
port map (
C => rgb_regn_0_0,
CE => cycle,
D => \data_pair_reg_n_0_[6]\,
Q => rgb(6),
R => '0'
);
\rgb_reg[7]\: unisim.vcomponents.FDRE
port map (
C => rgb_regn_0_0,
CE => cycle,
D => \data_pair_reg_n_0_[7]\,
Q => rgb(7),
R => '0'
);
\rgb_reg[8]\: unisim.vcomponents.FDRE
port map (
C => rgb_regn_0_0,
CE => cycle,
D => \data_pair_reg_n_0_[8]\,
Q => rgb(8),
R => '0'
);
\rgb_reg[9]\: unisim.vcomponents.FDRE
port map (
C => rgb_regn_0_0,
CE => cycle,
D => \data_pair_reg_n_0_[9]\,
Q => rgb(9),
R => '0'
);
rgb_regi_0: unisim.vcomponents.LUT1
generic map(
INIT => X"1"
)
port map (
I0 => clk_x2,
O => rgb_regn_0_0
);
end STRUCTURE;
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
library UNISIM;
use UNISIM.VCOMPONENTS.ALL;
entity system_ov7670_vga_1_0 is
port (
clk_x2 : in STD_LOGIC;
active : in STD_LOGIC;
data : in STD_LOGIC_VECTOR ( 7 downto 0 );
rgb : out STD_LOGIC_VECTOR ( 15 downto 0 )
);
attribute NotValidForBitStream : boolean;
attribute NotValidForBitStream of system_ov7670_vga_1_0 : entity is true;
attribute CHECK_LICENSE_TYPE : string;
attribute CHECK_LICENSE_TYPE of system_ov7670_vga_1_0 : entity is "system_ov7670_vga_1_0,ov7670_vga,{}";
attribute downgradeipidentifiedwarnings : string;
attribute downgradeipidentifiedwarnings of system_ov7670_vga_1_0 : entity is "yes";
attribute x_core_info : string;
attribute x_core_info of system_ov7670_vga_1_0 : entity is "ov7670_vga,Vivado 2016.4";
end system_ov7670_vga_1_0;
architecture STRUCTURE of system_ov7670_vga_1_0 is
begin
U0: entity work.system_ov7670_vga_1_0_ov7670_vga
port map (
active => active,
clk_x2 => clk_x2,
data(7 downto 0) => data(7 downto 0),
rgb(15 downto 0) => rgb(15 downto 0)
);
end STRUCTURE;
|
------------------------------------------------------------------------------
-- This file is a part of the GRLIB VHDL IP LIBRARY
-- Copyright (C) 2003 - 2008, Gaisler Research
-- Copyright (C) 2008 - 2014, Aeroflex Gaisler
-- Copyright (C) 2015, Cobham Gaisler
--
-- This program is free software; you can redistribute it and/or modify
-- it under the terms of the GNU General Public License as published by
-- the Free Software Foundation; either version 2 of the License, or
-- (at your option) any later version.
--
-- This program is distributed in the hope that it will be useful,
-- but WITHOUT ANY WARRANTY; without even the implied warranty of
-- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-- GNU General Public License for more details.
--
-- You should have received a copy of the GNU General Public License
-- along with this program; if not, write to the Free Software
-- Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-----------------------------------------------------------------------------
-- Entity: bscanregs
-- File: bscanregs.vhd
-- Author: Magnus Hjorth - Aeroflex Gaisler
-- Description: JTAG boundary scan registers, single-ended IO
------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
library techmap;
use techmap.gencomp.all;
entity bscanregs is
generic (
tech: integer := 0;
nsigs: integer range 1 to 30 := 8;
dirmask: integer := 2#00000000#;
enable: integer range 0 to 1 := 1
);
port (
sigi: in std_logic_vector(nsigs-1 downto 0);
sigo: out std_logic_vector(nsigs-1 downto 0);
tck: in std_ulogic;
tckn:in std_ulogic;
tdi: in std_ulogic;
tdo: out std_ulogic;
bsshft: in std_ulogic;
bscapt: in std_ulogic;
bsupdi: in std_ulogic;
bsupdo: in std_ulogic;
bsdrive: in std_ulogic;
bshighz: in std_ulogic
);
end;
architecture hier of bscanregs is
signal itdi: std_logic_vector(nsigs downto 0);
begin
disgen: if enable=0 generate
sigo <= sigi;
itdi <= (others => '0');
tdo <= '0';
end generate;
engen: if enable /= 0 generate
g0: for x in 0 to nsigs-1 generate
irgen: if ((dirmask / (2**x)) mod 2)=0 generate
ireg: scanregi
generic map (tech)
port map (sigi(x),sigo(x),tck,tckn,itdi(x),itdi(x+1),bsshft,bscapt,bsupdi,bsdrive,bshighz);
end generate;
orgen: if ((dirmask / (2**x)) mod 2)/=0 generate
oreg: scanrego
generic map (tech)
port map (sigo(x),sigi(x),sigi(x),tck,tckn,itdi(x),itdi(x+1),bsshft,bscapt,bsupdo,bsdrive);
end generate;
end generate;
itdi(0) <= tdi;
tdo <= itdi(nsigs);
end generate;
end;
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2013"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
hiyxVv+1cLTVAcBqGEI0M/QVMwcoi7O3fFEoQ/JGHvx5CczBxSyM7p6atp7ewQDrCePHbnCQDVk0
L3qofn0m6Q==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
U4gTO9Ke4CzctwTrUJEcDgWNYNkCJ4JvJoGwQ8Tncif7Yh49fALLYG5jd233dmCu21NcRCmg1OqE
K/DYZhfAO1Vr8K2Ha4pcN90B6aAZwlQhxCN6RqgvuCRMvUsbmjaKWLTpAEWBogapz0bUAMl7xZ3Z
P8Ju1DrNIH39v1T+JkE=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
AmX3PGQtx8Ucs5sZmldiMEr0pEiBFFVg11Bs2nKW8hsZovJL/WMJ16509Eer4KR59Qi0xk/XM8DX
KBvShCvBmqdPCjW0vYBNeu7iviSvJSjQJdeWKkgwfjODXIQvWB7YNjqyQ8wVwGjdM/82GQ8b2U8n
JUgAR4eU3a1hbDDtuypo9O9jFTlFZsVyXJ9wZNbPSCI9jUKGxwI68pRcZl4cLaF30eGyWBT7E6JV
CITyXSuUqDKnH6P7D3N/9hPXjJtXfYDcsG9fvTwR5sZgMrdYTYJ7+HP1n39EfH0VYJIp6bSnzUbE
xhAJLo7ZK3PORFaRP6aq/FGpMdQw5S8vWs/X+g==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
pBQTQ+Yw+JRAr9k3C7cFf3gyPYLP6sXq1jGFY+672ZrEX3Y2eG6j0w03wiVk1r+yY/iRzuvaXqb/
a8/EDG7Lf9YY+XZT7svikUKx3aMkv7oODgivYwbNNJlUBU6R1xKFjyNXYsrph8oVXr25G/3oyCl1
Y2dVBs811KWCRGNTVKc=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
KVQMgpDUHrR6wierTeR0rkX+xbEcjXbzK4MeJ7w9SHvS29lBe+HYOkqAQ5SJIRx8xUFthDCTQgAE
/92daIxY3pJp0tM6G2y6/Yf0IFcNkuZUojvfTbo0CX6yuDq474qdMIvirE0eShHS/aZJ7a1089dz
SoM9uNCOAMPVyZaKq7bDHDW/d6YkFWnFhp6Qv4FrOZLeVeqW6yzHChT8JAWzW+wqWkl5Wp1jOCyk
sxRgz65kkssEzjvj0x4nf1H/dnyWbHXVpMKww1wyd9klDUj1BdyUG6YmrWbhfrge50A/6AzJGbeZ
jqPxkQrdbY7hhxRzchro2biCUi1Nu6haBTukEg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 37888)
`protect data_block
RZoo2UHV7wD5WqPnXLJfCasukYZ5vHDVvSB6HBbphmostqqJePaL5qVmxiZo5ObsVylgwtMR9OFg
ePbHY+zp5FfZ+eSRlfGPX4DDzmP4w9kKDLCYCooK7nV2UV97A9FkG7popY835OlhbU1GTflIkBZm
tBit7T7ji/MGavUGsb74btc5ijysN7AxMiEUjNb/9iAzCNdhXYYmgGfpI/Lapne/WuZEYH2Oczg2
CFE9txIu0OCWNAfrJfoTrriLjQ6izXK0mmAw88wOdVc880blp3H70HDFO9u87510r+S7kSdJF97k
XjWddJMujG+/nLtq0I9KvVb6MR/Wi+wNyyW0AtliiwrysqOE5GHE1kKWHdK9pav+aVJTy0kbOmtl
bH0m9oSpChpi1R/SaekHFxRBAffrZ5pCCwt29kz/DnoLYIXhFQDqXCn0aqapFOa69kpa2r7kp3Tq
KFx/dmFBQhi8mPX7RE658E5cmnKgF1EjUNAnrJeVdQIjsarQ58mQU3As0qzNSWTFSwjkxrmSGl71
srbHlm8a/gYmvMkRK+mp61WWGBDHi/mXyog1RDCzR5VHB836L4w+ySe5vvtZ7P4m5cRV95ZHP48h
H7M7cT0+WbsBlxtXamINoLw1cYU6HMMsEmSPuQ906e91gYHBoSaxeMugR/iB6CC2T3jaCx/bU3rE
jDfHRwwfpNmeaf+wYdCZ6f3MsyO0gcLJNRENYJfAYx5wY4ASAp+s7qgRr4vQkG29bRy6DejLGBgc
Tn3d2dWwtgX2QdYUay29W9PvHgf4NeKYakQthwl/8eVwtLw8Qv1tFzPI9Dj+ojmXB3tldaELVJce
yr0g1dyh/U+nEc6UJNY4Gba8wQKDlSLs0XYYkSQb3hsmgYrvvkjuduhLfBmNi/gQN5Ds/nW9cSOs
vIpvFXN5xdw+gDRqx2J8m0iqAdIiDdQt54oYPufepBa50+gPPgJhPB4VBHB3hxMIjtT5fIOUoIfS
kiJHYaolvvWD5YASwhOFwbCfpAtMgdkUlSlvXauNjkyHkU9HQ95xseaweihMz+n7aWSGId0D2Svq
i1k6vj8YEvr8jfMfS5QNaCVNyFnhOKA4RAhsAnAWe7PnKyuqBWnTcQKRqIeKPPDYqOOF8kvds4yG
yenbqOg/88DKIVGA+gZYBinDRIZm+bRHmvh90gp5grx+JbfiX0cp9GMSwi2iVDONPYkn+E/47Ru2
yQ1Ljlzd7fP6T8XnSnx7SAPe4H5g/bypM1Uuwfr4jIunSZXUt1+wzUfdIqfr3Matsm+s3rqFDTQ6
o+YExYm6JM/FUEUFUM6C1Oai0SYYfzQW22WMjaKjdElmiXqsFyu4uG7yowzzT+PXjsgjdX4IrRba
pZC7NULPkQG2UCSF7LS0nHp+xQMrvbJLIAS30Daokls7ydqNkWkseNxn0RPgQ1qNYiHGNJJKop20
YNTG4psxV8lkd4kmvkE5urHV+j+Q8CzT6eXvsNzjcVmDUiNfngom0PEHgyb0oWP7x2PRA3O7lrNg
CP0P/XHBOmi23gFV5jEaSUm8PWE9dooW0zXbBIrCXM5BvEOPxDzy7WpBHRqt1ezNekTvlI2/AFir
kz1qcdUigE2/9RjQpHhYn9IQuNnNJxHQ1ilUUYW02WQ8vt/0Q+ne737MXTSMKKY4dUNn4J/dX+lO
ZwY4+7qu9gVYDo2FH+TCg+uj1Ptpl8KPQ7d3G5X4+49KcL36AGKQnnNPqIZrssc3UYu1i088ji1A
H8o7+Z9PoVLjoyd2UcOW/WJEnheYi7oErxwKeLvsnl0LVbEs35ppsvRw+v/LcJ+He+epSKFr/ndz
wDZuFNE3i/LET3A3xaetSZaNNbH826LEmUrEOIIWBiTbrJbbtVpAd/2XfZtFCEe+vBK5fwtXTY9C
n8sbsOoiQF+aDy4hPKI9BYj9IcaEbk/xJdw3bELX8AAinL7yOJ1uoSCHKIUdyJ73euFEtyibwp6h
bM2jPbHb+b9MdZYEHp/mDyzwPKGZ/Ax/gbXE1jxnoY220OaBAZ2Erj3Jmn6hz/LNNyYeRqKRX4Cb
9lcCeGi/adJqKRPJ+rqUoso8dfzwc5QsqTvm/a+LAQwuaUbgKEH1G+DnnBjj59+RjJyJXeF/TbMk
8ovZ3n2VHK63UsasygFIib2M913IheqAWVvqKXXDQSxqHfw3qgYAZb95Cso60fcB4tr9emHr0FMl
J3zSs6h4oCWb8MWhitbj3wUqz2dpN1MN3FqwzYu0wCHtcB5Pd74bLVQntpAD5B/wRn/a9YFP6hHy
71pmyqL9U2W0y1GYUT4/uGYBkNcokn/FSqu9M/aroGPb3liRVl59iFdrBV5gtJp5jFwobU5aYxUM
Pj8K24BWrWC0UPzRfe06wECQMpkkVttzWzjCPKqxhBxHup/m4XJB2eiBzNxdxR5m7uwxcoD2OZCm
MinbJUYyoYRfyP1Cs2jClbIAX71UWsgB4NsnIPxcCPNnsq01p7GC/uuJjzLt6SEXgoVNCdPu/YK/
gQB0FrpsqCP6ELZL2ALzwbA+uoB6GZesEHAH7atfR8/PumMvs1ni570w/79/HHeO70x5WEVwe5kr
KYvBBBB0VyG9KRUoIwEFh4Ryw8xpCCVDKhBSk5d/uOyj/L/4sweu1nhJtP5eIOQDnu2wzxu0BWQh
ZjvzMluWlSlUxB7HA95CYN7QuNShnwHduQWjbx5s0mujfPEl51eHN4TnIYsNLm8QkVZ51u8XV0a+
juKCslesXPWHyaTMR0JkuqPXj+tw76QaiB18nXTP8EpB+t+6Hf1nnk2sOTFDqN9P9qHtTfQQFoLr
hITcHSecentZ372um10EzaIwdi/OICLBtFf6/OufpJzOlCOqauhKXGUEMPGT4iXM+X8oqwpuoOam
X3bQYnE3o/Kwac6SYKfSTW97T1DYLcU9UhbzymRik2FykUb3gC0rlWmXQ2dKHcVlI+nvxNiKFalH
MOd8FCsYCdAOwDKvywy3IbOfwGEn+l201V2a0bPNfimlVIJhIv5pZheG84KsJLL70a2FaY+mNrgX
mpYyGJR1vHRgLLxCdK8tGMDlZIcSHcwfuDekEKfpYhONM+v1MFd/o9LW08yO540/T86WM+f4xaAL
kIOcE9duUD4EWnTPJzwHbzlssFmo4yhxh4LA0fIaSzJ/v4Z0PCT+v1uscs0gAzlX+PQs0may5dMc
m0eT/oDoS73pVn4esidCKT3reqXfvBzV8QsJxrk3ls7g3Wx1eaGTR1HYuVZVPuMo3086CeqhWP34
dqN56K0EYfBkVuqT0R1peVINF30iBvG1ZUQBwyFwBPxqR0lD3BKzMbxShQfz3if5+OgjHEZoz2JX
Afzel212QMh9QaO4lzzqkIkVspNI9P6ztDxKtnyMIGQacp6cq2fCb7fXdeHaIhrhimMXzAPhz45c
RlWXnU7X9R99RZbFZg0ga6fuNT4Cs+OtxQ9aFIDNWlmN7sF7Vm+5EGWnKwCDoBy0tm0/38hBaZVb
SEqKETg5PticpTpdOa5CGwjIIw+E9AwHJBs4mG7YjBWkx9E80ekExrArokn8VjT43a7P9AhqP5FV
wh6RVHYiWPR/56Eaw9ovTroqn9py5/r05VM6Rpt8ZfQ+IoeASKnSKv9MNtXlvqN0eOl7xpOPBsTV
DV0WBsnlY0X8U2RFnrtZM1qSLkJLU+4gqBljff4TFgRolfGE+aNtjYwSGp80JVOTUTijXxe3matZ
6IAiV16LGOZRCSzO9oJdqyQLZ/IQcK4aiMOUFB7tKUt3xzXwcAX5/AfWC7bnnJbnqCYUlXlzFElk
pH73CnlHDBuzTLYWn5SbWkx5ARjzSTAV+WT6Sqt35ZsB4DBi9cQOM8bpAYp3DWQQiYloBykjTOps
tbEkSvq1X9EQpkUa2G8ysNODzoHoN7wAKhAvh9GXMSNuIgoumcFZj9A5Z02MnqaQgMCQoZ9Pa5gx
oqctdzK4zmqFQtVNrzUfdsO8rZiXWi6MEu+5fXWMh2KFZ9cFzwQsqA0TOwFxyoR/6SNd8GPMpsGx
8T+LqY+i897tptL8R5MO5FrV9n8C9b+mcu59fcagvc0Oc5xLW4pR3rzIrWn9EGQ0u4gfK8GUMczL
i1Vfl77x+ycwvpx0lC2UtNCsvAGCbSv46D+Z0wAaUuNqUwMtv+Mbayl1XFgTKy+7QdrUUF8eU0gJ
Uwm7MT9K446qT6Di+CIvCjhFU7lkIbU5XRGBJa/Bt3hEb8uyM0Rjt5vzvjbMahkWoyLYrvcwIsYw
7S70xU6WBkqEPo1mJg6zCXSpephuCP5OBflDeAa0ui8fKbmvf/gFumPAdJJxtpiI8EbVwu0eNlCX
HgP4eY6Zv4z6OUMk4BJbaiN5UtpFhwUzH4zo2mPuXi9pkKgVb4P6QJGZNSt5nnN2iVD0xfE+pWjr
T7gWCrOuhayXilY7YlllI2+NIBOox5PyaQe80IHxlGhpTee+w+6TiE5Z+qLjjLLRZ7QKNtg970BE
EOyS8LsSWvlqzr/RF1eS9/xJ3urKKNU2fON5fFiSmZehaMw3r52BM7HgEYYfcIuEz2Rq0xfzvZRa
rGPkKqMo8gytlNaQdI6+CjG4yb6uwQuPvA+S3aE5DQrR7wWaFgnWcffjDn1IgUDytqTpKTBbDokM
LsYSeGdBuMvelJZ8JH/PCxmDQXWjuUWJsqiNxLMAsKLATQoCoDxoNiXQu3sOlkGPyR+iR8gnXs9S
C5NDmiivF0VYR+hc2K38CNu5ghNrDUbz/4IJKSmAWrKOQuHzAPCwur53CKHfjG7ISuetNAyN2bxE
5mqeZOOAKsz7v+MzncyGj7DJcYArN3cO7F0Ln+zhC8FGnzG3sOYPKc1G9NlDhB0Rcln22CDis3vU
cKsM6ajbt9d/vHUNAMWQJjY0rUD1ac7kzSCnxmK1pTh+jbfTYc5eNKX2xmOuDP4F/XE/5lMzr+TJ
NpTO3dzny0E+Tp78uu2BFJC61ykVfivXCCH2Il9u+RlbFRcnaZ8YurQMa6eNz+Dg9ub6gWBkPPnS
7e7StlYwgmmbLd0CLlHliAjI+oeIv4bqVoxdhEGvyFsggHyRFI0iSBc9UZTdxKjEx9fK+jJGs0kB
+9LzDm8BRAehz2EKSIMGwPvhxQJzwll2R8H+T3MuerJ6eoU6Q1Z+lXA0Tc8gbgl1ByooN3j8l0Rw
avEV1I0+5fQsrNcRYFlz+5C9x/w3O+pZQqiK9Ep9sYNsq26eASwgwFWeqSyJXG3htQpxYTG+14x3
VAGMuxnuq8h1xgr3IIqu78P2mUrtt94xNFT4wO/5cco2IzCPnSE/X89Qa9B8WzAV9YavHIco4fqt
Sy9sSDTXlyfPKrBmJJddgtoDuIf974YzJzqAzRPueApm1UhU+IGfxVkDG6Pv5kJKixFai9YBUo3/
SVntmwuIrfNCyXE+paInEqJvAX4DNgDQiyR1Z93CGifrHlmXFhx2PftSmXzSII5gElS/SPxyk6ko
HHuODiTedY6wrL75esMbOVD2TLiiuahHILT1314jghb8GLslukpfk8K1gjWm1bpRflim540gb6te
TI+ZiFo3RBiGkPMcKbS/MsuZKaZD0/m2bwYvbAmbNzRMs3NX53IuFlMJT2UYtYeRcFyiyyi/zDyl
yO65d1YbdrWGhI8VIn6Zu9e/MXeQAKZzo4GL1znUWdqtmsCcgh02SslgOb3psiDgbpHq2IUF7SYm
RkIYF2N5Jf98rCdQriy0LBHcLir1s/IANRaXSpVZCEocMNjnHcJ/A44ZTswhPo44/bPyKLpcjOqo
uONhY4RrkGc/ZUripD8q6YPrclCuHqM+bm+JgUmVB/oZQ3yaze62GqYWvrGwWszLyxUp3BB4zuD8
6gPGvBLXBO1vBMhrhZmNZOtfAZLCJyFdpAlnYv22UevE8gZbbrFaAD9XJLvYQyt+dPOK2M1lixwj
LsvNF2kPj76+QtfqDIXh6HqGJkl1OdBSqdX/KwCOBssD9Q+Nfrz1EcEckrvZMKL5H2fQoLxPA+ti
0o1SGppY0eHYB9SSpLwr3FK94qaz5eudH5AntzxjuUNWeOFBhPTHxnXx0eR9+yH6XSySAM+latUh
Yx5jVm9YQQU8Obj3ZVrOMewIrgj6espclTK8FNfnnVRCAglthFBQK7OT/T6ehV9XgH7RNqsovIly
oXnCjE0xXlrRFytBmrg9dCdRZ6c4j0TZQ2tcBKtYBWESucnEtM7KxmO9ZTkaXMkb2C3KWxo5ot+t
pVUdoYyTwcg5VB4fadpo2HtH1q9t4F4rembVmoFY+0yUfNli3MaTStM6TmhA+ER3ivQ/7agE7qWX
oNo66yuBmdXTxVVEVCeE6VYCh0n71QWeZ15Vf+717y6hD0x2QFNRt+rX6pD0LNCR36JV2SBo5ILq
dl8syCjaN8YYCWc/s6sIQu++tXnHcs2ZWgNxZhEd4xxc2UZp16dKdwo1y5d1ykHQO3y3sNZfQqPh
MYa3Yx+zdOeQs4rXR/1uMO6bOqyqgWBY532UW/TVbDunRDzM95EHJa/xRrYFfyY3otRrInxeiKNa
T3sEffmY57hLkfGq7RNzZBiPoS1BRhCrjJsNLWBicRYe9oo23EySvhBIzhBLz0i3eFlShzjQPgkD
pe9hSJsbbF46A9z9E6oWO44yzy8FXORFvP8Ngl2Kf1qqYel63np9b8ZBZdcZP9/ZL9vxi3nFBdxe
pVa2uI3VuaJDv596ngZAsJJr3ZCr13O97JWWjn8Uj0JMLCcc1v3APPBWS+EDn0uYoTQGUTfXufwo
UCuZEsbL7h91jGCguiU3Jkj5r4xkGd7/NJnd0P+mGMFXcEzpi+FnuJKRV8uuf3AP1wa/Aw3goi9s
MnDzz0+y3OqOThrkdou5yuabz2JszmrvEEKonoZ50AY1DuaHfYcortzlpTgF7H/7td2e/t2AlrFz
RyUacnlyM9470UhUhEHcP3IO3UKY4tpsfMUlZKbu+VOvl8NVGyUmQdmd7iwnZhiZgvPmWqaqi21R
LotV5irT1XTrMuRHWH4ONU7eESZYeYuGR26j+cO8d5f4oCsrgFOdWtF1MFt0Qkur0zAj2CWRkqUN
4JwTSztQq6aq1vg/40/glRO5cYs1Vb6URD2tATrJWpdevYJJ9arNzvMxQTmZk81DcUWWZgBniJS2
DeAbGfef5HpAUDaEN2Qu+hAeKDQ0kFXBgBmUAa61FDph2G0hz74R9SLssr9S5JTBm9I1+6O1vR3T
meWTK9lQME/z6w+cwFcqrHI9LMmaxGXgRDo1k1cJTc/sgznMHqPzm36R1SDVg5exXlIn7Y5xpF25
fYBrq1sdS0qrjh2s+iuBfPyoLFKx8wKViv97Qu8sq6stHNXQOOmCsY8wcPv1p8XPO7X7zT9B1ufN
FdVmt9yHqeUmFsBNfSVyTKKOASAC4mOsnlRhtxrJ2raF/5Sl2kUGTNPUZyaid0rgm//YMuEioq8l
WUg+WnQKGyUaUWJ4m4LTU4q2xBj1PSdQoNFfaXGV2FXPU36Mp1YPt30VrdqKAeZk1dxVaN11lVBj
OASHfrVfA3jlVnXcSLNqvumiMRnNzuDLUlpaQb01YBxwaM9lFlAX3HKJDy/ZPb2P2dAC4ah5JZJ0
iG8YSlQiBg3YAQ4bJnR5EMj7QAtvmrYFiV0bUBAjAp+kLE0NYC4yFOAguh9ZZq3VNEE4wHyHjEZ7
AiDKI5kd73V4h061LYKxQyjSp5R33QMFb6bjcbUXWO1AimbFa6PGFGzGwEOSzNtiH4ew73V5SHuv
jqo4Z5+sfswvV3DnhH/n1vzgH8ntYMAu4Ct2f67nkUYbbmjlB73ktRFJxlVJiKfCwF3Oh4h+nNbR
ZPn/t6kbaGvR6EAkPtA4olH8QC3ub1QJfY6uCvrSIbPJvBNaeHB9raobXtjhidZe8Ie0ZCS83ebT
GkQSfthimbmuVolR8h+XGiiTLoyroS8Tb6pTcwl/WICP+9RYoG1ZtFdmcMKi/CnJ+cxghGVuQspQ
4XENLlbZ4sdd8M1vMsMqLkXtDmCPUiPY1TAOHWz3xkGT9B4VrkRNH2Frh5T+PwkG2lZBx8ztirbR
4WBqcW9y3fMyZyYHbPwSpI5dluBSn3peOvMm2qOOvqxpOWcYqIH8uC7lVQzeDZ0qqE4sqdECmRFX
mk6xYqxgB3CigZUWAdj1AdmqxnohCn0ZhDuZM5ZADStzbvCe4yCHgw4NXJ6Mue46Zkxf729clfx7
oGnF6960bIf8elOBhhwO3rOpFZxy083WHkuaeWVpH1jdJd2akf3752CnJmLVO0WX4KW1v9eFdlea
ebz/3r6O9DTKixZQjfvvBIdOuOfCG3JXzLhywsZU7QD87dctcG5FuHV7VO7W4KIUM2ftFVuTheke
WHo8l0Gx674iuBcbpQMYwJ4Me3q9VmGhYdlh2FqRaEH8jcTGNqDqi2B1O2Rn2ENWrt+AEBjYu71X
V31Xdumb3/v9teUukaH68CZPpHicIUzCz9dUnhpihE10VTGPs3omE7EOQ49pp6ldkRkn/ET4hSop
qMUIGJ3kx5zrQ3mhRVtbX3HsYWm0xCNqygCEi1IOj/W/cVvF3VmjR/iZBEjo22q+WzjX62jQFgSQ
6ap0lkN3+ywLLp5Hc8xkrAPGUJr5/NweUD3rdQF0SHqe1XtuOuoxhYzzi0+i0YWj+2o2FxspaeSW
CyrZu5BtDT7jd5mLnO52Zd0uVX8vjU7v6zAU2s6CwS8ejuMvxlZMHzCgVLTlAkzQs5+rTepM9Jyf
cxAwlBVECPlK5zQst4q70/BHkuO1ReXH2XvmgqQoTFH8Q4+BkHsoLb7qQEFuOKWINYMdqyhwON5U
EicuBUGAMzqWWHKXpV2sCirh0X8QkE1FgVrLTyft0CAlzJLSGJ1fInINDMs9xvqH+qOv7bHvIoNh
74DGtmORilHY2ChNH1N/j/CzUgpkP1jjllFr4MEGgauAV2dKxCYYGF5FWutJC4Po4uGfHOHdCdI5
zgLDCAhTGpc9fK6QcjfXnevSalAEHnmO7ot6vafBOmBa2DCmeWyy3IohdZyQN80lGl2JWt8gucKh
TB5+ioK94miiFiX0w1b8ndCn3TOYQqCTQewkE5sIUHDadTJIibyAurGqI6rdM4L/vqjC4ychXSK5
A/d1rSbQgkJHbMwXoeWqEG+Epy4EKS8MynewDuHNWHChxd9VNvwNjxbszisTaj5R3/zZTp8783no
RkrM3eEFqhRjKjjtil3A8teAGMdVUgdlPcbaL1hJni9yVrFxEcA/NKWFnwycg2TKmnUuCkJ0m1/P
RjzkmzS461k3/s64908ZMQXuyNJvIqsu4o50tgeEc+R8OhtK2lRZmROqF/5NpgRG26PrYfmYyfx7
N81CREvj1XA5uUbZkzBj/o2TUrhmQ6eH3ElsH1fToOnTk7kVQh+oJ+e9sClyqmnPhjsLtVfySMKD
Zr1o3/9d1I+MteaUpcX+u9lFeG0XyuA2/ghD57jVbP5Z98uRvdtjmbKAm6F31vgESqW4qL/E2ahV
VvbOgdg8cUoAkiKZYbJVxs2CdAxuse9J5bkNP34H5Re1c4/xHkT1dMJmnfHVrhpZM43OvLUdUM+4
o+mY9kmNcZ4aLrfbiaNPMuLBBPA+l+YV/Gdl0TCq2uG2+2j+BVBm1Q43+mJIJlxG7i+kTdfl6EdC
3cBwh3sFGx74FGtxqOx2FQGNnMje2t/hPPcnVj4u/umkV0xorqaYBoNMgZ9o05EdSWX8StIztU3E
AVc7rmH57i1MUk4oUFDXkLyUcj0JldA0l/c/iJi+aFK6ZsYLuXZrSk5VDmYQ72zu2GDl5ZHdS0sz
3xaIYnDYTNXoT1ZR4cfbaTzwupji/XngIHRbA4j9u0+qDZojWKIu0feCzzhRSj0IBvW9JceBI0ey
QFLgSZU2MHp2576lNKI2sRASEUsdgbKKjqF0QFhTqj+ZmoJXVdn+KeTafGugcqgYyQTTKf0HgrHH
Qx/bsChWnsYe0pwJhAXHRa4NOzh8MsHYJlUns1Wj0KHG9ssS1VGgwTxyzpD2caRAUFzZvcCqqNd8
3i0h23nZYYdJPgnDcmZoC3GacO4L776kYCuHNlwVcqgMoUHk5EIILoqgn3LJGJI+PNTkuAoEcaaC
+j2lo81KtzmmbI4sKZyxipfzmwouTCLLWBO6JDi5KCkvD6FOXqufds0A1RU2k4hkArKy9G7JWBmU
zPxxkbApPVvJ2IvE4atJH9oFgRTOAj2EnWMmcn2dIZ7FcJp0vIKFW4CZxJrvT5u3BH307rmFlfer
kulEqS74VkrP0BD4jM6qB9KcDUh1nq+zicDgYLgbWLOlxYyaPfMaEVlxGrvFsct+Ohrrg4Lsle/i
/2Qmis1WN2RSk4obTqlfz5kGeky2wedfAIgQkT8FMRhiwjP5BgZeSMxgee2ofUYBeDYJfmw5JekL
9Pti9swwGUg6ghBXp9zPyLCZPh1njYGXkd3xeLZk87YRkS3HiOHZrc3FTia8JibIJZQvfruZSVts
4iq4++AgiRV/Y9WgxbYgjpaaGy4bS7h/VslcmSEa6HHWIO60ji37v0z8ywyCdqkFdpPvEWdTCSe8
elh/5HaWd1cg0rVHbwN8tsbLhmL45S/HeMLy++Qe0hcqcQD3B4paqH69JvYjucwvjgUQ/SGDvQl5
5etiYPotWlxf9dFbv8P5BubbD2+AcIPDsTdebfqsWHEthEXU0yDKwOYpjnBc92zWH0H04TBf15n/
88+4eKp2pnAeagdx51F+yPxUxnZvoiZnWCbHyR5V5hFuHseRi078wzDeeUUpyWcr0oPtY+VP2Or8
690xl14R/uJ2/KYUddEYxN7ulyF/+1ovBfsHswhMBXdcxspQ4/RIPpxEp8AsvRaFnWdOCeUibHBF
R0opX8WTAbJRmvbHK8X3t9DJXcAUhynAyxeXctytlVr33V3hjzrJbUV3bYLJHaZZW+DhIQTVEo3D
qnWdCB15H3MrLZPhszt3tmSclzUUkERzKLMrQuKGMMdmUheBa4il3t7Qn0CbXIfRzcyZR+4JSI1N
H8f0lZWMAgXX8dFWFdwVzg4Bmc5+OSUgDQtPZcfwC65Iw0XDkw8FmvS8v6K+ouQI2zIiCO7/NpO+
VxEmLnAcbd0DLETVa8dh4g2FDN4RWGss8Zw9i++N9abIgDqoTaezf04KsUjWUZJRz4H6tTLDNQB5
WA/qE4RMa1ldWl2+ula5mWqn1J+mmCRRUCI7dmOVkKjsQmxVuwI43oq6ggYwjbbbpiBc+l58totL
dWgUoK+PKmOoRdQDrxo4dfsqXq4fKlDsQAblVYVf1GlSh/BaIC0yAKv65Vf8yKYPv3MXjrlEgbze
/y4yfb8Aqbc7V/Kz+Jc0s24M2/0zm8IvBuu0Fwo8/23BZ7qujbUwetzonLLCQ7tqS9MMoRLaT7gb
I87H3S+lZgZ+6dpZyqE98gNJoHdfRGYLKYSEUQaKq7oG3P3yhx7yxJV9hMNq75eWv+ZwWB8arfHI
hRwQgwm3mxRQ3Z47xY3oHKpYEU4PysGhoskf/apYRzrUCJxv9h2Yxq/TsR3nCKWF9Kc2MmQ+DBqD
whX6+L+LDrTd9a5qsyyQxyNDIoDx2ZjXOArqoFOIrTepwGOG/3QAQ3ccZEkdfWTw5GByIJ3DjAJ3
HctQ+4YjhWOHstdhMVj/PABtFF4LMkprWS9FFQN4jFIKEl+4bu+ctM6CQ1ZxDSjiAadDh0xG3tnQ
UFYjdxbBavz79xk+/uOoqajP7Vw9FZO/HZhsQuCUxwRb2M9b1/MBYJ4+Z2UTlzOHgrLnU0PaJasR
IaN9hiPenJdubEw0iBa7gK8jpFoH/tUvF9IUjJsrN7g8tE0tmlSp5CbRa0TzOtObDFhQkuSheVGQ
9f2nM4+NDRIp+F3O2R2AJWZRAJG9AZfJFGZD3eD8twhTU768WsTWt8WwLMoHj/ZuC6RvPy7BoiN5
P3qdHXwBbkCZHOTjxLpFoniDckW9Ztgxdzlgqt6Kgus1bErruX9AOcX6I5MlDqO2TeH46dfTUgrb
HCrybjprEFqViX3fq3m+S8n3i3+IWsRaxXdWOZLBXZ5dnl05AQR0woQ2xFnLWIH/cPjNGTDd0Ge7
0I/FE51zzlnliJCuE0I7n7narcr0jpAnrwOHQPMguhUfNK4vz0lzcqshgbe8RNFC3NCTM3IDluGM
7sfsS887libv9atqF1GXc5lE7bLEykcMs90+2utLazEcegvYmcMsfWTA5oCKjJkvQ7H3bFyJB1Zb
qPyn60MXb6NuDmC3Y3ENK2zXavUONWh2leo3otDGqcD8KJtkBR+7TRI7oJlu6ufJ8RjiYtSt7K+y
Bi7J08ZuccPVn7w/H4DTE/bo2Zz+B+9CV/GRD9zV1dXICEK7219FfiymwaFjB9JC0Nf6Bs6qcG5h
XfSj9ncgcPRogsw+D++VAdinggEwbwTNAIjlGwkqUIPHfXa+GnTxON1px3MmMHVf40E1jPJgyZL4
Jw87jqsDggwPy+H8ohcSaNp+zxfCUt9sO2axKJ4IyqAiAzyc+EtnzJ7ojOPkcp2jHTp64okPm7k/
GHPuykJJyFzbGjuUTvFyG/zwfjXf6u/QuCZkAmtbiXm0Qlo25cyqZi0G8Paf61hozFQY9VpUnC1m
V7BDP+yQtiJ9013Pj+8646vu1B7wwotGeH+c7TsyfEFoRGgp3ZoDkDr3xKhkIoRbP60ZCrq3Cv0y
HxFVXfESEFquUphekFdX0uJNUiJcWEI/RN70891iDXMu2J3E5zf0JstCDe0jTFOfQZGfsq4hajA8
UOoP1j/bPbBHMTAyrjMymxeS3TRbTcCnzzYdcp0Wn6IDHz1HE1wzmkkSJTHz4QgyPrdrVjDeTZKB
dmBNz5rE0Ga7A4je5JqosTQJlL8uW7qubSCuYC4V1YfV3WTCYuN23f7Zda0RHoUMzZiB6jH9sLE5
xJIuzxTKn7sr8Ik3YSfh5GCRzmlYLqlcxB9QONuhY5zfl/mnU1kzzONnzLpBP8YgQ/FF9MXPX5mq
rMYuXy+9UuLlss8HidjXld2+vxeuNqGk2ylnvLQcvlkCs3muvaqwBvm0PRUq76LNW1Sbm0KcNi/S
7uGRNqFD/VB7Nhn2i7y8/A4qjE4bYoUgio/mzfGyDdj+IawiU+Ys7uusTln65Np+Op9dDWPUdwqt
S9HH/um7CDdsIYhjOOnSHDhGaZaACSQXrThyqUaryPE1hTbqGTKwjfaZ95XjT8UomIF0cs6bDf4o
Ap7qJsQ9cCw6llXRzN8v8BONE/4EwPCOlFBiK7qTH2KoyR9aIdZ7MGttLe4dc1mIB+wVpPBKiHbT
hZWWzeTowUJqwyxr4F3y9WIBF22LdfvvtwrvB7SKxCzkMN1qrU7VMY440/P4JL53AeuKOWSKJvSJ
GQzMwsuA4i9NzU9HU+lQYToudB18YVRMJhNcvM66Zi4ro/bowXhxNfStuBNWTGXUh8OX+IAj4E4G
idXjq6YjNVNEl5TCv+95DayqEAw1PuLWMKkKCu69VINScmvFGqaXN32SPOzsWe873El0xShS0nju
l+zBTUXSLjtc19okJ9VPu2P0544sVpV2Xgm6NuDaYGjk82g+b8CJFMq6aRokC0zDVzKBGHVOI3e9
9vWbht1G1PgDB9gfRHiUZHrD1RUt4leosFtYM5wyLfbRxxwz56N6dv+2zymXMf5VmoSCQtaNZJst
vFEmy2R9V+aY1aD1YSq7FRWRG4+37RceBM2GFncy6qVldF2vHCWKOLMY5V6JX0VSeidAwyv/0uoW
AuXXoihdoOIEt+3VnHE3ZYuIFqASgBPgimyCjM/VaPXMVID4lUJ0w/YcUhHZyRFUBnLG72vIe+in
Um/hE8Nqvns5WxceY60ymZqJ6Sim2BZJ7Qz98bs1ss3fZnsAoBHey1jMFRNu0q+mRn68GWwHvfzR
QDvv5+Cyv+3i2RzP5RviE3QN4osmqMdvri7c3PRJ78yCzaojwY82pt7AdYYy2u1r4mC5m/VPepQa
e/Vq9sDNmqqGfPXSk9yFo44E+9gmg9Zvms9Or6WQojwmR4UDGk5g+Foun9xDUoYBOGlWF6fq/u+H
BLc5TktAcF8KTztPF4kYM6h6moXvFiWIok7ssjagWqy8g3itWu/WwjQ6z8+5WH5EcdKT1mrrzX+x
z1L++GGCrJwWGbfrNeh/FUF+JqeH7u1ad5W+Sm/ipy+DvHnLAr2WdBqEAEP7ssC/1Z2Y6rrcfBKj
A5LPGmn3val2lQzZCPiSyojflu99kiAMDnDTKoUVHp5Gy6Wl+N8+dsLmzFC7JqRqb48xntVdODjz
05ej8g320PhIwXAPcO83ZchAbZMbEdQ8YOslgVewH4l+ciI3ZOF+4ssiQOCd07mTP02r8ClHgWGB
s7bxRPhaLiu7ps55r5TrJBH/E8SokhQWKt8GDgiJ02Qa61Hj2DMoTx35dvwBadIBR2VAoN94kQUH
Zbf6fe4Ki1oIedwPrbz4N9X7lOwdH+XG3/n0sJROQs3JXrRygs1yzk3RvlE0F9F6woF/PTaiO6JP
3tH93S2JzPQ0w0PIpv1DRkeDsG2BLdFxknIy8NT72p5PRjGp9/NAhwT1WRw75wVAN/PuGrV/B4e4
F/kIORgEfmXPEJSHlBiF2akoyC6TanVEEfN1sNEop+T33G+cF4ayg515ylTnTC1FA8b9ZV35880x
5nZO0n3hsnVwt01pt2npiDZk/COtqeJgZ/4F911ncA8A2cYzgi4TnB1gXe+7znuhbMG13pO1k1EC
qox2U1IGKNmXTKyu+ScW1+K28nlaU1f70v3+vD/WtaxOgMnwffx9KoxB8nh3CWR2lDQaHC67EdZw
G/BwqByRoMWMpRgkFfXagofNqR6Sg9HpIqoFTmF6YoZ/PlNHQ2DwrO5m4/1rvkg/6C35HW6gEGE+
Fa+gj5mIg/LJ6Ic0uqaYWRQXgVXJnHIV2vy1DvU7VNXrbfSeuEMrwsI6upgWGUuWIzqTioqEB3pH
UAboQT7OzFtzqHVe9N7Sph1gze1CyOAq9NrSXrnnCrTaTDaZwpy2+7PRt+Ryq9h875RNgf1jvPNw
iJplYBjRH8SMuvBlKsJeCa8GVeiVnoOifiB2X1kOWVYltAvCO+H0Bgi4sJWEXcZPh2+gRggxvdVj
XLhLMrn7UAdEQlJBz0Ddef1GV4ybIxBFdsYNLQJ+DIEaqqXRfz8rPtqKu+Sp68oBdxb8obuU+DtH
YTwlVO8eQnKtc5sdupzVsJJVzOgU4Uu/bNoY3Ld4ZsvJmpYt/KQXgOoVFpzZCMhDc/xsYMhHD2aH
qs/ayQdO1AcVZNe9xM+MgXAg19FvCNTRb9vvBXeRsxEM4iQjJ2xNqk7v1tXLjl3r6Tz4sZ3+eqi/
70T/mGABiL2WwNCsmyWtxcNoGBGgw0KZNCraeKwJa4/gLU83mxAZdr5A0+RHkWJcfeN/t2AAXOSV
8aF8hL0tngKunS8/KGeIXlECFAmQvkP216oYCvEp7VoYzRgF11ovPLVGgyN2EhycwHtQptIdgxnQ
EA/VkAV3hJ0Uxmw7ua2Nd2hIngtI54FOWiV7VbqTfWmxX3IxlPrz5tY48zdqnpx51z/6ri3FPuv8
02wS0GlbzwoUKx/yfEor2hJWm2XFBV4NsP6YdFJnaEPjZOeRz3eO6Ulko+2+Q5bju+lkF4M3LAUG
XNS1xzxCEz4UC5MJrv2Tsm+LQh40YicgdxO91gOk8okPDb32T6PmUUn3dBhx4zZrEnKwkgbv3AL1
BbiAGQ4KoFwaBZwKpGSEqJ1cT9WLc7yHcmaR9pRT0jbPm2oH6h6bkmEO/jX2YFW1N+XlUDxZAfCh
efi/hIAdt4LcRMjR6RZBj4Ef1OMmOybr87I8frM7e7ckyDeIM9DA8B3c1jTCLkrr4NNjMoiuCr3a
xh6tObaQY5NJEjlCGrmtm7FM5jzSuNX8vo00MMfCwkBvJxf/uZxLmzQcP9aPmZo5Quf1XMo3cm44
VU0IkhV1gH2sLDD81u3xTnCcfvaFEG1fM5BPE5pf2zYTdkHb7eCc6vkUMvFhS0nD1n5kF3hR84dV
8pN5HOW41wiK+9NorFA62W+JDct0raRirM8+vaIN/b2nIe3ZttRCb0luvJlGF17safrdVC5NgZPw
WeC9CN53RCAT2PJMWYaEhDIqfL3sSMn1fR+k/ax8edJBKcwcNl4K0QCvoA1HMImVlsKCcbY51pEG
CS42qJ1JfVPXJ96ECIq8uRaGzNoN1CBNwMcdwufDhbXmk/zF6On0/rAlRbcjFArH7uw597Zj5qBO
ArQib7Z1pd9pvlUDlPgO+hQjPTnqO5dWJdJBFVpu6Xcuyabf9rrRPE8AiGQ9BR/5pWS4xvhJmSQg
GKgq1R2LhiTDEUaASGdPhu4tox7B+KRnNEwGESMJdQVUom9kBBmKbwdSVpUZObWJbtyLdXFpAWvD
2l6NI7e8L05yfw2uQCgRa/G5yuxGBZjX92A3f33rsC2BMgZIA1vrIl3kfE5ChuNjbj8FxCGLzqlU
RGjUdHBoEwO5xwcUp78nKzQgUux0AGAJckjnUjv449B1/uaFJzTke8pRpTF3OYTVlGXy3Vsw/3cQ
LRaarfxWCUM3SsRnUPjdsWlSqy/VQ/HIBpRoIC2LQeFa7CvBsPHCbEHMudjrySnX4hAj7wn84PZM
t0j011KbkEkIiG2h7PN2PVD6neOgi/sMDSsCP4dKNiHECcsPXm24iIA4lXMwJrTvB+O4d0WSPSEj
4oIeDG93RrFTFeHh3TR7TwydWWoI+wSAjbIRGf3G1OPULL3vX/OeNLRTpREFvXv0zHZ9wTSdhlKi
dvaNsLvLtMaDayWwo774mu0G+xITI8jMw3DwEb9A9fg5ozNdTx+TTzbRFipKc9JI9bhQuhx9688B
nZpH368Ji8U5uaBAax2/P2nVXH3OA3/nfR4dU6al7W+1cmjnEvP7BeTMk/kfpNxQGr7WginZKv9f
1BIE/xqKyUbg5GK/AG34zfOSGrgDEXdzVSYQt3OLBVT5YOaVTHFtEzUZlbrPGjBLHQyxQ5xMm/Rj
+xtJvfDOtKf10osxcBYbFP4BtBka5BZWCcckqpFs0aBZbc4Qlb6nauJfZKYYtsSJ6wRsesZ4SIoH
r9nhfLem8kaS52IhIe2e4KzYCMVy02a7lJlC7PTWTQZx/tD0v9BzkTlLdfX6N7HttoyJrzmgLAwf
1KX0umQtzKCSMnT2kX9CFcINvGlgOjEzH3mdIOi5UPntpW6jYxgaN4nWvMsTHe0zVxS4PWYOg/RX
hMR4h2EB+Uqx+kn6U/me10pSJHeqibVZPJtrY1fUbzjXdPRQAS6GobK6/kzCskBCYVLyVtgVRU6Z
fptNKPaVHZ6KHyvpOnhTLcK1K0eZFRRazpjBxu2vmYKiV8EkYY+dF1FYaodSsaaUVK3uUD2+Bz0C
1AJici+tNwG+UiUC62h5PMCzCjK0DTjsP3mia+jknv+YWTAdtph3iy2FJIMFG3lZk/hb5VA82rYI
vpEGPgeLPdjuhyvX106Q7Cv/yKFgy11akf2fazEw22O/CAlROIk2F4O87bfb6JfXUaqAcxogrB57
20n9Hsb4Sn4G/yWzsxZkMd6bSGKINWwxMo1mctwTaJ4EdwuMlfQXWJbrEH+u4Ef39giMCfptnR8U
lwvatXJO46xFrMy9wI13Qt+7kaIRyx15c34xdPLKxLc3QoXN5HXNeCxo89EohRQH1j9+XlO7FjWS
K9WBfnyMc9buTw51pC8ZnDkY3SAN12gVHexGYlX4a7cEHb0Y0EIqGhedVHs+ZD5HGOLF/Y2OSbH0
zojSNsqJjGKc7TCR17gqNkSoA35ohFnl8kaavI/lV2qdnjJURl/0ps2dlnMneP7oLB+PPKjRBDCZ
g4rsYaK8ixdtOhRoIJIldejSpLFY/VK98uZF+e2BxnNE6DrkTBc8mEeSTIRTVs6W4QjNjfy1IBEm
+VqT2cIglq9IWvg4OslYcrtoO22iUanuFz+3+KS3QhEiy7smx3fv+RnnVKnGYM0RoFdx2GpnHhAd
aeNXT4TkStjIrksLBRFqTXLbq/yH5WXfvD45AyckwqaIFMOtKSn4SKNjjlbNgso1CPmeDKr2V7AD
MV1k9O97ybw8oRDFMrpWkvSdyAgSWTvrKsif7hiNaTjMzrSO9jlTlgpvSab0hcCvqUyn400lX1ch
P9mYETgtwlE+DdcRGwR02o7P8KHgASi+GR7uKv/KMztPt9YVu+RZl8NJ+PQFTorsRaA8u6Q1Uh9F
YymvMe24vTiFMsHTTApTdykSbDQ2Q97bYIncP8DilVkd785YrD/FuibUT1/un1tDIC7m92RFncUx
DmsOMByLWJ7xQvGxoKhhQQaluX5CEb8rKLB/UI4xnphRBdB4YQB7N7muVsBvDQO+NnAjGVT/ECos
wcZ3JoKz04olE4UcvwZ28QdLbp31KXlIt/0Mh+h+KyNrzBXUSoGRHrSgA6Vijwfwf6jGltOk09+z
W4l0yVfpXgMJ36FumjSCobm23HbSbdkeM+DJqCewOw1O9qYtLeL+6zaBBiIIw3M01NiWfanScU+4
FucBDNqe3T1AhzpSlOrEDabHrKh3X+hkBsDxoWen+wnYxkrotC/BBZ35dZcZtw3rlRbEJO0Y2gTx
1oXiK4rmGYgIepN/DLdYFsE6DPvBkZ3IDJ+jEo2S+jlCvcBB0tdiAiUZBpUzeV+67Z/702o49OOa
a2avinvEjXYHa2Ez+eLQB1i8tKMpenZuTy102eMan6fZIkjd5azI38G31svSgWmIITNC3NhfHRux
lYo7v2jvLFS3UrFZUaqusVxirPhn09GNJ5V8KsU0mT5g47msIQXDSMIb1PmbWtCbLE1bkrmzbkQF
brXlt+7gQpGPuVAcLE/g3nHlCsR8palhKza8A/9fmtXvAuoichmbUhdKXPm9hxqAotOluXuWCrxj
9Tg0AAQQQLvtMw+SXHH+AZkhLlX2aJhAFORuTlscp/3x3uWK4fWl9Z0gUyuwWyZwO5Uisb6mh+W/
nFErgFQdUFYUhL/Y58VPypcjMuxUdcRZW6ERFBoFwaV/1yq9kz8SLIy0CoVDU59F7GJwyV75eeHE
8S+2PT5RnAJeswnyk+ZLExm5qHmbGepDYloXuG5LBQJG/Q8I4sZNkWCF904WElzJLrvzWmj2PCE8
ibx5ROYHow0LUzzqMuPARykyc6NjcKXMGjHoRL9r0OvCwoJ9ppH8BmY+E1NWQwkIMrneFv6dWUHZ
Iz9/yIkYbCWtX0G1jbHx5dNdhd6am6jkqcdw15hbiNW0kbnBdMqgLJv9TO7FFAHXUJbxt1NibOwV
zTu3MFnayFjcdQfh6NvbjDKYkPpVgAAfpmSTUVZ02ioUkOB66O7OkCaPI+qXFWpBxDcZInl/+C2d
Ckj+q0bxTGlxTylRQjzYcgn8PgYUikHyhzZXp2MoEbhxdSDEwSn7sgwYtHN5awWJULGu3gHKaFlm
3srU1UG0/H4/cwb2qsIkvdw6yq3ms3xo47/b0jzf2y8IG+yV92Ah9X/11dopuC+MASnJB/IhL+nw
9YWxbnEKFdngV+ySSeKR6J+RCCW9KQyJYVfkIkyTs+BWX07rpKyel/ZlrBVnMShieeo/4ivBsnNb
SuQxk/8+Gf/wyVVmGxQ22k22coP/F39awvE6AG8zD0bbn0mjVCXuvt1qg4R8cYB8HslgORifYO7Y
qqcRLurSRiTUC2aNEaBRZbpbLSrX/2/5jpV5Uk93xEdgkXgMjfSblPM0VZaXqv3FAcUe3lKsEjO8
nEWOQEtGFiW5B18OqhG6v6Tth+o+GIOpfoEdG1t3jp+xE62b6WpalAlcTkL74mLIYOoIvfachbbW
UAQPHb3bkVqYA97TIfK0mPttmj+95H4TimWddNrw8EHXXcDHztnUklxhCm9fL+/jm+sI4TKEXX4T
NrWwf8hKuDtM31iAAWMIXCIv/pAqyihGMDLHf3L4YU2pfPFG4ECDDmpFTz32FD5yCNvFauvToEcU
TR32a8vMr1VbbWtzFcGPVHB3sQvN/MZRkuSVidUBiKGR2Bkl4gb1DdYMZqVr+rPZHrhSZGOeSDys
ucYvFUuiX3MRZ//UiOndW2YRaEeGM5B7D6Ft/aipERixuOSYatEISX6Frhu8mvQSItK3AMal2iPN
pTYDbLICinxHvvj5lkpqjKB0R/r+REnphrDeIzATlgqSR13ZDfWYFr81pmML+jcBYr44QmTCSlft
G0sYLM6G2sv/cvHNrM/7vMM3iVcoYOkqUnNjsK9MVVbMTMnw5JdaR6jMdi+6L2NyakQpL5DF+QSI
dCdupg5dclH+IXMdG7uiMHLvoNTIBn21Pi7sSGNSEcHcV9X+nxbwooNNTdfo7G5hxM6zjkJ5mMlt
K69ckGZJS9tO5QcpneooBg4ekXumWxi1vowNC67j1BJaCsbfE+0/iBBkn6Ls/QOOYznvzNxo0TpD
Fpln2octXs3m0SjJ95vTdM8lTE6ajZca30dHDPnnLgJ49wvWZHGTID0WWxl3UZvC4kirKrnqVcSF
7hzFEVmAiBR7ZRUpzGPtt9Yyed6zWVuaiAiA+UIQ9DPM5V5Bg2vP8BzmWU99LuDITSTh9nJ/okku
E6BjF021WGziYv1+UC0RAgO5JJoCg0j5QHszfb628vX6hksWP89jdU4dZIr5ghOLYjjpWpBzan6e
CdSm1EZ2AgkEsvPmG31gpp5yrWg1LYVC3MivxuUHFScX5JrObAKKl7MUDApz2z4LDEWyT1RJtg2U
+wt8S07nJ8NE5L0QTnnZXMKE0y2Z+TadritC430AWXVp28b56AAPDa0xOL9qu3oveuU06ANC43ch
HQQNulZrtaXVkF99LlFKB0pchJWdVs5ei20ZiEg/chtMn0irE4ZD8uLiBmp9To2GdZ56Hmnstao+
4xykmSoUG4EoGE/JeIeyoeN0BKABW3RflUJ7yBZkBRSY81jPpt5Ivv3oMSyR8zXImaZSf3W0DwR0
1eInonHTR7rEmbsAKIxWLyDeRUGc2ZX8olc/6PLw0h7Pb3DmjtiRzPRJCzrjaOMrcn7/RNVgirKz
gt03hX023Gt1p9NirVsIdUbBrn+HE2yKS2TzrCXeznj2aFGOxubuqbex0NQvvKwUyuNlnBzTYqwJ
aTlanROI//6Fg/a82+XMsW2Jt0GzPlQomQtx7MGSMK1f2Kejq/+m3mOaVT/VY+j1jNYwSh0bD+dr
bw1FhuAVSRcdetzDcg8nnuGmbq/ARwESPQSXyr4xY1R913Ga+GM7x4y0scFcTNwGYGmAVDSdeAUy
lGY9UfsVe1yq5GgWvuZVSk66CQa1s7bx7rBAqEiuN/elz/iIqrw6XWf/SHMpjRLv2FYLt65ecr1J
WnBdWek9wlRh5n+CSqew/1zwPlLanU5oQvCJgDnqvPp2N4gup8hBvAsOZ7uPEquE4TLDaFSsG2SQ
KSi7RIUAjhXcxO0VccfL6pAHLym2GMLYcSTemgf/HZIVsAUsd3uw1wFWXpub61sneRMRUxLbOTGX
kfFSW/hKdBm0RbRSDf+ZiHAxA7wsb/QbF8B14K9Sgx7C2yw8BW/IXEUBWAr8xnOejt5takAjBn1R
aMxBh1/Dy73hiyEYG324d0Rk1luI3zbSxkjTOD67fvvf1ZlmKUQyTUmXg8mCURIYxdOKP89n9uOi
6OX1ZBVGyqEZgx139DPl7EvRZcrlKHxkN+pUWBad7B8vUuwztwWHXsGWHin5DBaIkC/dQy0iKRui
G983x6pcDppfumFKv5WGaJyzS+m/HhWTCEDPCjMyaMvRGlHxuK+OwAHfWAzRPS0uqTGGED9wupaO
NoZmc53NOS11UOiLAsgG42VbAHjyvuqeeoltr7qEfZCIO2PKXgzt1W1yZT1XjOmBy49FC9meMF4I
qPjxkueMYEoPkBGE6BPcJPIf82WJ9iC9j/QR57reCZe2oJc3dO422KyXzS4wgqor8crsUf89UTW+
Y1snQgIyBjQN2rdEj7APIeY14/N/1hlyDE5SwEUayiV+dPyzw4SNTuhw5Xp/FmxSWJtMJefmydEx
l829jfuUFkjSOTeDAizcDf68bo1sxxOomvjWwb2ckNJuHsw4rWsEqmJHOyWJE8W/O9bXvTVAjEtk
BWmCfwnerUAdZOMEo8StjoKRTqTC3AhoyNA1bSHRrl5sCtHpjV63udVRvSwlKNPWsPjVvDyF8dv1
FQ1V4l6jY+LRb6XK+4f8kOiD1t60q2atWZv7MNzYocjP+D9quJwt4MgauWPjwSUmMeP6rV8aFf8p
cLO/bdTJeJ7d2IJG6/SyIUvmJYT7wieqDZPlCxviIIVtjd3XOm+NF6pJfh/2oNOH0Al2jVdNhXmI
0snbEcvkkOXC7gozXa/xL/MSRRO9aL8beeDBUWN9C9NJh2YMx1NmQ4q9O531h96sPTjZ6MHJt9Z/
3vcl7n57vvMp6n/ohAidpgTNRpHprrI2BogXjgRvIvWclM5xdLO5Y2+hfgIrw27FSrvrANkNT/k/
VJRAJtHtiM4TSNcTGTLbbwY6mpRWZV454M/3nR9BbNQlORJwU+1ZMLGlzWaH4gcv5PYaEkVL2wOB
dw349vjWoieeU+XpON/G650xjThX+0UD/kde/HwRYwm3vIYmYeEJx0nL8W81ZWSwPmgsuezuRduY
Ht4YLzl8oqIFjgon+lZfJx96a4XuPhqnXFMaDehgdO8rJB949I/jl7NaJYonrN2wWI6RG25o9yQE
/0yxLX9EnarynSGYgRmUH25SRIG2vb+yC9HpMbI9+vBgD3MBVyOVeDfahiezbzdB/vN0IaCcWbpW
RnWq9T8MtCEjoMwb/7hiOX3fu/BujUMlaO3QahwiwosuNlLqiKcBd3rEILFN8oJHh4USUktUf2CA
Aeegr01oR30yxyC24LWVHDz2e3Zw/KgTQn7iu23hq14yGCKgsaThfZYO40jhhg7wPgJw3nJaLz/9
a1NFBF4QeFp7SU83DRUsI7LzyyzSUTHTS6OIJC6uLYOFx8bzDD2gWkwyaKLdFHBZ1JAvMtBTu0rk
hnakA6lcsIh0Joy11rVKnBKo32EE7Z+Ouf9BxPqpD8Yea/+v7Au6J5lpPMxHjurTAMiMDkr/Lqk+
aD4dDNJk3AdPFHVCYi/i9G3spIrYFjC+EVGOrI93QQNMyA8p15yyqxPNLsohI+/HagPNwkAk3Mhj
9V+WFfFKBM3wfL2OYHVr1eTsJb8+/J6OimHWvhmHATuSOI+e9wwC0t5qXQfHu3zNvSiTvtKf7mxq
HzWAq8S68/UfAYML64KlLowS0COcgVcWzxxjQw7XY8YqxQMAB6olsm41vB25/LW+f0+hmEKHZkQh
f/WlFe5Yl+2aKrpHCqHnWW9/JBh0J+AnRfN5OsiqgthAw4DvUboOe0ZJeTOVCX49+/4555ADm8Pw
Nob1KpJjCoVR8u+cmosev1NM+M/dskyGhm87pd9Bjmk34v7a+G06kB1B5rjzmXMfp9wbRS2Qll+E
WrYaKyekc81sBvlVS1YLlhzBIyGNRJB9/MjUXkd6FhM9UOYCaYJUJ9Lh3mC5R/XoKz3PRmB7xkqw
jjz58hKL93OMW89skeJR2dFhQujJBGUszFN4NaCTtkSoJP8iUJsH2MWsxM5r/mDI1r7nt5nOHq4g
bHKF82AfBT32B1MhfKeezcHlZlbH55o6IuXN7TjgChjOgqavUnpCQKqvwwtYaZMfwudqYhndCIQF
kf3v5QTDsCmB3gL2SP+OjufKuqKpgbaUh6E93idvYsN+sOelNDWbII4uH8nf48fcbbiTibEIH0CC
XK/1tvw/vb49KK9qGTUVM6AdVlrTKkf8HO8ODkixufUiteIA/fSqu2fOrWn5NChXRBJOWAjyRkHs
FqOS3mBFLKT23k0XoDx+L1vmU1eDpMg/L7u8WKNoh/oW4yjqRvKD3jW+Z2i9LvxXHSHFByLgIqOc
4EXulsSnWrqT4KNIn0zrItIHfUfUyz5ivfrBXa0hjYqwUhlsIPP93XQMV17/lbY5jkrzA5BlZXMm
XRXW0x5lEzZURnVnMReAKVoWlydYi7+SC+dv/WeGbRf+ysGl1LlDiiMvIulXrl286wOd0b6ITZBc
Es3AorhlbtkKT4asSci4yq4guXy5Vyi6S0uNJ2quFu+l9H8Icxv/2l0p4JO32Gm4ORcUdAFtfque
1Dc9V8iLiKYAeeN4OT4JxY++yN2pBd7PL1JPvGv07EvBGtqHgeGhoDCQONhC+XLTmvJXA7vDeITN
RQIo5U01Lfb2hnJhn3H96aKD9BSYrpF0k+w6QrtKHCD4/bZHXOAL2t23oGQD7AujBgqB/47ht0Np
ERHAa3HjWbZbYwFSyichZHEXKE0SOiEJ5BuUX623GLSe1yeHpEeMKAD1S7pkEyP/J2g8wrkg94HR
bvKjz3yDE3jb/4+ZDVn7bqJV5r/eiA0oIEnLIJndE4gJIMq4PilUi+UuimGH8pcuOgLZJ/sqLrG8
lOasU9+cxPX7mAqenDDMPMV5qb7wxxOEwm3iRZuO1dL/PLqE8KvIWTKsm8rPaqn8OI/rDeYVHJ8a
rkNMGowaIYkmO83VjXdBgfVHrfNuMcFXjMP3rNEFUzHRHxW8cXT04F5zLqU+Oeztf84TTO2VaubD
w5Wq2JIQBh6lnBLY6/6vJ3ATZ0Gvdd4Ntx6eUIxSXu5Bn3oNaN6IqvLRjn9MWY5m8HvuW2TAeFtf
X1n0rpFeSxT6Agn0lY9xTMITLuZYynDFM7GcdMi0Uz17dDRGdeBsCLY1LVvm71C4JVtjg5nvg8qv
ZxtmuqadmLi6uwfHeVHy59gsMVtgW3hx14xrH3BFEIHFzmdfosQYyesLWGv9OOe7mi1o+Q5RHTO1
tVi/K4YweP2Vhzrkl6l3Wfnn242v+u0+BiVtmsGppiAU2//YcWwB9CZpW/h/OfRyDok76nLDFqWF
IoZV/rH/E3AnGQPI+ikmb4nBNMDyjGES7ww+nZ3PKStLXuIqJb3jGLoAtp6GEDlMWQWBMUSQpX2x
k+EEu2/7+xEeX7EthgALOiJGyOyJ2syzBE8k0EToZBTEu8gKd6om0b9K8plzxYxzUzB3XMy5yG5G
ZlhZottB2RJCQi3LWcJkNWMPOHI5LPoJa8v8TamGI0RUcb9cOmDc/eLhZlzA08LphU1rh1iSea+i
ybrzl5r2oJo4/i6PcKKxLPdirYW5GUjs1E2UdCu+F+aSGf6xIFUsBOwm8e41EAGSTAjaJ1wzQjAE
fapEQoZaXnG/kTySThfBLx5vihqJ0OW7AfcLSDVyg+sePxLfVcCeRs04sotTNjDt6KhaSEWFv79R
q+HXSP/zYCH8AbNlUJOaUZ33UjF46oTCyozsLvr067M5Hp28ggDtKUBsRRU6JCaT87q+xRl2okc3
IYK5uFRu2QOHis6yTd9uWmj9p0G+YrYjHYxSIE84QgdBj9OVRa8Cq6Jpc8HpyB/N7KHtUE1BuRy5
MKAyRJt6qIRaZ6aTooEEC/XvTsbfYXqzwgUev8GbF9RVqMGKebB5m1U9m7sTadyw4gZS5/gIJ293
gXpb6pEUav8cFYfSW3mTJfJTRlg69aK9+CVGanX2Lo9cofF78rbTH4IE3vTi9BW+H04nJkXJ1BMw
RvcBGLyobG9tVyDORStKZl+MYpKZZfk2fRN6FrOWaNw0i65I8GC0KUhgIBzjyI8iKvIkag5Hlddr
LkCzZp3PGiLj8uvhYp5V69NFGoYyaf3x0YZkbPhCQP5FJquesXqRDVnH7gPHKsWFIGMeuxYzGcU3
an+XIUNRKHzDnUrgK6OVt6lCExoqh8TJaLLxlmt3pZEUgHAYLFSzRobcpV1jzu6OpIQzDlXNUkyd
4axfhX6NGNPhLYlg4+Cm5cR36XSkFbBugy7QQk4mRS4NLulKRP6oCxVyotP6UL3TYg3m4xzJpJZP
59Nz8NzorVyeJNB4srh4PivBkiX5TKJNTaTvDZNZnC+E7wPrz19QIKEMbpEhIVE6sxbextIU2Lxe
/6uyTA2FDxbro4jRuX3t2Y0KpDktm3Rwl+Rfpi8VLW0jYTXk9hJWx+vJBdRuLljXWoHomkrSQp82
tp6mWTFJdM5QA73sKPTEaaFdgBzdG3AMvCdFVKB2XTGQAmO4vhwMVxsh7xJ8YO7jjaC4PU15mIRq
gDGjg71QGM8VYGPHLFjetd3Bh+liKp3od4cL++ef8EihcddxXM6X3PC64J/qHMr9te+//o7DtI53
ZNhORfF0nDoA7+QYj+PS152UclZdzymGdoqlyKk01t3YUjdLX5sViFEEhIv3Ic1jyROAsQiHuFiR
oJyCJOeotbcT7fu6tXuGzXJqopNCXYc+9PaAuGTLUJjhiuSYF3Ckxw7p+ItlGdtYL95PTKHJEhry
E4WJcWn4+fcLkYVkYScuuN+3Ypd22Gf2uCkfNqU76pQ3WyqbYmfQvi5H5znNfZiME099lyavR6R4
BsbSE6+vDGnAIL/rTdOAUf+os48YUsfnTMtuoe4xkIKdGd+mvyZ+gb3xplEM4nNud0+P4P5tbKM+
KFuISvxvDKSXHARxAG/WE5nSzWbs+Wz3+4lq0kLMT8GJJhvPSnENFr18KpJtCNxoAt7ugugPj0Jw
LZ5829N5Sa54wgqET0dJTUv6tT8YkTQ38A9IjhAmwH7XpdhQQ8+ddiosyiJjQuWu2Twt+bQpYx8S
8yvFf8dl+yBCuYpsHgyVwZmUz6j9HK8C2wup0BAj4swotdvUaea781Q03spmb8TXO7hiUEDW+fJc
ZjnnQCjgceUl9O3lCYq5Uwm8/KioWtRJ7ZdQcrzkXX5TbkQVAMLVgOKusjtT98c+nxuOgBBHD15g
JGoNSfDv8JBw29HPaLQxijxAIVDXFI9Xs7uMlQssoXaZF4XzpBcdjLHRSR2LW45g1lOUV0C9mDsB
JgjFpGVWYq3OsepDxrhLVY+uh0uP6E5ksYzwBQhtc1mXe5dqASOIpJp+9XCyN85Aa40WHI1fIWtW
QB8I6MHCTzUwgWVhyIlkBuYhZ5jhtJxZduPJUPUmVuUgBUYUFePLXHe5JV0hc0lVtWMwSYgzKvM9
/vqDHDdxH7GBSjeRlqFwY6uwKZVkcUN2YC02X4Qlhu2raGJm67YZGcXP530GUMUIli8WvGVzbTwX
kC9tRVYGCTblqMtgmMDWP6tt9DgE0OeOlZfdbD1AkjK2F+keBKtJjZOi5w0iXEBuhWD9mUp7jKZL
yBc3+a4Dtfp840ZICDqQbKasNbisr4E2SHOmXloA/60WVTwwSVm4BTqLqCnNFbRRZ1y2G4JikmUI
C2MSQA+FmzFjR2FzIcpzUlGZ6NZk3OCJH0d3HrgkAcRRjJiNvfsLfiycmYuUb3iUnl5q91kslnm8
nzkKMfCO+mu0YFiDvZXLFRBNbVvyv5Tl2OkrPykovkbqLIWVnNy9GjWFwCvpuCIEvMjrI3B9gtuN
3CMpcdHbfhPRbSwpsqvsLCUMQDPWOc44hU4f0iZ3Dn6I+KJE2KQVNzjGaQyjmXYiup0Cee0lcp8t
3ptWJ1B3jUjft5utaY8zITHgH9UPVdKvDCk/1+e7E2vgVw1FlTocOTQTvK/eINYFifia/cf6r5vI
44CNAJphX8YCnqcxqZw6jKnwg9zsHhvz8k6qSkR7DYxTDUXTHXspN6OMW6+9rdks1YVrIIpWxb3c
wcPf+Aa+nU7LHk/5kU4EK6hDLGjAuXfZHcC4rzfI+9E6bOR/63hq3qx1ypR8fiauaTgL7h2TN4Ow
bXqPviKHwHV6R2Auewl4n7XUBHnO/cOMY/aEPzjbb8DutgGcJSHOQXqlgSTius2Wf7p9g63SQAEa
wFbgubnBctQXmYJemibQA9RSMMBvbAbVcR5a+ncV8S0clIsDlIk8RYFalNQ2U1f8HRWIOGfL5pfZ
Ym8vvBrfEQc9gdjivZpKMMalx/745nYL75piVLROnMMDRbq+Da1InjdcOAhv9js7f6Kb/vpgghRr
pvy6PNard4a6vz1qA4CAarvDGXmKBJVRRNwUWBEZk+1NBC0lMZS/qo6Ks49MJI9e/pIzCyJUMEwD
ISX/o5TTSYvuJT2PMqhQlknVtMoCTFq3+OVYf2+6DLYOzLfUMoi8P1+bCGFPueXuL01B/9jeSyPU
p8eZi85KthlU8igJjO8YtSUgqzqmargM8eXwyWUVAheu3kyy0y4O4NjH0s7bnoK8O6+UDlMYeuf0
9HU8w8R+vpr8iyGjaHpS+s9W/O66UhwpQjcuSIXjioBwpBfGY9dnutpkPqSqg5+4pDjjHuQsCNJb
VxV4yuC80vWtAEU0GHboB+/Ubu9ldXhknia2awQy4H0PCu4KBooq4dAifAR0pCxjf++U5U4Kg0Hf
XKSCMU/Lqhzv1xP9zTnGO/p9mwhf2mzEXOLLerfRwppMhamIIv+3pniYeo2rRSg9PQCo/2kz/KK/
6cRoz9hpQbQRPuS9CTGj8Rr89UVXInJondWNKLzcFqAsuQCFD9Jp0uS3YV9WacGPgBlZb+p/+HWE
ltjHuqBx57WBhV1unIqWpkVpmV05VkcDm3Ve54HofbRxmCSiSk+AtUdjqWOQ+hfHV/nu+83JvXDS
PlkaFloE1HYYAPDMz6pc057QVMfDtyhys+XE9iX9mNLYoOBnNFLvkIK87T/ajK74k+4rimh40vj3
ONrrT9eUcQBdXEJMAuKPV52z1NC7IZIBpxQf9IqUWzUSUQBFC23k0Bq/+0msat7SdmM8zn6qzU/o
7PmAFwbSXg8Ujomu6cTXK8/BMumJIF77MqR4bHKUAtef2ItKHVGmoAJ9oWOngghz8XXnXzROLSAa
EZIAnxAmHXAkLDxzDaylLhXj81OY7iidso7z2A0O5kXU5fDh4eVygjbngmvfxlemhJEONA8ZcBn2
rHS758rBwlfTfB01H3RsHT0zLHWqUXfYWyjMzTQiZX3IEB6MikeZajvlxvC52nXNJe23ogiytmPa
J2R+YMeD1B8xzRwURZ2JtqwD7anptKQbEgKqsOHpz92xpBCtKLLTCL0IaYgB1QQJfRQF1yaJ7+C5
oT+rUnz2tbKSfAsZrxJ6VafCHTccYjGswKbEmzEYP2dp7H+MYufwz7DXvQiPzmCEV/dGl2Oc2+RZ
HVkNTjNFo2fmDdkKocNllyYPqSeHpsWAGXQqBE8wrj89p2zTBPikWGv69Pqql9Puoey7EcFFsIwH
279ilVLmPutmGtsvwFk2Q+we9Un1ZpXN2wBWDyZNmkYBqOhhJPaMLowrNgMRl5hkQmRUlg9a5LdJ
5YOkpo4e5jP6l7w6vDhRLVTZdHzkFTOeEfPtAND4mnDh5ydKYpNbVDF7Et+7jiakXLh2WvvmTZ6z
ACOEofzLGgyBjoIyELGMUPwg+aqlPoRSBIpUPZfO9WleWVttrgdTVtSW9ErDmmvtS9MJSjksEPix
JE7nFxZ8CMbXTdEOLwPgdwu7axndJOkat9BAMNz7PfDFDfsyhx/LRdQH8kWSw82DgU5jMIpGoetP
BKCiMCsIwpr1bvjn58wXwdW5ALV+d6/FgHlIc+Vp/DxVCQKHB9mmD2qM7DBc7Y4NphZAjABfp7vD
pMDEkr6zIeyiJx3ar7FMRFlgE2/zmubySsuH3yDy2chiLp1fe5o11pkB5cI82eK/IAG2xJUVqE5t
ctBAe078U9JAiNjqOC8Y4ANjtV8sBkd7e5DsKaAOee9SqJ8YZG5nWsdGgagfDpR11j5RiZj8cyVX
zIWaDcA9M/FhGlh9Srv92ORd9/P+ikf+V84PcOpa4q8lotrXCfkBb3FSKgBISP8NIglhMOJPG3ps
zrB8v+IDWQ95sMqS8jdsUl25bBMX+FvLS+TPsWWVjJsiSE77yLvgr17RtxjFEX6c8UZFCVvqlDLU
+kWqeO7/zMozX7WaPOAhp9z6AHQjuTf6n4HZrB5C+K3k1QaOIwTfSvp2N/51ygaQyYU/wD/PLZxT
5Vx8c9zcWpIlX9sjslrZPw2DVkfkTiubPJyW3ae2uagx0OyiluK7mP3N8gZ3fEnX8biaFBoQauRE
jwmtWpnL1CwOxYc9DnAy8A7vT9BRHmWu51FOekmgxMkie2i0APqekyTpztOIjDunKj8HpS8PxzeI
+TbDuvnsBah4wU09YbDmw8ioKiDA6aS/lsciBwjoM7ihHWJzd0yXpgtKhQ4vx/AR+v/EUfi+xFbi
Oo96Slj0GVHTC9PY4IbgiyyCxCcsE9517b21TjJA2YOEuHdH6pxBMoRSrw6i+dCsWe23X42IFMtp
RnLJo7/hCS+o4XBXnWMAtbQuLfupoah5Opqh1HFvJc3Nfe6Chyel9BWF6CevXj6qp8S89SDchB7E
ztaLdYzCflfN5zxxl+mUkeaGJMv+IADFZ6w7QmpAHavdVfNPwFSMro/sMQXGWoXeM+xac0x6ib9A
dzaOA3MzQgQEEBcDUhPXQpURs+RJyJDTgvdJOfEj5Wju9BSjSYB9ajYXUSploJkevgN6F3OnlP7T
imMvuUWds/iiNTURMuTU0jS5Ep16SkPKWAHTodNUwe8TU6J8d18luBvLqaaMNqiYnGBK78LLblZb
ryluJTki6qEkL81CCHFBuJF7syTSgpd2GxtLvsNQJe/EOszBbakJWAINwHc4lJhD2lTtC5Ds6N0Z
u7OF0b9LGkeGmsbjqHOmhpj8Z2XHoifhKHlkx0Nz7Hr3O2d+M+SuNMa1BbtOozybvHEuScUNIfkB
mn8wwBmLAqe+5KSvUHYad5AhqkZlLIBvWgCuMirM8gyiiqxSdsMg5fOGKFlyfgtnnrAEmm5vn4CA
VCm6sfAuTHokgbVX6HYnMEHR1j5HDOKy1qBR6/ZxKnrX964b7aTc3YZR706RxZ5vW4c/F4gMr3lY
ZYoLHvqLi/QejV3k/F7+/SH80ai8B29Jz1XlT3GfUUDWuYtnQ/qJSBq6JHk3GxQ5ABevd8eX/uY5
kVCqlxbUVX0Q84pbgT1G7V5nkjcR/o/K9hPEwM615ABj/yvscY73lTF/MK3ikld2oGuoV0JQlGem
xolVqiZIIfBAlmFZrvEIfit31FfJNr7OeXxMjhL5OUMjpVf9xN4xMa9tu3YVFaOacVB2/qV1fh3k
mDI96g/EvkFukwQEvd19MVq0s3r1qZcO2e3O2mnml1oUB6wUPNP5hnGVSvPImJOcrQ6tq4pLLApP
YcMzL8o26Yi2U3E9eFVzpRlx2vsgIwVCKdyXyQXT4HJgcn+FdNLWFm5e3WJVN3BiyowqrrjGWNEW
I4oW47iJJBK3kBjv7lLwbD6k3YpCIeiXyKMJv/wto9Z9uJZc7aGjL8iXeYOPW6CzUxbasXpCoypr
iUtt0bgiOiCT+DOmwiNO5rd0S0Qi1d3MDdoiv+3Aym3dp76JlD8eEoIvPJ8yf7oxWTCyqJWSrIKp
ZQv/KyO9VdW5OTsu9Uki8cqRLaNIaE5LuPw9CKRT1QrWk8emm22ai9WB25IFrVlF9MtWRvc9xSLf
OSAIR3UWN+UglGmm9f7dtKuw/i9E/zC/zV7n6DsbVLqSi+AzLSHajmyYZgEiwmaJhCtg6Xy4pZxD
T908wQZaa0eve+ngF/fMoxB5AH23h1OlZ8YMXbeanYr0txzlqxk9s7UGrntVGQ0dLaY1TyxTi4YM
zRWmDNchpYE6BptrsMO7XvFWhsquW3OXWWhBz7OgOzSWAc6oyPk9C3Xh3jW15pF7988GDJ7KYIub
98YOFkCpdoKqRlNqhOEoSx8dKc6cSU7EIWBadNKNzVl7NBl+iOriEv5i1bTz5q7FXT3j3MrsWc9k
l8rGujXxzWqW3UQiq+jH5gYAfVcbj4jOgD8191IvlE38mrbX6C1PQSPYKXtphS2jFa2g6Y6D4+sg
P3XNWrGTSGhU+/DeOhkkgpIS3+h7SJdh6XvES+DhYzfDtk9OKq+yMUUG+9WOnxgvFLIMpFNAQwNm
z4z+TnPNn40tOBORdqWKio1ZBhHSaIWjNi4Ln7k5JvF3LSJkxb2Obpy+dAsplAsrdCgpXwi+TCVl
PNftJXlF2WZ6lp6HqWOcmuU3TISIQwcZavUdfiY+MtnCmj4H3xTuEMEUnfBgmcQVS6WjXnCVxjds
MFtzbtaeFjmndKzS8X2Ikz2iZC3rKXDmhAs8CdJRJiIXglJJMzbKWbxhr9ZfroF6G6ipRj7AJaAX
xfKRlqWmgCIYo9O/q9YiCBtttBbgPlMHGoRxl4a1zpPYg9n2iOX9MTut/nFgBbaMVCfxuT7MpiKj
HW7t3tU3NEbqsgQTxuf2nS2LttuvlA9cI2pH+ekHNF8ZoVPsjFQuuu+V9atVmjJ1onrclNMpdbUd
J7TcNap28HH5AWmFE94wCw9nsUO+ziaKm91t5iTiZWYQ2UGyHNI7CxjdQrpJVqmin32iea2GWxzN
NfoIaIu0YznZLMZXboTTC/CNlcRq+PydERGYxSUB2DLe1U27KXz2N3xnEciwls2SNSo0GV2aNGfp
y4+1QSLRfvC7FTjNO9StRyMky3XIpN0nvV0Ra5oZOpZt0X24rqml2CDVqUVBKSEJ5neSt/z4JgHR
p/h38PpWpmL9tj+hjBnwgjTdDpCmRw1/swP672Tea3gNGnGllApkwRz39+qGqnQXlLOcFPY3ViEq
UyrYpEWM/nD2Wwrpn9ZKZUfYmcYerV2fZ5NvpRmLf/CDNA8CgRGCrEycBIhptNXqglUCpFL+GwmD
3jW3ddJ7Vzo+x+E5uc6P9jH1STxzryK1AnIfFxOE0u8uBtXin4DgeS3KsW+05Ex5n7IRb5cYQbS0
1NEasyuNKF4yUJal0Lt5r+8PjBhcdXhIdbWuBaYgJx4FSgiLJ3xotnCXNUJ4/WBE1b6K3Lyu1cAr
yQ0d4O2TomIewXMKHV+XryifC90ajs7ZrLzAsWLBLqiPvekhGveZYFj6mi8w/0wGroGjQ1Ls+Mse
GxYdG1ItxKib0YUqzTtWN2VCjqtT1D5WrCBynZAldOuwkXuv+dgwys9vGxKB3aLL9kjIHIWx2VtD
7vlHunPPN/u0VquX8Ih+kFAnV7IVRqJwEDDyug3f/To5e+q2sOpuWFFksOYDPJB4SNEOKRP1KKU9
K2AdZrC7j1mBlPiVvkbd1N30tzTPvYfDql4DX2kiA972+5QXr9NasizV6h0f07szEmQNNPGibCBV
V7bOt/VLXKmC42GSukRQOOpRY2vLHWZwn5bOG33UdXeT3ocv91ddy8eZzyjA7bfkKymelvlj0Z3+
Hsj3of0tJgp8MBMPocYLhD+lA/zMyxjj4IDemuPdc6uGe4FoQx2DRrBcOWdIaUm/ejJwZiwbVcsG
jznCaKfFaLdpCA+0RJCPn3j+tci2EzPZ9p7Da2Tu2XNXl0wyQ5BN9xlPnalv1eMWXJ0b9lMpWbG7
/OubnnaEiiKrD/lUDfRKOgAcNNdiAXQT+3du6Xw/Ae5UlaQHW0eOj6WW7dQa35DzgiTKb3AygqcY
+jRJ+66ObMZq1dRj2SdxJadnnXADqdF2vwQVqP8wIN1AhJpozXE6eI39aEyOuhmz3l+WBqKeoeTH
7F/xM6MpVIyLVH8U+CPHlO3ZxKe6eUXC5pYS6g9E+JcvZWsxHBbDxOUr16aQhxh9ndtr7+Hw3Ph+
szysHtVBTYxDje1pTii4PElqpnT0A1qd7fRDCFDs5WBJVqvzzpMIDKfQJqttLx7hQMfJtgrIJgs1
8tQrjmTyVBLiQ6dej57TQFaFiWignkUk+5/Re43SKKLAFRyE9D5GOgSHTyELmswppPPCBPk7RaW5
V6jFrXJtcEKAMibTm3nsmRx7TWbdgkO1ok+Mvc0EubQBq60q/TTYRt4uY4bKlLICgaUjs4Hg+vQp
z32onDjBb4zouW3c/+1tpCmJzK0yrsV+XbRcjLoh8+w8mpAyBhSncT6adwLgSKgkc5Tg8vVaKMYc
8XuNAT7qalEJQuHN4+3LcXUoAX83bINyFkarWUI5wQ1FS7gt+4hnU/V0hLpZ2bpvNXef9FlMcICJ
yYC/Gg8l54edaDoo6Lfj3u/mkhOuZEXGTpCDS9DzImg0gSMIqjaUkmgFae3vaOA7T28MYWb03buY
7ohGpODR60b6562pZyMJVoFkhVBkN3bPc3EGEFMsEEoy5zrvOgBMJ+Nt9MvuT+883o5YtDpldO1r
UrfWFYyYzGkPyaURwfnAQbhYbh1WYqP+QtR1HCLzFA5Raxy7ow0MsvbFoaTmibQQ2yrpMGs+PzSg
f7+x2bothF3Y3IiYQyU7wB9na6890X22+LQHaBsdxCvm3/HsSeW/2J13oLehPcKnGsxrD+GNdlV4
2tGw5F9wFJW29+S+DtZbLYT7notIEj2hcVfccpF9XUyy+4mh+psppwONzfbcqVknGnKhrykCKdnn
JHIWsQs8X6UaDrstrwTWbQAkiFAYpz1ogXo4T56cRKSiZ8ERJY2E2ZFUoYj6KbydMoF/ardwCHrF
OA7ebmoR4GT7G0xvsriIzh8s+bM6vTpGVzo14mLjWaZTZ1FLrUCmj9CV59c8c4/RrkrhJaMefd37
5k6wDEyYtsbwfiAQbwgC9vBl9ASOQz1TGOv5A0FBpmrWaYuLOBu/LSUD2p5nep0kmL0pgk5ifSf8
4RE88LvkDD3i0Exh4otdaFEPgGryNJ0LkJ+H+rIzDLZrCrHn9o5f38OdKGZm8YgxAvP0x0TA0JU1
iwa4fJTjsf3zRrS1VChN9RbJe3HG9vkxhOPEwq2nBvMeWOxQ5QF+7tX7IKX23xbNlWYoisGzILLs
2abvPd4VuKlOft0vbsedxSyZQC0W4wOZ6DF1AglnVspo9QxUQ4jnaXqSSJH9kNo3seQQe/138LU3
GOLYLVRiCYlK+2B+SnlzhHQefc6DAAhZyAwFXSRkPcsSj22YBRefmVX4aKBeJnaoIOZQ66OnNNuk
WzBPcQCydq/VYUVvnVHcQnD1yyasPuwQtgcpyiX5v482lRNAAGAf6/844z55zkLq8tzJrcVJcPSU
B5OzL+WoQ4OTaJRWLL5MI8HCaBlVoFOlASZduEzdTJUGW9LDM0uaOXXDTP2ZMbbejudfVJZV2iG1
AFPgaIH9fItsglcgaYaJkjYoXdms1Swzrgc5tZ56nyp83kpkaq0BPnldvDrY8k+XFuGCrltGk29t
Uec4kemBKqUdfvUtS/vK8EkkxgI1y0Pl8mjInQnCBBttXzDheqwSVSg7y8SS2paABmFyNdWQKRew
pl2elaa2w2k6MemS1xdd7lg2XOg2NRyZSQ8B9vUIATw4LVPpBCMNsNh/Z2jWlqL3HkReJ6yC9cbd
TvfM+t/yYoZirk+Fp2hgTAlCeesJiQGCX4cxZb2cJvx/QIax6lyOUPuF18H8+xHCack1X9lp3jhy
trIh1nAw4jOEP4vsLsPlOD7qZ6vioVN0qhXIT4JI84LIuG/Aow0zArZZg1CaNw+gXnmodbQIDgu0
mOA6pKN/hoviIQYqIKDy8GqzHIx1AraGDR0RlaFaEb3lQcq0E7Pc+Upw0+NIDqIwW5v3gjM7/1V+
8Wvv8raHPmLo2cK0wZWMmnRgAoU24GoVcB9yqN/QNb2Ekgp3YtPL45Nd5juPdAjt0brk0pZwukZj
JUc6I/vVsjDkRIZLFtXEXFCu5GUIV3nVAtHBHmarjNJd8DRfUtXqo/CqrOyW8EfosezR+7465kMd
ESajWBTUyPn2LXQpnJN+lfruiuPaZ+4yFYiYiQlLoF0YmzVidiqBwE3peNrWM4l5mPyYPozDbvHO
+OFvnN06WxlgHqdp2Z56D45EefqNjYRctC81S0VbbLlQ6oJ5woGUEHt5p7umvxShauNWCBErbIp0
S+SbcNsE5u4aFEei6RtQMEqqwMdnBUB7fS2Y0eR17Vb53jaudAGyVns30we6iS/WskeinINa6UYc
mppOVo4XyM9IwknXUJK6n+arMjpKBgoxBBhjeFMTlwud7N9kB85xHTGK804L80oScNkYdSh/2wfM
1ZTDS2DU3NWI3n6Wc6ypkm2YU5kIvk0trhO5VNSY+Rf9RaxeUBigwp0I9pFXKkc360WDphkQeKOC
Oh++Xc9ZyVjQPmGumP0m8Zu5F7P64yoO6IaML6RhPKyHyhNx+hKPNh1F8bmHVIqVnoQkZKHQFqq3
r6ruh+BVjKV3GwNOPAzJGj9wqK5DmH6bqlfNYAuAvFQ2FewA0Yirt99BEyDjrj0qPUOhdCotlJE8
qUJuyBUPukZfk6oAMp9CmBGRTVI2qeCJ2ubIbH/qx7KijWHVfILd/zzJQD72i32+Eg4LwBotUt3F
8rx0J9D70kNGXgMRLxaRdTVgmVDMthJfkbQF44UAgKH1b1lTIuxA8zR5tPs6v63dDBBcmlrgawJr
rELumblijWWe3SE1+IGs4vd3X7BxlKjZCpg6okncqvy1LHVwknfWxeM/rH+qk5nIUbIuSYLXI15C
eRtQ+mKEXVjwlSKcGeZTYsf8uEAcqOgz2VV2BKxLlcwGga1xsiaOoDfsGVWBU15/gVsgo2Mx7klD
7Kk7ThjF0rBoT5TSCYooC5uvNYSXgmwaEweJApRX1greK+/sbO104chOu7cldeJxknNStBnFAYMy
VJ4RhFtg/ngk5feogaDIdK5uVgsmSeJzcvv9xi7GVjYJ5HBxpFfwc34ABAePNKkrclt71V8Io1vQ
SnpAtDxziRsE0Xej9Qcx+lDWMQLTx8nplAvrw/eylxMxTpptaOYKXuNzlaFbNowaEhTafhGbPrJh
UAINDuli6AfUIxczlfjUlYaKrY5rJG55WQVSG3CCvjrCDPzFSm4ZlY999vBqd5iVgzwumdRPSp7Z
C2WyTEAbl7ZRKTlpMSBZhf/p3ifiQPkttcqEOpiZkNqTpjzxQviZ7oKc83JHSTZwcmTTV9MrWQqp
v/FrDrI0jWrVSMAviLN3Jjgjy78Hh+gtb6khDiZypolRBxIG70N5Kpu6FdW4EMj5n9kmWnIxQc9B
3FStXZ49s3WohgOvouvIyRGM+PhG/b/XrMG36QNMUcDapLsdPpIGdI7nnDAlvqz1wAzey4l9X2K+
FajIp8Tj6EM/sJMsOUQzVCAMrv5CHNpbyRI++nZkVVSJ0lxDZ+mKWMAAQ0FlCmo16KjNjUGoFtXh
CGd40f7TNyhra0Y3O+VcNhMFwiClpX9IctCWt7xoba8Ws0PhLjJetNhBed8iPHilvf0r9medcQi8
5TBqICs1wa3Ea4EpYVhvxSc04YkSut8tEGx0Vgquem5dyqBzA2Mirm/Qd6uA9gEMg7bmsctOgTps
aDDeo37xey68Wsg/4k2xVVHX8Dvw0mr8pL4UnDuozJRFgKXVDP45OFph+IPnTt9bLbdrySIXSiSH
uJh/4dvZCvtUf9zUiDeq7ysW7OxnD07bShMGT/j6DXOguWIeRlrlciyI3GaKxhSAuwS6ENe9vLWU
8LaV8tYx+SQ6ktQuy/L0Xkx+Hey6pUY2nahdkwnypVa69yWlZh85i60F+a2/iApNUM5OCfDg0XaY
eQM2wAQAc15MrKIhM/fOjij/cIr3vgfmHvMC1AbA57MxTn9yX/QppMx/u6p/5MEnCa96P3AjrP1m
tRrLEpBj4LjW3R3WPkIs1iAz+ppwiF56RUt080xz/lWxEOxBHeRPbeg9JZgkd/0pg8TqMqz6wuch
cjRjk7j/jYv9+KiXIgPbRgV1YiAQKDb+cwIVNFDx/YFQQ36LwNoR/bAKt6ZY+k23vGhmPWo/t5TX
mO5jNL5uB1j0fl6ITaTPnscHtusSiO7HQoTX/LfF3DQbIw6xQDtPrhR86mgrxH3aQsvDX5AeEG/Z
Zj8h0Ozstt7Qctl0e31CUmEnwuW2QBr0binRDgdAHYFA+SrT2YGbHQGHiANsph1w0AvaDMXKtKnz
URjgQ+kPP9IHv4b8/qWu32c7QhdTFJoB+/WQUjZi2RS+N3r7MKY7ovK0GBiXHg2ztwNBSKSSW6tV
Ut9btEeNcz7dAI+GLh5K08wbvPkqk1gElr5Mpz260t7x7DbiPOko8wlRAPQI+V9j0OhR0qPlk2TJ
WvqI+ziCbxtIr2MR+CY4qm3bxOnhbgCg/VhbGHGAhCoRr9vb+Y5n2S3obbkh9598obkNMDoHD318
DrKrNrrhFAX0cyC6fkla6hypoaXS9TNGy+7Z2bUyprOX2tFN+UBkgmn0czUxYl5D+GD9wQwidyKm
oV7KbOEYdqQulOMqZ+3uJgHC4cIZNNmCCjNUvzEBsAN3ilP3sF2+ehHdgaiGkIi2Eaw2rBnsIK39
fF+ub6m+0ZolfutBkewqad3sfKw9pefVjhZUNGeaVYgBepbRgeqj8AnHl2QWa2JAozJZhUR4OppM
t/e/aZCQ83IppUifCpkWJH+qaY7shDt9yzR1jRJXsfpwnp3C7q5JhttLTZqXb5sGz2y5lrervb6w
fh0rjODk6KdKVrP7w7Hqj8X5u0o1v0AjW66RrHX599qNJ7hQJIFkxOmRsMksn87TauDCItSMkAhN
BEIdMprp1NFSePJ7kdy9LBwlHOxxBmG2V6/LUvXxkIgckBSV3q6MtOpwUY8Ek1oG6s8aDs1B62wN
0vdH48X6b+H5XvZCDJ145TFeyiAsn6lrHDLMF+m41vdvElNXgV3sITIXeU+JqrztPxuuiw+mACDs
y8HrCOFXFwlmmUnpcpSFchKWTj0X/Mx9yv0jmZMLYU/E6Q03nIbKQgyHRv4Kz8st4YnaEJ7Kw/yk
Q3j1SZt/c/pCVURY454TEuN+OAK0A7+8cSNCdxhtOnLt6leE243+lkRCsY+jlM2J2slwg39NgDoQ
elQVZics5gcYd1QkDHI0II5gEQSLSbUc51LbbwgudLugZq+2E8fZbvaPyVswFX0Cb0LbSytGjSSH
ZtsT7qR13W2KtPESeq43bN9klh2BLfVQXOzjYYCpwyoWkFOSqvlaz9AjJ/c8RavlmPFh7jfoj/Dr
L3rZaHlkuM7LRSjPVrzWFWxujtpjbbifL64D9t2pXY7oqs7NYm9Da381tNMWT2i3Db54hZHd/4Fa
SekHltpG4zD20S21a0wwxA7oEVap7d7znrmUhS0kiNi1cdZCAmofzhRZF/NvNMefg+chsM7kl2V2
JjYnO0TSYVWeUYoIFLgT0cDiAthi2Gqb8FHWh4lJJXq448cIPXYXFMUK/PFtsnYIedzigQIKhCvS
JJvOyQTV0y/eGQ/BBXuK0uLx+0sL3N444VOs/yUKSOMYlxaEH+DErqxQQR5PPO9vKayhDQN0ObVh
6ATFawpgV3bGnRtPmD/YhOXGtg4QuRHMZ+6ueAANxklYUmbNlZfm/JANjKOSt744v9ibnmzP5m+D
uPnv6hysfn91qKtHIZuXBhC2EqlcEiXWUepazD7RcV8SwgnlkwdPZ+m53NykWf6Z7waxt9nXq7j2
faiHe+95R4oe6t2Fkj2qAOwI5Uu5RTsGf3wak+KCrC8qYz2v8GJFFqyTWqXe+mnkSpPaK8IATfMB
pSj/8cSJ7gdhtsviDqBWIk0SaJrtouJr0isn5yCMQsUUK++WY2M2LCq12IVBjm0uxsFGCV4v4diH
U37sUpsU9cYBBN6Ydq7h58wwnGGo3l47QRzEUwClVD0S6UR2BbuuYOMBZR7n21SAPNBf2WaZTC0R
5uoEaqYc+Xzd15/xNlc+4g7qoEEUtyTvAGov37jfFjnATBYuWhkoDHLAzbjF/QQ0LpdxXkMWNzAe
6Kz3YKSb8Dhgv3Wd4yPeRPpikNmdDrCtRABWDUwjecNM3k+Jcj2HU92+LV22oIA6rImPOCxO/udt
W5G0sUyJ2A2TJMPi2JutrhQrSeoO0UgLrk8Pi5DL5zNfslaTHujzcJg7MF09ca40BCCFSpVehFra
U7InJWDCcEG3N2Z4m/fApCs42GqHwdxwlPdB29YegZMli6Grtl5Bvytv9mGOtgp2DtotjdU5nUXs
fkzl9DHcFzfMjeGDiyvt+VuAQZR+KhZIW1Z3AK82hMhtog88aJXDxLTjkDYVA6SsYdDBUtRUTzpt
L0qVczp/4mjNDcgLDsgNRqaAXFNTXGkRf0Xvyp+76kLU8kax1j0/2GdbqhXxUgXDI8eWFbZD2uWb
xgkmsG6gaHEpPen03TktBpKZ2G5Ij8gCty1chSb6gg43/R4hqakbP21LtizY8i1ZkroYCYmpY7Ss
Ebe5ZiAE+JKljpU+JsjoxCG2otnQ1jXRtOfL7T0ZwcF64qMYkQE2ktLll5BVx3JK84hTEGOWKbhH
n1Z+eMAwl/47J7ixpG/yOq6c2Cfz7MFNqlgJ2zW1JUl7U0lBl6Do4VFCLi/6fAfO9qh+qUczbBr8
J2T7sQEXB78+xe8B8+aCOpF0Xwrvw8BbWRGl3Zqkz/KuQv5meadUHIt3WwOe8rptq/BynDsSYHve
uE8pv0K9oIr2rdSGzAguSg/FKDvtwx9h6BBIT/9PF3zlnKCLHWKgpxQkoq04c4BcL3ObXoksgMEQ
MNs1DnSTEuVo0chXO7c2/bleE/VBQwTxq+cgCEl07Jxyk0EkGdZx/JWMGsoenRDiXNZfzv0ivUoU
ajIgbfEO4TeYxOtkt/BCGuPlrf7s0FBhIEPwlKUt8sFLk3F7YZPPnOiBTCpUIkpISlEqBBSQzFG0
HCuSWapg7kNSR4GPtH7z2SmYbo9PdZTo+SkuKYr0MOXT2etJoyE7OhfpaN2Tyuln+kb7nt+cMfDG
7IVLUE7rmeBkrxGDyE15KEQwhZDtwdpDuH/+g3xHazE25HkDfUSPpH1X9U0+T0ErQq9v9lgofx+K
xhd7JnYKM4tWWGpux/T9QT5hrQm03N/UGib1BnwIqoz2SDRGXTcGAur755edIOeKOSHlDI+lc+J+
thC4jlMd1pv0mVRLWo+W87Mtj04gDGJB1syNGX4A6LUFhHITQBM1W3X9iyLWx2P2Sn1lRsmsRvaK
5cc3E45N+BOBUrL1ogbzuEUmtgmp0sIr8HeyeEENLCTHgJxX98hfDEAbO70xto6s+Q0akYUk4oIH
1PKo8iNzGzaSz4IXWXcoU20DoJ/zaAHDBo1lHwsOM+upEMF2uGjC6M4iQ6F7HFJlUrChNKakpPAR
Y83+9/FbX/UQs7emtdMMXEwzuVH928hj8sYZB2Axd+zAMUFAP3IqmP8QdzWBsCXVvVShgQSKCxQE
RaD2gzEcuW81hUk2R3xLBF3Xwx2MPk/fDQP+QhbEHT9fJ9KvflzMt4eBoZOMi/N5CQXObSVxhFoE
IzIrm+fbpexjxq8ZPf4p3kln5MjpvJwwu8DAzPr6jj4ZSkUcAv19gK+uggXbhPywcrnDdDMHyJzs
CCnEO/dxj4cD9BeEBMQL4BkqCzK7F3nw5dWytyWS057u+Q/U+MSBOSagUs/aPMo3B10kCv1FSLS3
BLrb2ojyHUIWSrYa2tHkMOzNJIhkq5R5EV4CH1IfnCwwC8trHnRjEkYPoraX+6XCI2QyZfMLricP
gUkKCYM4nOtQ8twp7vJyIJNq6SrB4AilzFr7XwFo6DsuQuB8LKW8pujoGcyDI58lPqOAY3nEcCU2
yon70e6Ul6yolrOD7UyPxwnud/ozhUNGeIdUT9ALN2s2Z9xjiMQFwyWSTW74qssqRvP+42DPMwx3
sn0NlZ3zXEerdfZf3HsQtTHoEI5KdiEXFWhXniwjfboo7VPyDpYbs3ijv3O/JLYLHAnJT0OdBFbB
o5vxAjdr3KLkDp1zRYJkJ4IFMR3+dNPvZUYUlISwKCKI875MQ4ebvw+avg8RLw2lUF7UoXvlX2Tu
8BIVFiJ1wwzGvIYHbKzzlAuYffMNsVroyUik8rZcBK/5pAmqouATuklYLtxhROltyH855lT4oxSA
2hHGpj7hL/nyA3+PvCt8r2xSIcvqK3zW1fsFcovjXMH/vGzaHXbPBQkugq+UWhZE/XODOkrMOsZu
zzmGa7mByvJmkwFqFKY4kiUP8Avcm58z43sJ9FEk2ybW3MxtpesTZAJOtBClbnci/GC8ECBwg9UQ
i6xfJBWA8GdVSSSi9XAogSE9VY8T/Qzdg5UH31OPlZgkbqBhVZYeCN80nvaYdeP1IcEcQ4aKqbtU
JPUcuL+rl88GaKdIu3ptue2s5V0XNm8G2Ix6R5hzNGNplLTdk+AlMEJmUQhCGAaadwh21zvgMkbX
JYJ6tkFDdOFluKmrNflX8CibQS+JSAr7thG2Zv7jBs8VlR9G0eaSV7oxt0z/Kzsw47xq/eqUI65v
05Dte1HwfJpuc0htEWv0tmJig55s8988JnxU0aESirPSl8UTeNsM2qF9ZXyRLQ7DDlDTWuTue9pr
stEf8N+63zXZvKaFuEL6jux+RqAsk6UKsMp3KOLLAGPZakofzFuim72d4TFJq9DTO+POsTDj3bvE
FBzH5HiQPjuyNgk2NaHK6cB+ZQKUIi27FqeEO7eU2Cpuu3s5bA/hwNT9DSC4ggAW53IuGb31PlhC
Jte348eHk27ek6IzCk1KbVbaLnMIKJes83kIjyfywi8dveQXQWT7LHmRn2UKJp7vqPHSLb1AXp5j
GgaEQ8S8+ozqBXZFcOnqinm3tc/EYDWODBliDvBVUoQOWsolFjoYRNnYR16ZVn2sXByzMrPk8slC
m0RdMs5jZk+Ld3VG1ilaPdWcaTbxxePoOfXj6GonWRMnh9G/oX6VfKTiXs/0W5NSt9DtIjqNDDgp
CwKDMXRrEWVV7tHq4bxV6LhjKXZPn+MNmgHkjLsBBK0nQjzW+HWAc1N9NasT8ksd4Vq7w/2eatvp
MLsO6I4nGg3thybVmP72PbAz+YtsBd15jYpHHYOlcYjWU+coGPgiaOYQ+OPJ8l8EzgmFbwXgLgVU
71TiDZQzUJeYlC6iOuQqTcVpz+eQy7L7SPTVge+M0C6RVH7SnOF8PAV6BPNRCa3d5aE0pdCYPm/r
kwPS05iPnJyd32UuJ2zYJynmjFNl4LHve1Ln7yJJuVABaivI8aPvtr118XfAT1PxWJ/LVgHyB6xl
f+LkoYUHzJ3/RKxDNTeO35Z4BK4IIfU25pMS8Q2Oq6P497+YfYbnaVaoC2Xt14TG1y7AcPzPzz8T
M83GxYNVuomQoC4hAIJR3DkSMLIbF05loAIyT8pO7wu3HmYvbW207nzikYQPFfSNgJWU6xJrfKbY
Be4qQFIifnmgbU+E3XeL61GVCZ8KvjVosMKnNCyxjhT/PMEfGBsyWwwxz1Bb9pisxGvmgOy0TU/R
3d2IDKVrxFxOor4KPVkO5ho+QNZGMuwHyiyXzecLsxZeCwMvWXUtThCoNPRELeJwj9cppzWCpUV8
y0RYrWJ6Lmf75u8Vb3N7TKyu6Cb4pnTWKhAf608fGgR6fgN4wDPZWnxL23QrdjAL12qwThXc6Gk0
4VRSqYMXlCbau1RYWL7jxmaJQiWbHphJsubsVZgQd7/4qC0AnMbmjn3WKk2XAQY72+RZGYUjLnG2
8ruEQvIh5FD02Do+nsL7+IeG6BDo1aXECPhjDbSDx3GhvwoDklcHR+UwXsgGDHJZU+Sg9KG2wmIU
ZbYBA3LTo98OSTC7Dq8kieQaj/FJDjzFzT6Y1CgiIYD8FR7gk9hXzCqQbf8zggKHX7kLj0sGLKbW
5li5jBnpR48smtDUGfuElPnWkvKmDk3hQhTWzfGLzLJhpnauy+658jiFOZBI1J0MeQ6r9CJKxWhC
b6Ui3P7waDGwEdNsWj9ST+/NJmcHhGFqRxbPNpSqUSO6Km4kdQ6n4oJsBCxVs4f1FsRJ9OSFuvuJ
64C6kxjPEnWM3H9i/SRrFIRler4Iv+GTEHWlVsn4MqJLfYYaIS2lqFVjZSFe8JBaP+8Yi94kbXBf
bwp0sd8DEJ6LHjtbmtuxDOv2W3HTNx+P+LSVkkVETFzH9BY6LZDMM+Iq7dvbBZEx6DF2PJXpIq3y
KyDqymsuM6laWd4+Dpwrs/9bLu9fiHU+xmeMumjCVGrTd1yBVZKLNd/LZIcsqoppucgdU2mSn0Ob
K52QSpyXywbSsS7xG8I3C19iQUep3Y168El+FPhiDt1SCEj7NA5okAqVzoLHbmGj1wIIFgnr0Hxa
0jfWfihENI8CjF3+UEMkVw6e4QkjcAJWx7tvLzcvxrpGcRnduOd55qRiKS5RyjmeXkY7sMV+KvBd
Qo/8Uqt3XWtaRZekcJfAtJq9YVXbzoIE9+Aupk1dpOiDz/o0bj8xImIdttTdnKJOLCZZyPYvifeK
NCgmHKVZPAhdcCLyt6MblhnVAxCZGjA0ZGqtVt196arwU5S+HQzYm9F2I5He8XQbVCPZjLxm390O
Ne2yw+MAzXYdtC9WMI6Oe8JPn1UNMR56JpFSXSvFPak6xeG7bhYmBBjZmoFTps1Lho/8UVeN5Elv
Q/EFOsWS7dFSvECT+RNmtjHt25+BGcCbvlV+bdPX32s3yR9tmyy6KJJQSt1qowBaJLBz2MiB92Lw
v0qNnunQUX0rzVwoj5bfZ67H+RUR1TiPtXUJ5H5OxwSUZFfzQ/prPI+/CITpEfnbZ4whmyBEqBrZ
DcEtEi0lzh/RFw/giIFwLtjSYgXOqYhjPyvODg/Axh9wSfyB3BXCxdfuqqlCAAaZT4kOPzRapKuL
GvkbzfrCQNRVSpYGvJZQM3zpKfA1wxX2AcJEJrI7OdVkc9TNzZ1sB5z6i1vmZgVCnmMVAkC/vQIt
TxFQMPJpufMvqdtkDMpUFJcs1DTyctaJkXMtwsm/Cq79I7ERb7QNqo0eYilBhUNHUjt1Y0S8yt18
8WWaGRNEM/BUoSYyBePgBud11bteZkDx+ESNYcODyyBqJ4ulSavK27immE6IW6qlPFvhcl5IuAEh
CSNZyOgi75qGU7JM2tiy7cW5O3xaidSu4cgWHmdyMifqcEIZnLUBkQMJLWdr26RVsUxxocQ0DpFV
pXQv8eICOjZQpHek3Dt7D7Y49Xx0BV2NhIVMFgpAYLjsZASLWzhHVZ9H4RMA9AvHcUadJoqYaCUV
GuOfDnA+oN47ZBwPqvk2okjhBioD2p86kQSjgV3miHmWYTerP07iaU7roKz5YJIJHwC7yYH9M2Th
vJOmzH30gik3+zuYvxekbCBXBQ8RASBsPYvbcQygLPi85OyYzhqPEwVq0ThB6NX0czN3RltSAhuQ
N/rjLOwVH1GZiM+k6sDKYPyAAyv/1dr36gBhPn1zyDs3Sq0JoC0V0UdLzhssWMvMyLZfaNrLdhkr
JjiQYJOhNJyZib6V2vK+3Fv1m9xBKXBxSjlc5VygbpotiXS2VwUfoaascul+HNZyIH9nuUSm8u9R
8/8VDabZapjwtHA3Ge19+n3f8fxbNaqvkpaG+vpghxrFwjjriHTUB3DziPor3UCbZVzIADAugG4t
iFqtcqUVG03ZCmHkVK+IDmM8tAS2weMko1jAdwT9BGNBPDtTRXNfFCOMhh9LoobBOUZNof2VBD/x
oyPHYenZ2Dwkqs0xNwgcud1xXEOvVgfYs0sOVuh+E+ZYgDQUjz4xg1uwyl/tYXdNMGbSuM6VibB/
vS3PblMVLrFja1G1o1Sn4/MQdUdNqIpMocFIWwW236VNGnhYlWfIgw87/+jWvFYApBPpKDw1GZmM
fmcXb8nI5C6mmq4Yacio2mK3CW7XxKxwiOP/wlyNlsqrnFZIj0k+BVQ1yW/t18iXfhFTnadcOtwz
WKpa9EkiSjkpf9eyb6g8eHohpduCgg6NrcVxQR31kRuVJxyUg5YTLyzWp2CH461Imaid2jAJI8PQ
GTHB0maU9mY+nvfbHXV4zDEjgNsPOkRqluB7oOL7WvRw5HlGTAvi2E+JAPy40WcRAEJeQN1CADHT
2dtXYfQ1kH/xGxBzlSpRSXomznnQqP6ND+2+7I/ZDUUvuqGtNrxHt1JPV9ek2XwKFUyboJCyVLuZ
+9TkWoJzeo8GLW9NQ2V2doXaKshBEtDh8OY3gcNjDmDddJ1uikZWqtdlDTf49y8M/whzmEoOxRvC
OO4+6vQKxJnbGDytcMVz1GCSPgCO0/Z1c4FuoWWysqpdvew71R+MZFwS/bG19yXRvY2zXIIJAfbB
xXP0K4hQvCXAxeJ2p7l8HZA9FlZaeHfckRH5+Fi8A+JXsyD8S4EIXzP8lcgz0u4Lere9tt9l9zXM
PBU7t57EWZtlavLkKoXRYjcdPonZpaIGfkJIOhzu6iXZTYVunI4mhp6Dui+rPDxSPT+2uwSpEHaj
nLTcwuIcrMunAkYSv7qrrK43DYCDQGMu5n/t3QSQT6SYEW9jxaVQ9o4lxvu8Rt4Y4qVD9pYZVKWM
wnljVXO9h3vXfViLSYoshcMVAGwrHQ2KplEvTmSy5pUmdHHCUTSifaRlFrunND1KA3iz6oHf2JGE
MurC1Dwj7tX24oD+cWOTNHWFM3y6PnYmV/F+F/9NPHSkauBdUW0xxH/16H0qblJTX5vsOYEVUQAu
jJEzZOmiBQ3taTYMCi5dpQZs4EMSJDiC2CbeSq/LBjAMsYl6mTTt3lx9sc6Ye4SAg1TK1y7OL5in
aUQMEZJLn1XRoTxFLAYI203Mu9hJGdHjHODCyQjYWVE5+owl6J4kVynXR/Ar2LMft7mqPmxS8XJT
A1PocOHaY68bBrd21rR3ZvmnH6RvkubNP1RqeUf8eFB88TeQmf2NGl/7WaRVY7jvYjk1em9zeNsH
GYAB+6IH1sDC0OwFjEU6GWCwnZnOE9mAZeo3GJP3Ri7apvGxpdIeSBiBEg/pNXLV3H/BB8utufhK
6+jjX1IGsH2yNH1P57PlDicUPqNV7xCHddEo/ov19HT5h7iWpPib0NYh0I4oVJBwKSGaKSSq35yx
j0Ygd7rJYlLk42HJqun9LAjLHGx3k4bPgPlUZD3mQfU4aamacdU+IOKbx1LDFlLnMjwGr5cmL/i4
7oYQSgjnzwFCRQeyVwJinjcC3m8f5JAn7QMYbaFxLil97JKZRGLLt99zQLcJZjDgLaHjgsLWZELk
wSyr0cIfcRV1x2vEH+E/b9N1tnAnHs5A8YKagkmeHdPTyXTJdu+/knljuvdoBUwM49/KV0oV5C05
rCW2gMaEf7NegiVFyvX/8M5pq2QGUNgfNEapAmtoMTUKtI0De18PjioGIR4PMEgGjL6sEuyCtvK1
Tav/AI3HLe9ZxH7rQN2AG8D5G3Z6bI4X42mOOA6DG+4prJOFtEQu0/LA5+nFw/5DVKlyp4Uhekpp
0kvfQ+wsykyy7FS8AK0VtH3fKuCLW/g/11eDHOLjZrX2eTZayd7EDDrv0+OJCRvLogxDbp32HwE3
3u8m6eb87qUl0/fwQUy7pX230y+afxc3q6EkQLSYQXkA4Zw5nf0chygvWcOMW/0VSvQqVTqYat+q
qpFjgwlFA4f8EqlMv+QycaMJnY5XHKh1U0BZT67uTwRIkLzTEG252mIFvk06X8j0BqiGUNyG7UNN
DwzxGjG0FTAtemKx3vT0dR46sPWTnByWk2+5VQ6967aSMZZW+usHf7RSktTYnh7ASQKw8H19Vj+L
UgiwFVM/TpzUW72cofkz9ne6lHun1aYU3SxvYN4wzENqS5KhTWXpCrbQcFiv8a/YPMbHqRqCLg2g
GGsYDEivkljyYIIfc/952ymFVyO+zq9BuvZL5/LzkRynukaLIvUukVVwc4G7ItwiKaXa8bipYGrw
OBCsViBU5X1aYHN5zxsViHc3jFhEY9dqTPKWf3c624NojVm+W+sKA0DA4YC/R2G34vn7CE2EV4dN
m8Jg4dYMdjQAATQr80CidvqMcOa2gA+lXQTx0E1qkiWQ6f7Zg6d04x5PNwblqsQA9nRthvveSlq1
tO91ixKIE52Pb5CycHPoG+p1nOH2+q0RxyLDLg4w74wlCpnGTAGRThJGbAfCOBXoUCbNuHM1RYKL
HzTreFuSiq8V/EI7VQdFHqem4CBQFPWE7umFlbebm04Zlx4qzj6es6kxo/kBLv79RAZ7Q7T2RmKl
vLCwdzck85qw8U+PiJfP2IWaLQQ6CI0K9jmyfbQ4FalBqpZzN3+PbpAf3g4ije0rzmXCVxHDhtT5
pQXrf3cDXw9fPOpv1GFmOkJm35Phny4NixKXnimc+POEtVQI6Rii94Ws7NA9zyPx/1rzzSfXeUZ8
5xRJMQINWBgy3z6LPECP6zNbIrItudSFrsDVrKJP/VGLQOUe9svwhGjffSlFA9VEg/ovpfWhnByt
rQ5lJl8z3QWSZvaYl22wKYH4kGiXsCt5djE2BDltWyiFEJbMDR+INGAAQQeBLErVRAg4uy6y+iLp
6JicdZ+AJ+678avaiGYyPxtjDVzlKzmz0tVwSkiyDkXUfJZPNgUN9+/flFWG3OvgsgEd6ZVrJyxP
R24N1YCvSXXRYQC85S9+WKlF7Ke7dXEHfLGhOSsfXnAHSmaVn8rmmPmgn2F+TALOOuPh8opXic0U
E42gNEJ+btACWeuYU0Mppw6ZiXBhFS1GJe7EIWD8vMq7H33HmYFgcd1+ssdhMFeuUejU9LW3qa2D
22PX3M6pPQgtsxprwpRW7ErSNmyjhz63lBO+mmeCXKNjeVmNqccmiIHNAtYO+jligSOzD/QDhKWA
cwtvVA0WdjHHBfYuc/v/1/B9nEcTTsuvql6MbZJh6v6xlwy+Y3H3XYtU5tROmb9EADrEkQIGJM6N
4/kuu5nGLsyN89lK7pQ/EkQz1w8NYrmfGqCJ5eXStvtnQgG6HAMAr/UnnTss5UUcCgRuUTWONbO1
ewF7DL4rJJQIu3PqbOnF4SQWzSZXyMcNN2us7SS5e0mXQ57VGVpHbTq2lvkzhxObI83pbtvHoDm5
wdU9oPeFrAJU8kdfu8ecHY0RgiWFyxnKk+Mg1h5jk4XTMFvcywLQoilYfdp4VsuxDvZiecw0JRUN
fTOJl+oGp2WrcpNI+qSkPEEr7A30kbbBmYpArNZDNdbQYe/WKGQeeaPeHf9l2fxJZJV76U6Z2BMd
YXpe8GSoB6HzHmd05FCXDU0gF7RfZwpzrV1RX44f+s1A4TOyidEbY13ERMkDfcqt67DRNhYimvy6
vMhAhCYPN6sDt9muOFs4mB7bDau9LfNgCcJCCL+MMLb5TvDaYQqu8y2cw3vBCWgqJ9ZMiS7mW7tT
coE0fGTzM6mNzQnCJQM4du2SgPvP9UfHX/1fD7oPFaep8foY/mFvJf8EauL7jRs9rfE7jto32syq
5pFpvDPoNFigNrir/L9ML6MvWn8FKEkn2ji1aFDBIjDfIcYJExclXNhDzPasULdMa5hEYdAN0TXo
PMYFlFdVy5JZg+65PMmTpTQQZ5jUf2/Yl9b0oNcbc8zMEeEflCyfPf/7/Jp1BBgM69uFIywkkAbK
EOSwHZ9b7wskYK7vBguCRp0CMVHO+oc2bi179wOYjxa8K0rvHVhrPuUsvnwAAc9Md3ojt8Gu9Iri
CXrHqwLv84Fxzk+rVLXpqK7bqvpSjWPuBjf36Yl0qgQP31D5h/IqFdFY77EJqRI49naATsXwdUuB
J0whSatLXgCKgI2HprHErLnvBhg6mJcuXozs2ElJfDEjzxv3wPWTebwPy+v0JDRsdsRPOf5fqheU
NCTqrvyhrPz3ymo9ynA1j/DyiKIP9IfjSa2BwjY48Wprrezi3bYVx+1dXb+UJCDHArko86znvBDC
Pz9EU5jRTlq/Onpxky4j5CBz+6K7nNMpq0fUloGWLBuQIpUQX8mmoxinuHGrsIx4qyghnxugZRyd
pJ3p/GuZ5ZCWvJv5hjWHf7ZJ8630XSVHcOwO+i58oPPMRfT6UXd7DqG6XTyUwEJCm29PeXf8y5G9
h5PttM48r1dxv3gWum2RTfWFDNeG3EkB0ZSQ8VqwSs0ZNIbSXoEDIV3Mbxc4WzL0ckjAfdVvHjyi
+yST9xUd6sD7MxcJhsgsgAMce37IgnglMs/EtQjsjd0oigP5emrYAVxMinAmgUYoK1+lm+uKDA9q
RPupq214YIInnl/TL50wyhTSovSZuwFdlDo+yNXELmlWwnOF06XSAHAmf1fsxXSXKxSpZq58GHfu
/GMJEdn/IfnRrE29oYzvhDTyplwfdfsblXlUaiOvuXvwowTAfOwqbYIffkwxb9g+PVUX5bN/Pyco
0hsWG4dhDPimrzlrcIZRP87kHFfbgZOw8Ioa7kJGJNYjhih3+1xpQHYWw/ssg5d5OHi34ZislNbk
EhtUXn1DYqM2i5PF2A+FqYIU/kBS2+n8ESbA+3nZRIPMhek3yuYTj4g3d5HTdY18aomx9QlgTHcF
QKJ1Poj1ZZ7NtQp61+aRdRfsuZWMI2W3AJNrbL7n4QDUCmmlvPi9JjrWKJMsZYY7G6hP5eoDl5+3
syL8srE3H/aDqQxTHRluUREIYf32r/k/Bdl792jWy2ZyJq13U+8p7yDcIRaNveP8rNr5BsaYZ2Q5
rCfoMqKRBGWfiq+LDqP7yk2y0jCu5wwx8/4QojpDZWqQ10LzVSKlxrDG4xTrnnu07liKzUJ+Si82
LzBK+i+pbIik7n1pCF/L3+KvH+ppPR+JsbSqdHtpBtciR2udAfMCQUJt9kBHhi+vczib1/1WyPh5
ORzTUNMSyeG1qib5gAb8UaiJnqSnnExLx+1SqL42zZQWXYCg3Qpj2Q==
`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2013"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
hiyxVv+1cLTVAcBqGEI0M/QVMwcoi7O3fFEoQ/JGHvx5CczBxSyM7p6atp7ewQDrCePHbnCQDVk0
L3qofn0m6Q==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
U4gTO9Ke4CzctwTrUJEcDgWNYNkCJ4JvJoGwQ8Tncif7Yh49fALLYG5jd233dmCu21NcRCmg1OqE
K/DYZhfAO1Vr8K2Ha4pcN90B6aAZwlQhxCN6RqgvuCRMvUsbmjaKWLTpAEWBogapz0bUAMl7xZ3Z
P8Ju1DrNIH39v1T+JkE=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
AmX3PGQtx8Ucs5sZmldiMEr0pEiBFFVg11Bs2nKW8hsZovJL/WMJ16509Eer4KR59Qi0xk/XM8DX
KBvShCvBmqdPCjW0vYBNeu7iviSvJSjQJdeWKkgwfjODXIQvWB7YNjqyQ8wVwGjdM/82GQ8b2U8n
JUgAR4eU3a1hbDDtuypo9O9jFTlFZsVyXJ9wZNbPSCI9jUKGxwI68pRcZl4cLaF30eGyWBT7E6JV
CITyXSuUqDKnH6P7D3N/9hPXjJtXfYDcsG9fvTwR5sZgMrdYTYJ7+HP1n39EfH0VYJIp6bSnzUbE
xhAJLo7ZK3PORFaRP6aq/FGpMdQw5S8vWs/X+g==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
pBQTQ+Yw+JRAr9k3C7cFf3gyPYLP6sXq1jGFY+672ZrEX3Y2eG6j0w03wiVk1r+yY/iRzuvaXqb/
a8/EDG7Lf9YY+XZT7svikUKx3aMkv7oODgivYwbNNJlUBU6R1xKFjyNXYsrph8oVXr25G/3oyCl1
Y2dVBs811KWCRGNTVKc=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
KVQMgpDUHrR6wierTeR0rkX+xbEcjXbzK4MeJ7w9SHvS29lBe+HYOkqAQ5SJIRx8xUFthDCTQgAE
/92daIxY3pJp0tM6G2y6/Yf0IFcNkuZUojvfTbo0CX6yuDq474qdMIvirE0eShHS/aZJ7a1089dz
SoM9uNCOAMPVyZaKq7bDHDW/d6YkFWnFhp6Qv4FrOZLeVeqW6yzHChT8JAWzW+wqWkl5Wp1jOCyk
sxRgz65kkssEzjvj0x4nf1H/dnyWbHXVpMKww1wyd9klDUj1BdyUG6YmrWbhfrge50A/6AzJGbeZ
jqPxkQrdbY7hhxRzchro2biCUi1Nu6haBTukEg==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 37888)
`protect data_block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`protect end_protected
|
entity implicit is
end entity;
architecture test of implicit is
signal x : integer;
begin
process is
begin
assert x'delayed = 4; -- OK
assert x'delayed(1 ns) = 5; -- OK
assert x'delayed(5) = 1; -- Error
assert x'stable; -- OK
assert x'stable(1 ns); -- OK
assert x'delayed'stable(2 ns); -- OK
assert x'transaction = '1'; -- OK
assert x'quiet; -- OK
assert x'quiet(5 ns); -- OK
end process;
end architecture;
|
----------------------------------------
-- Main Processor : IITB-RISC
-- Author : Titto Thomas, Sainath, Anakha
-- Date : 9/3/2014
----------------------------------------
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
entity pipeline_RISC is
port (
clock, reset : in std_logic; -- clock and reset signals
InstrData, InstrAddress, DataData, DataAddress : in std_logic_vector(15 downto 0); -- External data and address for programing
mode, InstrWrite, DataWrite : in std_logic -- Program / Execution mode
);
end pipeline_RISC;
architecture behave of pipeline_RISC is
component Datapath is
port (
clock, reset : in std_logic; -- clock and reset signals
ExDData, ExDAddress : in std_logic_vector(15 downto 0); -- External data and address for programing
mode, ExDWrite : in std_logic; -- Program / Execution mode
RF_Write : in std_logic; -- Reg File write enable
MemRead, MemWrite : in std_logic; -- Read / Write from / to the data memory
OpSel, ALUc, ALUz, Cen, Zen,ALUOp : in std_logic; -- ALU & Flag block signals
M1_Sel, M2_Sel, M5_Sel, M3_Sel : in std_logic; -- Mux select lines
M4_Sel, M6_Sel, M7_Sel, M8_Sel, M9_Sel : in std_logic_vector(1 downto 0); -- Mux select lines
Instruction : out std_logic_vector(15 downto 0); -- Instruction to the CP
ExIWrite : in std_logic; -- Write to Instruction Mem
ExIData, ExIAddress : in std_logic_vector(15 downto 0) -- External instruction and address for programing
);
end component;
component ControlPath is
port (
clock, reset : in std_logic; -- clock and reset signals
RF_Write : out std_logic; -- Reg File write enable
MemRead, MemWrite : out std_logic; -- Read / Write from / to the data memory
OpSel, ALUc, ALUz, Cen, Zen, ALUop : out std_logic; -- ALU & Flag block signals
M1_Sel, M2_Sel, M5_Sel, M3_Sel : out std_logic; -- Mux select lines
M4_Sel, M6_Sel, M7_Sel, M8_Sel, M9_Sel : out std_logic_vector(1 downto 0); -- Mux select lines
Instruction : in std_logic_vector(15 downto 0) -- Instruction to the CP
);
end component;
signal RF_Write, MemRead, MemWrite, OpSel, ALUc, ALUz, Cen, Zen,ALUOp, M1_Sel, M2_Sel, M5_Sel, M3_Sel : std_logic;
signal M4_Sel, M6_Sel, M7_Sel, M8_Sel, M9_Sel : std_logic_vector(1 downto 0);
signal Instruction : std_logic_vector(15 downto 0);
begin -- behave
DP : Datapath port map (clock, reset, DataData, DataAddress, mode, DataWrite, RF_Write, MemRead, MemWrite, OpSel, ALUc, ALUz, Cen, Zen, ALUOp, M1_Sel, M2_Sel, M5_Sel, M3_Sel, M4_Sel, M6_Sel, M7_Sel, M8_Sel, M9_Sel, Instruction, InstrWrite, InstrData, InstrAddress);
CP : ControlPath port map (clock, reset, RF_Write, MemRead, MemWrite, OpSel, ALUc, ALUz, Cen, Zen, ALUop, M1_Sel, M2_Sel, M5_Sel, M3_Sel, M4_Sel, M6_Sel, M7_Sel, M8_Sel, M9_Sel, Instruction);
end behave;
|
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;
entity divider is
GENERIC (
N: positive := 60
);
Port ( clk : in STD_LOGIC;
tc : out STD_LOGIC);
end divider;
architecture divider_architecture of divider is
signal cpt : STD_LOGIC_VECTOR (3 downto 0);
begin
count: process(clk)
begin
if rising_edge(clk) then
if cpt < N -1 then
cpt <= cpt + 1;
else
cpt <= (others => '0');
end if;
end if;
end process count;
remainder: process(cpt)
begin
if cpt = N-1 then
tc <= '1';
else
tc <= '0';
end if;
end process remainder;
end divider_architecture;
|
-- Copyright (C) 2001 Bill Billowitch.
-- Some of the work to develop this test suite was done with Air Force
-- support. The Air Force and Bill Billowitch assume no
-- responsibilities for this software.
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: tc2433.vhd,v 1.2 2001-10-26 16:30:18 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c07s03b02x02p01n01i02433ent IS
END c07s03b02x02p01n01i02433ent;
ARCHITECTURE c07s03b02x02p01n01i02433arch OF c07s03b02x02p01n01i02433ent IS
subtype BV1 is BIT_VECTOR (2 downto 1);
constant C18 : BV1 := (3 => '1', others => '0');
-- Failure_here
BEGIN
TESTING: PROCESS
BEGIN
assert FALSE
report "***FAILED TEST: c07s03b02x02p01n01i02433 - Expression of each element association must be of the element type."
severity ERROR;
wait;
END PROCESS TESTING;
END c07s03b02x02p01n01i02433arch;
|
-- Copyright (C) 2001 Bill Billowitch.
-- Some of the work to develop this test suite was done with Air Force
-- support. The Air Force and Bill Billowitch assume no
-- responsibilities for this software.
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: tc2433.vhd,v 1.2 2001-10-26 16:30:18 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c07s03b02x02p01n01i02433ent IS
END c07s03b02x02p01n01i02433ent;
ARCHITECTURE c07s03b02x02p01n01i02433arch OF c07s03b02x02p01n01i02433ent IS
subtype BV1 is BIT_VECTOR (2 downto 1);
constant C18 : BV1 := (3 => '1', others => '0');
-- Failure_here
BEGIN
TESTING: PROCESS
BEGIN
assert FALSE
report "***FAILED TEST: c07s03b02x02p01n01i02433 - Expression of each element association must be of the element type."
severity ERROR;
wait;
END PROCESS TESTING;
END c07s03b02x02p01n01i02433arch;
|
-- Copyright (C) 2001 Bill Billowitch.
-- Some of the work to develop this test suite was done with Air Force
-- support. The Air Force and Bill Billowitch assume no
-- responsibilities for this software.
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: tc2433.vhd,v 1.2 2001-10-26 16:30:18 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c07s03b02x02p01n01i02433ent IS
END c07s03b02x02p01n01i02433ent;
ARCHITECTURE c07s03b02x02p01n01i02433arch OF c07s03b02x02p01n01i02433ent IS
subtype BV1 is BIT_VECTOR (2 downto 1);
constant C18 : BV1 := (3 => '1', others => '0');
-- Failure_here
BEGIN
TESTING: PROCESS
BEGIN
assert FALSE
report "***FAILED TEST: c07s03b02x02p01n01i02433 - Expression of each element association must be of the element type."
severity ERROR;
wait;
END PROCESS TESTING;
END c07s03b02x02p01n01i02433arch;
|
-- =================================================================================
-- // Name: Bryan Mason, James Batcheler, & Brad McMahon
-- // File: GPU.vhd
-- // Date: 12/9/2004
-- // Description: Main GPU Module
-- // Class: CSE 378
-- =================================================================================
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;
entity GPU is
port(
iClk25MHZ : in std_logic;
iPaused : in std_logic;
iScore : std_logic_vector(15 downto 0);
oBlockAddr : out std_logic_vector(4 downto 0); --Holds static blocks
iBlockData : in std_logic_vector(15 downto 0); --Holds each row
iBlockY : in std_logic_vector(4 downto 0); --top edge of moving block
iBlockX : in std_logic_vector(3 downto 0); --left edge of moving block
iBlockReg : in std_logic_vector(15 downto 0); --encoded dynamic block memory
iClr : in std_logic;
iDiag : in std_logic;
oRGB : out std_logic_vector(2 downto 0);
oVSync : out std_logic;
oHSync : out std_logic);
end GPU;
architecture Behavioral of GPU is
Signal tRGB : std_logic_vector(2 downto 0);
component RGB_Controller is
Port ( oRGB : out std_logic_vector(2 downto 0);
iClk : in std_logic;
iClr : in std_logic;
iPaused : in std_logic;
iBlock: in std_logic_vector(15 downto 0); --Block rows fom Block RAM
oBlockAddr : out std_logic_vector(4 downto 0); --address for block ram
iBlockY : in std_logic_vector(4 downto 0); --encoded Y
iBlockX : in std_logic_vector(3 downto 0); --encoded X
iBlockReg : in std_logic_vector(15 downto 0));
end component;
component VGA is
Port ( oRGB : out std_logic_vector(2 downto 0);
oVSync : out std_logic;
oHSync : out std_logic;
iClk : in std_logic;
iDiag : in std_logic;
iClr : in std_logic;
iRGB : in std_logic_vector(2 downto 0));
end component;
begin
RGB00 : RGB_controller port map(
oRGB => tRGB,
iClk => iClk25Mhz,
iClr => iClr,
iPaused => iPaused,
iBlock => iBlockData,
oBlockAddr => oBlockAddr,
iBlockX => iBlockX,
iBlockY => iBlockY,
iBlockReg => iBlockReg);
VGA00 : VGA port map(
oRGB => oRGB,
iRGB => tRGB,
iDiag => iDiag,
oVSync => oVSync,
oHSync => oHSync,
iClk => iClk25Mhz,
iClr => iClr);
end Behavioral;
|
----------------------------------------------------------------------------------
-- Company:
-- Engineer: Martin Strasser, Ning Chen
--
-- Create Date: 20:59:47 06/19/2008
-- Design Name:
-- Module Name: idea_com_inner - Behavioral
-- Project Name:
-- Target Devices:
-- Tool versions:
-- Description:
--
-- Dependencies:
--
-- Revision:
-- Revision 1.00 - File Created
-- Revision 2.00 (nnc) - Key can be programmed
-- Revision 2.01 (nnc) - Add loopback mode for cable testing
----------------------------------------------------------------------------------
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;
---- Uncomment the following library declaration if instantiating
---- any Xilinx primitives in this code.
--library UNISIM;
--use UNISIM.VComponents.all;
entity idea_com_inner is
Port ( Clk : in STD_LOGIC;
Reset : in STD_LOGIC;
RxD : in STD_LOGIC;
TxD : out STD_LOGIC;
LEDs : out STD_LOGIC_VECTOR (7 downto 0));
end idea_com_inner;
architecture Behavioral of idea_com_inner is
-- The UART for the communication with the PC:
component uart
port ( mclkx16 : in STD_LOGIC;
reset : in STD_LOGIC;
read : in STD_LOGIC;
write : in STD_LOGIC;
--data : inout STD_LOGIC_VECTOR (7 downto 0);
rxdata : out STD_LOGIC_VECTOR (7 downto 0);
txdata : in STD_LOGIC_VECTOR (7 downto 0);
sin : in STD_LOGIC;
sout : out STD_LOGIC;
rxrdy : out STD_LOGIC;
txrdy : out STD_LOGIC;
parity_error : out STD_LOGIC;
framing_error : out STD_LOGIC;
overrun : out STD_LOGIC );
end component;
--component idea_hw
-- Port ( CLK : in STD_LOGIC;
-- START : in STD_LOGIC;
-- READY : out STD_LOGIC;
-- KEY : in STD_LOGIC_VECTOR (127 downto 0);
-- X1 : in STD_LOGIC_VECTOR (15 downto 0);
-- X2 : in STD_LOGIC_VECTOR (15 downto 0);
-- X3 : in STD_LOGIC_VECTOR (15 downto 0);
-- X4 : in STD_LOGIC_VECTOR (15 downto 0);
-- Y1 : out STD_LOGIC_VECTOR (15 downto 0);
-- Y2 : out STD_LOGIC_VECTOR (15 downto 0);
-- Y3 : out STD_LOGIC_VECTOR (15 downto 0);
-- Y4 : out STD_LOGIC_VECTOR (15 downto 0));
--end component;
COMPONENT idea_single
PORT(
KEY : IN std_logic_vector(127 downto 0);
clk_in : IN std_logic;
ready_out : OUT std_logic;
start_in : IN std_logic;
X1 : IN std_logic_vector(15 downto 0);
X2 : IN std_logic_vector(15 downto 0);
X3 : IN std_logic_vector(15 downto 0);
X4 : IN std_logic_vector(15 downto 0);
Y1 : OUT std_logic_vector(15 downto 0);
Y2 : OUT std_logic_vector(15 downto 0);
Y3 : OUT std_logic_vector(15 downto 0);
Y4 : OUT std_logic_vector(15 downto 0)
);
END COMPONENT;
COMPONENT multiplexer
PORT(
A : IN std_logic_vector(15 downto 0);
B : IN std_logic_vector(15 downto 0);
O : OUT std_logic_vector(15 downto 0);
s : IN std_logic
);
END COMPONENT;
-- All used signals for the top level are defined here:
signal read : STD_LOGIC := '1';
signal write : STD_LOGIC := '1';
signal rxrdy, txrdy : STD_LOGIC := '1';
signal parity_error, framing_error, overrun : STD_LOGIC := '0';
signal data : STD_LOGIC_VECTOR(7 downto 0) := "00000000";
signal txdata : STD_LOGIC_VECTOR(7 downto 0) := "00000000";
signal start_idea, ready_idea : STD_LOGIC := '0';
signal x1, x2, x3, x4 : STD_LOGIC_VECTOR (15 downto 0) := "0000000000000000";
signal y1, y2, y3, y4 : STD_LOGIC_VECTOR (15 downto 0) := "0000000000000000";
signal key : STD_logic_vector (127 downto 0) := x"00000000000000000000000000000000";
type STATE_TYPE is ( IDLE, WAIT_FOR_DATA, RECEIVED_BYTE, READ_BYTE,
WAIT_FOR_RXRDY_0, WAIT_FOR_IDEA_TO_DEACTIVATE_READY,
WAIT_FOR_IDEA_TO_COMPLETE,
WRITE_BYTE, WRITE_BYTE_NOW, WRITE_BYTE_ACK,
WAIT_FOR_TXRDY_1, LOOPBACK_MODE );
signal state : STATE_TYPE := IDLE;
signal byte_cntr : std_logic_vector(4 downto 0) := "00000";
signal loopback_select : std_logic := '0';
signal z1, z2, z3, z4 : STD_LOGIC_VECTOR (15 downto 0) := "0000000000000000";
signal led_count_sig : std_logic_vector(7 downto 0) := "00000000";
signal counter_sig : std_logic_vector(18 downto 0) := (others => '0');
begin
-- The UART module
uart1: uart port map( Clk, Reset,
read, write, data, txdata,
RxD, TxD,
rxrdy, txrdy,
parity_error, framing_error, overrun );
-- The encryption algorithm
-- idea1: idea_hw port map( clk, start_idea, ready_idea, key, x1, x2, x3, x4, y1, y2, y3, y4);
uut: idea_single PORT MAP (
KEY => key,
clk_in => Clk,
ready_out => ready_idea,
start_in => start_idea,
X1 => x1,
X2 => x2,
X3 => x3,
X4 => x4,
Y1 => y1,
Y2 => y2,
Y3 => y3,
Y4 => y4
);
-- mux for loopback mode
mux1 : multiplexer port map(
A => y1,
B => x1,
S => loopback_select,
O => z1);
mux2 : multiplexer port map(
A => y2,
B => x2,
S => loopback_select,
O => z2);
mux3 : multiplexer port map(
A => y3,
B => X3,
S => loopback_select,
O => z3);
mux4 : multiplexer port map(
A => y4,
B => X4,
S => loopback_select,
O => z4);
-- The state machine for the communication:
process ( Clk )
begin
if ( Clk'event and Clk='1' ) then
if ( Reset = '1' ) then
state <= IDLE;
byte_cntr <= "00000";
read <= '1';
write <= '1';
--LEDs <= "00000000";
else
if ( state = IDLE ) then
-- Initial state
state <= WAIT_FOR_DATA;
byte_cntr <= "00000";
elsif ( state = WAIT_FOR_DATA ) then
write <= '1';
-- Waiting for incoming data.
if ( rxrdy = '1' ) then
-- There is a byte at the receiver!
state <= RECEIVED_BYTE;
end if;
elsif ( state = RECEIVED_BYTE ) then
-- The UART signalizes, that there
-- is a new byte to be read!
read <= '0';
--LEDs(3) <= '0';
state <= READ_BYTE;
elsif ( state = READ_BYTE ) then
-- Read the byte and set the
-- right input registers of the
-- IDEA block.
--LEDs(0) <= framing_error;
--LEDs(1) <= parity_error;
--LEDs(2) <= overrun;
byte_cntr <= byte_cntr+"00001";
if ( byte_cntr = "00000" ) then
x1(7 downto 0) <= data;
elsif ( byte_cntr = "00001" ) then
x1(15 downto 8) <= data;
elsif ( byte_cntr = "00010" ) then
x2(7 downto 0) <= data;
elsif ( byte_cntr = "00011" ) then
x2(15 downto 8) <= data;
elsif ( byte_cntr = "00100" ) then
x3(7 downto 0) <= data;
elsif ( byte_cntr = "00101" ) then
x3(15 downto 8) <= data;
elsif ( byte_cntr = "00110" ) then
x4(7 downto 0) <= data;
elsif ( byte_cntr = "00111" ) then
x4(15 downto 8) <= data;
elsif ( byte_cntr = "01000" ) then
key(7 downto 0) <= data;
elsif ( byte_cntr = "01001" ) then
key(15 downto 8) <= data;
elsif ( byte_cntr = "01010" ) then
key(23 downto 16) <= data;
elsif ( byte_cntr = "01011" ) then
key(31 downto 24) <= data;
elsif ( byte_cntr = "01100" ) then
key(39 downto 32) <= data;
elsif ( byte_cntr = "01101" ) then
key(47 downto 40) <= data;
elsif ( byte_cntr = "01110" ) then
key(55 downto 48) <= data;
elsif ( byte_cntr = "01111" ) then
key(63 downto 56) <= data;
elsif ( byte_cntr = "10000" ) then
key(71 downto 64) <= data;
elsif ( byte_cntr = "10001" ) then
key(79 downto 72) <= data;
elsif ( byte_cntr = "10010" ) then
key(87 downto 80) <= data;
elsif ( byte_cntr = "10011" ) then
key(95 downto 88) <= data;
elsif ( byte_cntr = "10100" ) then
key(103 downto 96) <= data;
elsif ( byte_cntr = "10101" ) then
key(111 downto 104) <= data;
elsif ( byte_cntr = "10110" ) then
key(119 downto 112) <= data;
elsif ( byte_cntr = "10111" ) then
key(127 downto 120) <= data;
end if;
read <= '1';
state <= WAIT_FOR_RXRDY_0;
elsif ( state = WAIT_FOR_RXRDY_0 ) then
-- Wait until the UART has acknowledged
-- that the data has been read.
if ( rxrdy = '0' ) then
if ( byte_cntr = "11000" ) then
-- add loopback mode
if (key = X"FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF") then
state <= LOOPBACK_MODE;
loopback_select <= '1';
else
start_idea <= '1';
state <= WAIT_FOR_IDEA_TO_DEACTIVATE_READY;
loopback_select <= '0';
end if;
-- added newly: 20130405
-- read <= '1';
else
state <= WAIT_FOR_DATA;
end if;
end if;
elsif(state=LOOPBACK_MODE) then
byte_cntr <= "00000";
state <= WRITE_BYTE;
elsif ( state = WAIT_FOR_IDEA_TO_DEACTIVATE_READY ) then
if ( ready_idea = '0' ) then
state <= WAIT_FOR_IDEA_TO_COMPLETE;
end if;
elsif ( state = WAIT_FOR_IDEA_TO_COMPLETE ) then
-- The IDEA algorithm has computed its results now.
byte_cntr <= "00000";
start_idea <= '0';
if ( ready_idea = '1' ) then
state <= WRITE_BYTE;
end if;
elsif ( state = WRITE_BYTE ) then
-- Write back the computed data set
byte_cntr <= byte_cntr + "00001";
if ( byte_cntr = "00000" ) then
txdata <= z1(7 downto 0);
elsif ( byte_cntr = 1 ) then
txdata <= z1(15 downto 8);
elsif ( byte_cntr = 2 ) then
txdata <= z2(7 downto 0);
elsif ( byte_cntr = 3 ) then
txdata <= z2(15 downto 8);
elsif ( byte_cntr = 4 ) then
txdata <= z3(7 downto 0);
elsif ( byte_cntr = 5 ) then
txdata <= z3(15 downto 8);
elsif ( byte_cntr = 6 ) then
txdata <= z4(7 downto 0);
elsif ( byte_cntr = 7 ) then
txdata <= z4(15 downto 8);
end if;
state <= WRITE_BYTE_NOW;
elsif ( state = WRITE_BYTE_NOW ) then
write <= '0';
state <= WRITE_BYTE_ACK;
elsif ( state = WRITE_BYTE_ACK ) then
write <= '1';
if ( txrdy = '0' ) then
state <= WAIT_FOR_TXRDY_1;
end if;
elsif ( state = WAIT_FOR_TXRDY_1 ) then
if ( txrdy = '1' ) then
txdata <= "00000000";
if ( byte_cntr = "01000" ) then
state <= WAIT_FOR_DATA;
byte_cntr <= "00000";
else
state <= WRITE_BYTE;
end if;
end if;
end if;
end if;
end if;
end process;
LEDs_proc : process ( Clk )
begin
if ( Clk'event and Clk='1' ) then
if(counter_sig = "1001011000000000000") then
counter_sig <= "0000000000000000000";
if(led_count_sig = "11111111") then
led_count_sig <= "00000000";
else
LEDs <= led_count_sig;
led_count_sig <= led_count_sig +1;
end if;
else
counter_sig <= counter_sig +1;
end if;
end if;
end process LEDs_proc;
end Behavioral;
|
----- Libraries -----
library ieee;
use ieee.std_logic_1164.all;
entity Tester is
port( LEDR : out std_logic_vector(1 downto 0);
KEY : in std_logic_vector(1 downto 0);
SW : in std_logic_vector(1 downto 0)
);
end Tester;
architecture State of Tester is
begin
sm1 : entity work.Mee_Moo port map(moo_out => LEDR(0), mea_out => LEDR(1), clk => KEY(0), reset => KEY(1), inp => SW);
end State; |
library verilog;
use verilog.vl_types.all;
entity four_bit_adder_vlg_sample_tst is
port(
A : in vl_logic_vector(3 downto 0);
B : in vl_logic_vector(3 downto 0);
cin : in vl_logic;
sampler_tx : out vl_logic
);
end four_bit_adder_vlg_sample_tst;
|
----------------------------------------------------------------------------
----------------------------------------------------------------------------
--
-- Copyright 2017 International Business Machines
--
-- Licensed under the Apache License, Version 2.0 (the "License");
-- you may not use this file except in compliance with the License.
-- You may obtain a copy of the License at
--
-- http://www.apache.org/licenses/LICENSE-2.0
--
-- Unless required by applicable law or agreed to in writing, software
-- distributed under the License is distributed on an "AS IS" BASIS,
-- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-- See the License for the specific language governing permissions AND
-- limitations under the License.
--
----------------------------------------------------------------------------
----------------------------------------------------------------------------
LIBRARY ieee;
USE ieee.std_logic_1164.all;
USE ieee.numeric_std.all;
ENTITY action_axi_slave IS
GENERIC (
-- Width of S_AXI data bus
C_S_AXI_DATA_WIDTH : integer := 32;
-- Width of S_AXI address bus
C_S_AXI_ADDR_WIDTH : integer := 6
);
PORT (
reg_0x10_i : IN STD_LOGIC_VECTOR(31 DOWNTO 0);
reg_0x14_i : IN STD_LOGIC_VECTOR(31 DOWNTO 0);
reg_0x20_o : OUT STD_LOGIC_VECTOR(31 DOWNTO 0);
reg_0x30_o : OUT STD_LOGIC_VECTOR(31 DOWNTO 0);
reg_0x34_o : OUT STD_LOGIC_VECTOR(31 DOWNTO 0);
reg_0x38_o : OUT STD_LOGIC_VECTOR(31 DOWNTO 0);
reg_0x3c_o : OUT STD_LOGIC_VECTOR(31 DOWNTO 0);
reg_0x40_o : OUT STD_LOGIC_VECTOR(31 DOWNTO 0);
reg_0x44_o : OUT STD_LOGIC_VECTOR(31 DOWNTO 0);
reg_0x48_i : IN STD_LOGIC_VECTOR(31 DOWNTO 0);
reg_0x4c_req_error_i : IN STD_LOGIC_VECTOR(15 DOWNTO 0);
reg_0x4c_nvme_error_i : IN STD_LOGIC_VECTOR( 2 DOWNTO 0);
reg_0x4c_completion_i : IN STD_LOGIC_VECTOR( 4 DOWNTO 0);
reg_0x4c_rd_strobe_o : OUT STD_LOGIC;
reg_0x50_i : IN STD_LOGIC_VECTOR(31 DOWNTO 0);
reg_0x54_i : IN STD_LOGIC_VECTOR(31 DOWNTO 0);
int_enable_o : OUT STD_LOGIC;
app_start_o : OUT STD_LOGIC;
app_done_i : IN STD_LOGIC;
app_ready_i : IN STD_LOGIC;
app_idle_i : IN STD_LOGIC;
-- AXI Slave interface
-- Global Clock Signal
S_AXI_ACLK : IN STD_LOGIC;
-- Global Reset Signal. This Signal is Active LOW
S_AXI_ARESETN : IN STD_LOGIC;
-- Write address (issued by master, acceped by Slave)
S_AXI_AWADDR : IN STD_LOGIC_VECTOR(C_S_AXI_ADDR_WIDTH-1 DOWNTO 0);
-- Write address valid. This signal indicates that the master signaling
-- valid write address and control information.
S_AXI_AWVALID : IN STD_LOGIC;
-- Write address ready. This signal indicates that the slave is ready
-- to accept an address and associated control signals.
S_AXI_AWREADY : OUT STD_LOGIC;
-- Write data (issued by master, acceped by Slave)
S_AXI_WDATA : IN STD_LOGIC_VECTOR(C_S_AXI_DATA_WIDTH-1 DOWNTO 0);
-- Write strobes. This signal indicates which byte lanes hold
-- valid data. There is one write strobe bit for each eight
-- bits of the write data bus.
S_AXI_WSTRB : IN STD_LOGIC_VECTOR((C_S_AXI_DATA_WIDTH/8)-1 DOWNTO 0);
-- Write valid. This signal indicates that valid write
-- data and strobes are available.
S_AXI_WVALID : IN STD_LOGIC;
-- Write ready. This signal indicates that the slave
-- can accept the write data.
S_AXI_WREADY : OUT STD_LOGIC;
-- Write response. This signal indicates the status
-- of the write transaction.
S_AXI_BRESP : OUT STD_LOGIC_VECTOR(1 DOWNTO 0);
-- Write response valid. This signal indicates that the channel
-- is signaling a valid write response.
S_AXI_BVALID : OUT STD_LOGIC;
-- Response ready. This signal indicates that the master
-- can accept a write response.
S_AXI_BREADY : IN STD_LOGIC;
-- Read address (issued by master, acceped by Slave)
S_AXI_ARADDR : IN STD_LOGIC_VECTOR(C_S_AXI_ADDR_WIDTH-1 DOWNTO 0);
-- Read address valid. This signal indicates that the channel
-- is signaling valid read address and control information.
S_AXI_ARVALID : IN STD_LOGIC;
-- Read address ready. This signal indicates that the slave is
-- ready to accept an address and associated control signals.
S_AXI_ARREADY : OUT STD_LOGIC;
-- Read data (issued by slave)
S_AXI_RDATA : OUT STD_LOGIC_VECTOR(C_S_AXI_DATA_WIDTH-1 DOWNTO 0);
-- Read response. This signal indicates the status of the
-- read transfer.
S_AXI_RRESP : OUT STD_LOGIC_VECTOR(1 DOWNTO 0);
-- Read valid. This signal indicates that the channel is
-- signaling the required read data.
S_AXI_RVALID : OUT STD_LOGIC;
-- Read ready. This signal indicates that the master can
-- accept the read data and response information.
S_AXI_RREADY : IN STD_LOGIC
);
END action_axi_slave;
ARCHITECTURE action_axi_slave OF action_axi_slave IS
-- AXI4LITE signals
SIGNAL axi_awaddr : STD_LOGIC_VECTOR(C_S_AXI_ADDR_WIDTH-1 DOWNTO 0);
SIGNAL axi_awready : STD_LOGIC;
SIGNAL axi_wready : STD_LOGIC;
SIGNAL axi_bresp : STD_LOGIC_VECTOR(1 DOWNTO 0);
SIGNAL axi_bvalid : STD_LOGIC;
SIGNAL axi_araddr : STD_LOGIC_VECTOR(C_S_AXI_ADDR_WIDTH-1 DOWNTO 0);
SIGNAL axi_arready : STD_LOGIC;
SIGNAL axi_rdata : STD_LOGIC_VECTOR(C_S_AXI_DATA_WIDTH-1 DOWNTO 0);
SIGNAL axi_rresp : STD_LOGIC_VECTOR(1 DOWNTO 0);
SIGNAL axi_rvalid : STD_LOGIC;
-- Example-specific design signals
-- local parameter for addressing 32 bit / 64 bit C_S_AXI_DATA_WIDTH
-- ADDR_LSB is used for addressing 32/64 bit registers/memories
-- ADDR_LSB = 2 for 32 bits (n downto 2)
-- ADDR_LSB = 3 for 64 bits (n downto 3)
CONSTANT ADDR_LSB : INTEGER := (C_S_AXI_DATA_WIDTH/32)+ 1;
CONSTANT OPT_MEM_ADDR_BITS : INTEGER := 6;
------------------------------------------------
---- Signals for user logic register space example
--------------------------------------------------
---- Number of Slave Registers 16
SIGNAL slv_reg0 : STD_LOGIC_VECTOR(C_S_AXI_DATA_WIDTH-1 DOWNTO 0);
SIGNAL slv_reg0_new : STD_LOGIC_VECTOR(C_S_AXI_DATA_WIDTH-1 DOWNTO 0);
SIGNAL slv_reg1 : STD_LOGIC_VECTOR(C_S_AXI_DATA_WIDTH-1 DOWNTO 0);
SIGNAL slv_reg2 : STD_LOGIC_VECTOR(C_S_AXI_DATA_WIDTH-1 DOWNTO 0);
SIGNAL slv_reg3 : STD_LOGIC_VECTOR(C_S_AXI_DATA_WIDTH-1 DOWNTO 0);
SIGNAL slv_reg8 : STD_LOGIC_VECTOR(C_S_AXI_DATA_WIDTH-1 DOWNTO 0);
SIGNAL slv_reg12 : STD_LOGIC_VECTOR(C_S_AXI_DATA_WIDTH-1 DOWNTO 0);
SIGNAL slv_reg13 : STD_LOGIC_VECTOR(C_S_AXI_DATA_WIDTH-1 DOWNTO 0);
SIGNAL slv_reg14 : STD_LOGIC_VECTOR(C_S_AXI_DATA_WIDTH-1 DOWNTO 0);
SIGNAL slv_reg15 : STD_LOGIC_VECTOR(C_S_AXI_DATA_WIDTH-1 DOWNTO 0);
SIGNAL slv_reg16 : STD_LOGIC_VECTOR(C_S_AXI_DATA_WIDTH-1 DOWNTO 0);
SIGNAL slv_reg17 : STD_LOGIC_VECTOR(C_S_AXI_DATA_WIDTH-1 DOWNTO 0);
SIGNAL slv_reg18 : STD_LOGIC_VECTOR(C_S_AXI_DATA_WIDTH-1 DOWNTO 0);
SIGNAL slv_reg19 : STD_LOGIC_VECTOR(C_S_AXI_DATA_WIDTH-1 DOWNTO 0);
SIGNAL slv_reg_rden : STD_LOGIC;
SIGNAL slv_reg_wren : STD_LOGIC;
SIGNAL reg_data_out : STD_LOGIC_VECTOR(C_S_AXI_DATA_WIDTH-1 DOWNTO 0);
SIGNAL byte_index : INTEGER;
SIGNAL idle_q : STD_LOGIC;
SIGNAL app_start_q : STD_LOGIC;
SIGNAL app_done_q : STD_LOGIC;
BEGIN
-- I/O Connections assignments
int_enable_o <= slv_reg1(0);
S_AXI_AWREADY <= axi_awready;
S_AXI_WREADY <= axi_wready;
S_AXI_BRESP <= axi_bresp;
S_AXI_BVALID <= axi_bvalid;
S_AXI_ARREADY <= axi_arready;
S_AXI_RDATA <= axi_rdata;
S_AXI_RRESP <= axi_rresp;
S_AXI_RVALID <= axi_rvalid;
-- Implement axi_awready generation
-- axi_awready is asserted for one S_AXI_ACLK clock cycle when both
-- S_AXI_AWVALID and S_AXI_WVALID are asserted. axi_awready is
-- de-asserted when reset is low.
PROCESS (S_AXI_ACLK)
BEGIN
IF rising_edge(S_AXI_ACLK) THEN
IF (axi_awready = '0' AND S_AXI_AWVALID = '1' AND S_AXI_WVALID = '1') THEN
-- slave is ready to accept write address when
-- there is a valid write address and write data
-- on the write address and data bus. This design
-- expects no outstanding transactions.
axi_awready <= '1';
ELSE
axi_awready <= '0';
END IF;
IF S_AXI_ARESETN = '0' THEN
axi_awready <= '0';
END IF;
END IF;
END PROCESS;
-- Implement axi_awaddr latching
-- This process is used to latch the address when both
-- S_AXI_AWVALID and S_AXI_WVALID are valid.
PROCESS (S_AXI_ACLK)
BEGIN
IF rising_edge(S_AXI_ACLK) THEN
IF (axi_awready = '0' AND S_AXI_AWVALID = '1' AND S_AXI_WVALID = '1') THEN
-- Write Address latching
axi_awaddr <= S_AXI_AWADDR;
END IF;
IF S_AXI_ARESETN = '0' THEN
axi_awaddr <= (OTHERS => '0');
END IF;
END IF;
END PROCESS;
-- Implement axi_wready generation
-- axi_wready is asserted for one S_AXI_ACLK clock cycle when both
-- S_AXI_AWVALID and S_AXI_WVALID are asserted. axi_wready is
-- de-asserted when reset is low.
PROCESS (S_AXI_ACLK)
BEGIN
IF rising_edge(S_AXI_ACLK) THEN
IF (axi_wready = '0' AND S_AXI_WVALID = '1' AND S_AXI_AWVALID = '1') THEN
-- slave is ready to accept write data when
-- there is a valid write address and write data
-- on the write address and data bus. This design
-- expects no outstanding transactions.
axi_wready <= '1';
ELSE
axi_wready <= '0';
END IF;
IF S_AXI_ARESETN = '0' THEN
axi_wready <= '0';
END IF;
END IF;
END PROCESS;
-- Implement memory mapped register select and write logic generation
-- The write data is accepted and written to memory mapped registers when
-- axi_awready, S_AXI_WVALID, axi_wready and S_AXI_WVALID are asserted. Write strobes are used to
-- select byte enables of slave registers while writing.
-- These registers are cleared when reset (active low) is applied.
-- Slave register write enable is asserted when valid address and data are available
-- and the slave is ready to accept the write address and write data.
slv_reg_wren <= axi_wready AND S_AXI_WVALID AND axi_awready AND S_AXI_AWVALID ;
PROCESS (S_AXI_ACLK)
VARIABLE loc_addr : std_logic_vector(OPT_MEM_ADDR_BITS-1 DOWNTO 0);
BEGIN
IF rising_edge(S_AXI_ACLK) THEN
loc_addr := axi_awaddr(ADDR_LSB + OPT_MEM_ADDR_BITS-1 DOWNTO ADDR_LSB);
IF (slv_reg_wren = '1') THEN
CASE loc_addr IS
WHEN b"000000" =>
FOR byte_index IN 0 TO (C_S_AXI_DATA_WIDTH/8-1) LOOP
IF ( S_AXI_WSTRB(byte_index) = '1' ) THEN
-- Respective byte enables are asserted as per write strobes
-- slave register 0
slv_reg0(byte_index*8+7 DOWNTO byte_index*8) <= S_AXI_WDATA(byte_index*8+7 DOWNTO byte_index*8);
END IF;
END LOOP;
WHEN b"000001" =>
FOR byte_index IN 0 TO (C_S_AXI_DATA_WIDTH/8-1) LOOP
IF ( S_AXI_WSTRB(byte_index) = '1' ) THEN
-- Respective byte enables are asserted as per write strobes
-- slave register 1
slv_reg1(byte_index*8+7 DOWNTO byte_index*8) <= S_AXI_WDATA(byte_index*8+7 DOWNTO byte_index*8);
END IF;
END LOOP;
WHEN b"000010" =>
FOR byte_index IN 0 TO (C_S_AXI_DATA_WIDTH/8-1) LOOP
IF ( S_AXI_WSTRB(byte_index) = '1' ) THEN
-- Respective byte enables are asserted as per write strobes
-- slave register 2
slv_reg2(byte_index*8+7 DOWNTO byte_index*8) <= S_AXI_WDATA(byte_index*8+7 DOWNTO byte_index*8);
END IF;
END LOOP;
WHEN b"000011" =>
FOR byte_index IN 0 TO (C_S_AXI_DATA_WIDTH/8-1) LOOP
IF ( S_AXI_WSTRB(byte_index) = '1' ) THEN
-- Respective byte enables are asserted as per write strobes
-- slave register 3
slv_reg3(byte_index*8+7 DOWNTO byte_index*8) <= S_AXI_WDATA(byte_index*8+7 DOWNTO byte_index*8);
END IF;
END LOOP;
WHEN b"001000" =>
FOR byte_index IN 0 TO (C_S_AXI_DATA_WIDTH/8-1) LOOP
IF ( S_AXI_WSTRB(byte_index) = '1' ) THEN
-- Respective byte enables are asserted as per write strobes
-- slave register 8
slv_reg8(byte_index*8+7 DOWNTO byte_index*8) <= S_AXI_WDATA(byte_index*8+7 DOWNTO byte_index*8);
END IF;
END LOOP;
WHEN b"001100" =>
FOR byte_index IN 0 TO (C_S_AXI_DATA_WIDTH/8-1) LOOP
IF ( S_AXI_WSTRB(byte_index) = '1' ) THEN
-- Respective byte enables are asserted as per write strobes
-- slave register 12
slv_reg12(byte_index*8+7 DOWNTO byte_index*8) <= S_AXI_WDATA(byte_index*8+7 DOWNTO byte_index*8);
END IF;
END LOOP;
WHEN b"001101" =>
FOR byte_index IN 0 TO (C_S_AXI_DATA_WIDTH/8-1) LOOP
IF ( S_AXI_WSTRB(byte_index) = '1' ) THEN
-- Respective byte enables are asserted as per write strobes
-- slave register 13
slv_reg13(byte_index*8+7 DOWNTO byte_index*8) <= S_AXI_WDATA(byte_index*8+7 DOWNTO byte_index*8);
END IF;
END LOOP;
WHEN b"001110" =>
FOR byte_index IN 0 TO (C_S_AXI_DATA_WIDTH/8-1) LOOP
IF ( S_AXI_WSTRB(byte_index) = '1' ) THEN
-- Respective byte enables are asserted as per write strobes
-- slave register 14
slv_reg14(byte_index*8+7 DOWNTO byte_index*8) <= S_AXI_WDATA(byte_index*8+7 DOWNTO byte_index*8);
END IF;
END LOOP;
WHEN b"001111" =>
FOR byte_index IN 0 TO (C_S_AXI_DATA_WIDTH/8-1) LOOP
IF ( S_AXI_WSTRB(byte_index) = '1' ) THEN
-- Respective byte enables are asserted as per write strobes
-- slave register 15
slv_reg15(byte_index*8+7 DOWNTO byte_index*8) <= S_AXI_WDATA(byte_index*8+7 DOWNTO byte_index*8);
END IF;
END LOOP;
WHEN b"010000" =>
FOR byte_index IN 0 TO (C_S_AXI_DATA_WIDTH/8-1) LOOP
IF ( S_AXI_WSTRB(byte_index) = '1' ) THEN
-- Respective byte enables are asserted as per write strobes
-- slave register 16
slv_reg16(byte_index*8+7 DOWNTO byte_index*8) <= S_AXI_WDATA(byte_index*8+7 DOWNTO byte_index*8);
END IF;
END LOOP;
WHEN b"010001" =>
FOR byte_index IN 0 TO (C_S_AXI_DATA_WIDTH/8-1) LOOP
IF ( S_AXI_WSTRB(byte_index) = '1' ) THEN
-- Respective byte enables are asserted as per write strobes
-- slave register 17
slv_reg17(byte_index*8+7 DOWNTO byte_index*8) <= S_AXI_WDATA(byte_index*8+7 DOWNTO byte_index*8);
END IF;
END LOOP;
WHEN b"010010" =>
FOR byte_index IN 0 TO (C_S_AXI_DATA_WIDTH/8-1) LOOP
IF ( S_AXI_WSTRB(byte_index) = '1' ) THEN
-- Respective byte enables are asserted as per write strobes
-- slave register 18
slv_reg18(byte_index*8+7 DOWNTO byte_index*8) <= S_AXI_WDATA(byte_index*8+7 DOWNTO byte_index*8);
END IF;
END LOOP;
WHEN b"010011" =>
FOR byte_index IN 0 TO (C_S_AXI_DATA_WIDTH/8-1) LOOP
IF ( S_AXI_WSTRB(byte_index) = '1' ) THEN
-- Respective byte enables are asserted as per write strobes
-- slave register 19
slv_reg19(byte_index*8+7 DOWNTO byte_index*8) <= S_AXI_WDATA(byte_index*8+7 DOWNTO byte_index*8);
END IF;
END LOOP;
WHEN OTHERS =>
slv_reg0 <= slv_reg0;
slv_reg1 <= slv_reg1;
slv_reg2 <= slv_reg2;
slv_reg3 <= slv_reg3;
slv_reg8 <= slv_reg8;
slv_reg12 <= slv_reg12;
slv_reg13 <= slv_reg13;
slv_reg14 <= slv_reg14;
slv_reg15 <= slv_reg15;
slv_reg16 <= slv_reg16;
slv_reg17 <= slv_reg17;
slv_reg18 <= slv_reg18;
slv_reg19 <= slv_reg19;
END CASE;
END IF;
IF app_start_q = '1' THEN
slv_reg0(0) <= '0';
END IF;
IF S_AXI_ARESETN = '0' THEN
slv_reg0 <= (OTHERS => '0');
slv_reg1 <= (OTHERS => '0');
slv_reg2 <= (OTHERS => '0');
slv_reg3 <= (OTHERS => '0');
slv_reg8 <= (OTHERS => '0');
slv_reg12 <= (OTHERS => '0');
slv_reg13 <= (OTHERS => '0');
slv_reg14 <= (OTHERS => '0');
slv_reg15 <= (OTHERS => '0');
slv_reg16 <= (OTHERS => '0');
slv_reg17 <= (OTHERS => '0');
slv_reg18 <= (OTHERS => '0');
slv_reg19 <= (OTHERS => '0');
END IF;
END IF;
END PROCESS;
-- Implement write response logic generation
-- The write response and response valid signals are asserted by the slave
-- when axi_wready, S_AXI_WVALID, axi_wready and S_AXI_WVALID are asserted.
-- This marks the acceptance of address and indicates the status of
-- write transaction.
PROCESS (S_AXI_ACLK)
BEGIN
IF rising_edge(S_AXI_ACLK) THEN
IF (axi_awready = '1' AND S_AXI_AWVALID = '1' AND axi_wready = '1' AND S_AXI_WVALID = '1' AND axi_bvalid = '0' ) THEN
axi_bvalid <= '1';
axi_bresp <= "00";
ELSIF (S_AXI_BREADY = '1' AND axi_bvalid = '1') THEN --check if bready is asserted while bvalid is high)
axi_bvalid <= '0'; -- (there is a possibility that bready is always asserted high)
END IF;
IF S_AXI_ARESETN = '0' THEN
axi_bvalid <= '0';
axi_bresp <= "00"; --need to work more on the responses
END IF;
END IF;
END PROCESS;
-- Implement axi_arready generation
-- axi_arready is asserted for one S_AXI_ACLK clock cycle when
-- S_AXI_ARVALID is asserted. axi_awready is
-- de-asserted when reset (active low) is asserted.
-- The read address is also latched when S_AXI_ARVALID is
-- asserted. axi_araddr is reset to zero on reset assertion.
PROCESS (S_AXI_ACLK)
BEGIN
IF rising_edge(S_AXI_ACLK) THEN
IF (axi_arready = '0' AND S_AXI_ARVALID = '1') THEN
-- indicates that the slave has acceped the valid read address
axi_arready <= '1';
-- Read Address latching
axi_araddr <= S_AXI_ARADDR;
ELSE
axi_arready <= '0';
END IF;
IF S_AXI_ARESETN = '0' THEN
axi_arready <= '0';
axi_araddr <= (OTHERS => '1');
END IF;
END IF;
END PROCESS;
-- Implement axi_arvalid generation
-- axi_rvalid is asserted for one S_AXI_ACLK clock cycle when both
-- S_AXI_ARVALID and axi_arready are asserted. The slave registers
-- data are available on the axi_rdata bus at this instance. The
-- assertion of axi_rvalid marks the validity of read data on the
-- bus and axi_rresp indicates the status of read transaction.axi_rvalid
-- is deasserted on reset (active low). axi_rresp and axi_rdata are
-- cleared to zero on reset (active low).
PROCESS (S_AXI_ACLK)
BEGIN
IF rising_edge(S_AXI_ACLK) THEN
IF (axi_arready = '1' AND S_AXI_ARVALID = '1' AND axi_rvalid = '0') THEN
-- Valid read data is available at the read data bus
axi_rvalid <= '1';
axi_rresp <= "00"; -- 'OKAY' response
ELSIF (axi_rvalid = '1' AND S_AXI_RREADY = '1') THEN
-- Read data is accepted by the master
axi_rvalid <= '0';
END IF;
IF S_AXI_ARESETN = '0' THEN
axi_rvalid <= '0';
axi_rresp <= "00";
END IF;
END IF;
END PROCESS;
-- Implement memory mapped register select and read logic generation
-- Slave register read enable is asserted when valid address is available
-- and the slave is ready to accept the read address.
slv_reg_rden <= axi_arready AND S_AXI_ARVALID AND (NOT axi_rvalid) ;
PROCESS (slv_reg0_new, slv_reg1, slv_reg2, slv_reg3, reg_0x10_i, reg_0x14_i, slv_reg8, slv_reg12,
slv_reg13, slv_reg14, slv_reg15, slv_reg16, slv_reg17, reg_0x48_i, slv_reg19, axi_araddr,
reg_0x4c_completion_i, reg_0x4c_req_error_i, reg_0x4c_nvme_error_i,
reg_0x50_i, reg_0x54_i)
VARIABLE loc_addr : std_logic_vector(OPT_MEM_ADDR_BITS-1 DOWNTO 0);
VARIABLE loc_idx : integer RANGE 0 TO 511;
BEGIN
-- Address decoding for reading registers
loc_addr := axi_araddr(ADDR_LSB + OPT_MEM_ADDR_BITS-1 DOWNTO ADDR_LSB);
loc_idx := to_integer(unsigned(axi_araddr(5 DOWNTO 2))) * 32;
CASE loc_addr IS
WHEN b"000000" =>
reg_data_out <= slv_reg0_new; -- 0x00
WHEN b"000001" =>
reg_data_out <= slv_reg1; -- 0x04
WHEN b"000010" =>
reg_data_out <= slv_reg2; -- 0x08
WHEN b"000011" =>
reg_data_out <= slv_reg3; -- 0x0c
WHEN b"000100" =>
reg_data_out <= reg_0x10_i; -- 0x10
WHEN b"000101" =>
reg_data_out <= reg_0x14_i; -- 0x14
WHEN b"001000" =>
reg_data_out <= slv_reg8; -- 0x20
WHEN b"001100" =>
reg_data_out <= slv_reg12; -- 0x30
WHEN b"001101" =>
reg_data_out <= slv_reg13; -- 0x34
WHEN b"001110" =>
reg_data_out <= slv_reg14; -- 0x38
WHEN b"001111" =>
reg_data_out <= slv_reg15; -- 0x3c
WHEN b"010000" =>
reg_data_out <= slv_reg16; -- 0x40
WHEN b"010001" =>
reg_data_out <= slv_reg17; -- 0x44
WHEN b"010010" =>
reg_data_out <= reg_0x48_i; -- 0x48 : Tracking slots with NVMe read error (bits 31:16) / NVMe write error (bits 15:0)
WHEN b"010011" =>
reg_data_out <= reg_0x4c_req_error_i & slv_reg19(15 DOWNTO 11) & reg_0x4c_nvme_error_i & slv_reg19(7 DOWNTO 5) & reg_0x4c_completion_i; -- 0x4c
WHEN b"010100" =>
reg_data_out <= reg_0x50_i; -- 0x50 : Request tracking register
-- for slot in {0,...,15}:
-- bit slot+32 = '1' means: request from application for slot got initiated
-- bit is reset when the applications request is completed
-- bit slot = '1' means: request is an NVMe read request (NVMe writer request, otherwise)
WHEN b"010101" =>
reg_data_out <= reg_0x54_i; -- 0x54 : NVMe request / response register
-- for slot in {0,...,15}:
-- bit slot+32 = '1' means: request to Nvme host controller for slot initiated
-- bit is reset when the applications request is completed
-- bit slot = '1' means: response from Nvme host controler for slot arrived
-- bit is reset when the applications request is completed
-- WHEN b"010111" =>
-- reg_data_out <= reg_0x5c_i; -- 0x5c : NVMe host controller debug register 0x4c (snd tracking info)
-- -- for slot in {0,...,15}:
-- -- bit slot+32 = '1' means: request to Nvme drive for slot initiated (=>WRITE_SQ)
-- -- bit is reset when the drive signals receive of request
-- -- bit slot = '1' means: request to Nvme drive for slot completed (=>WRITE_SQ_DOORBELL)
-- -- bit is reset when the drive signals receive of request
WHEN OTHERS =>
reg_data_out <= (OTHERS => '0');
END CASE;
END PROCESS;
reg_0x4c_rd_strobe_o <= '1' WHEN slv_reg_rden = '1' AND axi_araddr(7 DOWNTO 0) = x"4c" ELSE '0';
-- Output register or memory read data
PROCESS( S_AXI_ACLK ) IS
BEGIN
IF (rising_edge (S_AXI_ACLK)) THEN
IF (slv_reg_rden = '1') THEN
-- When there is a valid read address (S_AXI_ARVALID) with
-- acceptance of read address by the slave (axi_arready),
-- output the read dada
-- Read address mux
axi_rdata <= reg_data_out; -- register read data
END IF;
IF ( S_AXI_ARESETN = '0' ) THEN
axi_rdata <= (OTHERS => '0');
END IF;
END IF;
END PROCESS;
app_start_o <= app_start_q;
reg_0x20_o <= slv_reg8;
reg_0x30_o <= slv_reg12;
reg_0x34_o <= slv_reg13;
reg_0x38_o <= slv_reg14;
reg_0x3c_o <= slv_reg15;
reg_0x40_o <= slv_reg16;
reg_0x44_o <= slv_reg17;
PROCESS( S_AXI_ACLK ) IS
VARIABLE app_done_i_q : std_logic;
VARIABLE loc_addr : std_logic_vector(OPT_MEM_ADDR_BITS-1 DOWNTO 0);
BEGIN
IF (rising_edge (S_AXI_ACLK)) THEN
app_start_q <= app_start_q;
idle_q <= app_idle_i;
app_done_i_q := app_done_i;
loc_addr := axi_awaddr(ADDR_LSB + OPT_MEM_ADDR_BITS-1 DOWNTO ADDR_LSB);
-- clear app_done bit when register is read
IF slv_reg_rden = '1' AND loc_addr = "00000" THEN
app_done_q <= '0';
END IF;
IF (app_done_i_q = '0' AND app_done_i = '1') THEN
app_done_q <= '1';
END IF;
IF slv_reg0(0) = '1' THEN
app_start_q <= '1';
END IF;
IF idle_q = '1' AND app_idle_i = '0' THEN
app_start_q <= '0';
END IF;
IF ( S_AXI_ARESETN = '0' ) THEN
app_start_q <= '0';
app_done_q <= '0';
app_done_i_q := '0';
idle_q <= '0';
END IF;
END IF;
END PROCESS;
slv_reg0_new <= slv_reg0 (31 DOWNTO 4) & app_ready_i & idle_q & app_done_q & app_start_q ;
END action_axi_slave;
|
-------------------------------------------------------------------------------
-- Title : ALU log_or
-- Project : Source files in two directories, custom library name, VHDL'87
-------------------------------------------------------------------------------
-- File : ALU_Log_Or.vhd
-- Author : Robert Jarzmik <[email protected]>
-- Company :
-- Created : 2016-12-06
-- Last update: 2016-12-06
-- Platform :
-- Standard : VHDL'93/02
-------------------------------------------------------------------------------
-- Description:
-------------------------------------------------------------------------------
-- Copyright (c) 2016
-------------------------------------------------------------------------------
-- Revisions :
-- Date Version Author Description
-- 2016-12-06 1.0 rj Created
-------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
-------------------------------------------------------------------------------
entity ALU_Log_Or is
generic (
DATA_WIDTH : integer
);
port (
i_ra : in unsigned(DATA_WIDTH - 1 downto 0);
i_rb : in unsigned(DATA_WIDTH - 1 downto 0);
o_q : out unsigned(DATA_WIDTH * 2 - 1 downto 0)
);
end entity ALU_Log_Or;
-------------------------------------------------------------------------------
architecture rtl of ALU_Log_Or is
-----------------------------------------------------------------------------
-- Internal signal declarations
-----------------------------------------------------------------------------
signal result : unsigned(DATA_WIDTH - 1 downto 0);
constant upper : unsigned(DATA_WIDTH - 1 downto 0) := (others => '0');
begin -- architecture rtl
o_q <= upper & result;
result <= i_ra or i_rb;
end architecture rtl;
-------------------------------------------------------------------------------
|
-- Testebench gerado via script.
-- Data: Sáb,31/12/2011-01:39:29
-- Autor: rogerio
-- Comentario: Teste da entidade unidadeLogica.
library ieee;
use ieee.std_logic_1164.all;
use ieee.std_logic_unsigned.all;
entity unidadeLogica_tb is
end unidadeLogica_tb;
architecture estrutural of unidadeLogica_tb is
-- Declaração do componente.
component unidadeLogica
port (A, B, OpAND, OpOR, OpNAND, OpNOR, OpXOR, OpXNOR, OpNOT: in <<type>>; S: out <<type>>);
end component;
-- Especifica qual a entidade está vinculada com o componente.
for unidadeLogica_0: unidadeLogica use entity work.unidadeLogica;
signal s_t_A, s_t_B, s_t_OpAND, s_t_OpOR, s_t_OpNAND, s_t_OpNOR, s_t_OpXOR, s_t_OpXNOR, s_t_OpNOT, s_t_S: <<type>>;
begin
-- Instanciação do Componente.
-- port map (<<p_in_1>> => <<s_t_in_1>>)
unidadeLogica_0: unidadeLogica port map ( A=>s_t_A, B=>s_t_B, OpAND=>s_t_OpAND, OpOR=>s_t_OpOR, OpNAND=>s_t_OpNAND, OpNOR=>s_t_OpNOR, OpXOR=>s_t_OpXOR, OpXNOR=>s_t_OpXNOR, OpNOT=>s_t_OpNOT, S=>s_t_S);
-- Processo que faz o trabalho.
process
-- Um registro é criado com as entradas e saídas da entidade.
-- (<<entrada1>>, <<entradaN>>, <<saida1>>, <<saidaN>>)
type pattern_type is record
-- entradas.
vi_A, vi_B, vi_OpAND, vi_OpOR, vi_OpNAND, vi_OpNOR, vi_OpXOR, vi_OpXNOR, vi_OpNOT: <<type>>;
-- saídas.
vo_S: <<type>>;
end record;
-- Os padrões de entrada que são aplicados (injetados) às entradas.
type pattern_array is array (natural range <>) of pattern_type;
-- Casos de teste.
constant patterns : pattern_array :=
(
(casos de testes com 10 colunas, '0'...),
(...)
);
begin
-- Checagem de padrões.
for i in patterns'range loop
-- Injeta as entradas.
s_t_A <= patterns(i).vi_A;
s_t_B <= patterns(i).vi_B;
s_t_OpAND <= patterns(i).vi_OpAND;
s_t_OpOR <= patterns(i).vi_OpOR;
s_t_OpNAND <= patterns(i).vi_OpNAND;
s_t_OpNOR <= patterns(i).vi_OpNOR;
s_t_OpXOR <= patterns(i).vi_OpXOR;
s_t_OpXNOR <= patterns(i).vi_OpXNOR;
s_t_OpNOT <= patterns(i).vi_OpNOT;
-- Aguarda os resultados.
wait for 1 ns;
-- Checa o resultado com a saída esperada no padrão.
assert s_t_S = patterns(i).vo_S report "Valor de s_t_S não confere com o resultado esperado." severity error;
end loop;
assert false report "Fim do teste." severity note;
-- Wait forever; Isto finaliza a simulação.
wait;
end process;
end estrutural;
|
--------------------------------------------------------------------------------
-- Copyright (c) 2015, Przemyslaw Wegrzyn <[email protected]>
-- This file is distributed under the Modified BSD License.
--
-- Testbench for teh HD44780 LCD interface.
--------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
entity t_hd44780_iface is
end t_hd44780_iface;
architecture behavior of t_hd44780_iface is
component hd44780_iface
generic (time_base_period : integer);
port(clk : in std_logic;
time_base : in std_logic;
db : in std_logic_vector(7 downto 0);
rs : in std_logic;
strb : in std_logic;
rdy : out std_logic;
lcd_e : out std_logic;
lcd_rs : out std_logic;
lcd_rw : out std_logic;
lcd_d : out std_logic_vector(7 downto 4)
);
end component;
signal clk : std_logic := '0';
signal time_base : std_logic := '0';
signal db : std_logic_vector(7 downto 0) := (others => '0');
signal rs : std_logic := '0';
signal strb : std_logic := '0';
signal ready : std_logic;
signal lcd_e : std_logic;
signal lcd_rs : std_logic;
signal lcd_rw : std_logic;
signal lcd_d : std_logic_vector(7 downto 4);
-- 50MHz main clock, 1kHz time base
constant clk_period : time := 20 ns;
constant time_base_ratio : integer := 5_000;
constant time_base_period : integer := 100; -- microseconds
-- E pulse timing paramters, from the Hitachi HD44780U datahseet,
-- worst case (VCC 2.7..4.5V)
constant min_power_up_delay : time := 40 ms;
constant min_addr_setup_time : time := 60 ns;
constant min_addr_hold_time : time := 20 ns;
constant min_data_setup_time : time := 195 ns;
constant min_data_hold_time : time := 10 ns;
constant min_e_pulse_width : time := 450 ns;
-- minimum time between E rising edges
constant min_e_cycle_time : time := 1000 ns;
-- datasheet says 37us (+ 4us for RAM access), let's add some margin
constant normal_cmd_delay : time := 50 us;
-- can't find it stated explicitely anywhere - assuming same
-- as command delay (probably much longer than needed)
constant high_nibble_delay : time := normal_cmd_delay;
-- Clear Display and Return Home need more time (1.6 ms + margin)
constant long_cmd_delay : time := 2 ms;
-- init sequence
type t_init_sequence_entry is record
data : std_logic_vector(7 downto 4);
delay : time;
end record;
type t_init_sequence is array (0 to 3) of t_init_sequence_entry;
signal init_sequence : t_init_sequence := (
(X"3", 4.1 ms),
(X"3", 100 us),
(X"3", 100 us),
(X"2", 100 us));
-- user commands
type t_user_command is record
rs : std_logic;
data: std_logic_vector(7 downto 0);
end record;
type t_user_commands is array (0 to 3) of t_user_command;
signal user_commands : t_user_commands := (
('0', X"01"), -- Display Clear command
('0', X"02"), -- Return Home command
('1', X"41"),
('1', X"5A"));
begin
-- TODO: check ready signal handling
uut: hd44780_iface
generic map (time_base_period => time_base_period)
port map (
clk => clk,
time_base => time_base,
db => db,
rs => rs,
strb => strb,
rdy => ready,
lcd_e => lcd_e,
lcd_rs => lcd_rs,
lcd_rw => lcd_rw,
lcd_d => lcd_d);
-- Clock process definitions
clk_process : process
variable i : integer;
begin
clk <= '0';
wait for clk_period/2;
clk <= '1';
wait for clk_period/2;
end process;
time_base_process : process
begin
time_base <= '0';
wait for clk_period * (time_base_ratio - 1);
time_base <= '1';
wait for clk_period;
end process;
user_process : process
variable minimum_delay: time;
begin
-- note: we can't progress on the same edge when ready goes '1'
wait until ready = '1' and falling_edge(clk);
for i in user_commands'low to user_commands'high loop
rs <= user_commands(i).rs;
db <= user_commands(i).data;
strb <= '1';
wait for clk_period;
strb <= '0';
-- after one clk period 'ready' should be low
assert ready = '0' report "ready not low after submitting a byte" severity error;
wait until ready = '1';
-- ensure enough time was given for the command to execute
if user_commands(i).data = B"00000001" or user_commands(i).data(7 downto 1) = B"0000001" then
-- Clear Display or Return Home
minimum_delay := long_cmd_delay;
else
minimum_delay := normal_cmd_delay;
end if;
assert lcd_e = '0' and lcd_e'last_event > minimum_delay
report "command execution time not respected" severity error;
wait until falling_edge(clk);
end loop;
-- TODO: stop clocks to terminate simulation
wait until False;
end process;
t_lcd_timing : process
variable e_prev : time;
variable e_start : time := 0 ns;
begin
-- wait for E raising edge
wait until lcd_e = '1';
e_prev := e_start;
e_start := now;
assert e_start > min_power_up_delay report "initial power-up delay time violated" severity error;
-- check minimum cycle time
if e_prev /= 0 ns then
assert e_start - e_prev > min_e_cycle_time report "lcd_e minimum cycle time violated" severity error;
end if;
-- check setup time
assert lcd_rs'stable(min_addr_setup_time) report "lcd_rs setup time violated" severity error;
assert lcd_d'stable(min_data_setup_time) report "lcd_d setup time violated" severity error;
-- wait for E falling edge, check pulse width
wait until lcd_e = '0';
assert now - e_start > min_e_pulse_width report "lcd_e minimum pulse width violated" severity error;
-- check hold time
assert lcd_rs'stable(min_addr_hold_time) report "lcd_rs hold time violated" severity error;
assert lcd_d'stable(min_data_hold_time) report "lcd_d hold time violated" severity error;
end process;
t_lcd_init : process
variable cmd_start : time;
begin
wait until lcd_e = '1';
assert now > min_power_up_delay report "initial power-up delay time violated" severity error;
for i in init_sequence'low to init_sequence'high loop
wait until lcd_e = '0';
cmd_start := now;
assert lcd_d = init_sequence(i).data report "invalid init sequence" severity error;
-- check enough time is given for each command to execute
wait until lcd_e = '1';
assert now - cmd_start >= init_sequence(i).delay report "init sequence delay violation" severity error;
end loop;
-- when we get here, lcd_e is '1' - first user command was just submitted (high nibble)
wait until False;
end process;
end;
|
----------------------------------------------------------------------------------
-- Company:
-- Engineer:
--
-- Create Date: 17:23:47 10/31/2013
-- Design Name:
-- Module Name: if_id_reg - Behavioral
-- Project Name:
-- Target Devices:
-- Tool versions:
-- Description:
--
-- Dependencies:
--
-- Revision:
-- Revision 0.01 - File Created
-- Additional Comments:
--
----------------------------------------------------------------------------------library IEEE;
Library IEEE;
use IEEE.STD_LOGIC_1164.all;
use IEEE.numeric_std.all;
entity IF_ID_REG is
port(
Clk : in STD_LOGIC;
Reset : in STD_LOGIC;
ID_STALL: in std_logic;
IF_ID_FLUSH: in std_logic;
PC_ADDR_IN: in STD_LOGIC_VECTOR(31 downto 0);
INST_REG_IN : in STD_LOGIC_VECTOR(31 downto 0);
PC_ADDR_OUT : out STD_LOGIC_VECTOR(31 downto 0);
INST_REG_OUT : out STD_LOGIC_VECTOR(31 downto 0)
);
end IF_ID_REG;
architecture IF_ID_REG_ARC of IF_ID_REG is
begin
process(Clk,Reset)
begin
if RESET = '1' then
INST_REG_OUT <= (others => '0');
PC_ADDR_OUT <= (others => '0');
elsif (Clk'event and Clk ='1') then
if IF_ID_FLUSH = '1' then
INST_REG_OUT <= (others =>'0');
PC_ADDR_OUT <= (others =>'0');
else
PC_ADDR_OUT <= PC_ADDR_IN;
INST_REG_OUT <= INST_REG_IN;
end if;
end if;
end process;
end IF_ID_REG_ARC; |
architecture RTL of FIFO is
begin
-- These are passing
a <= '0' when c = '0' else
'1';
a <= '0' when c = '0' else-- Comment
'1' when c = '1' else -- comment
'0' when d = '1' else
'1';
-- Violations below
a <= '0' when c = '0' else
'1' when c = '1' else
'0' when d = '1' else
'1';
a <= '0' when c = '0' else
'1' when c = '1' else
'0' when d =
'1' else
'1';
a <= '0' when c = '0' else
'1' when c =
'1' else
'0' when d = '1' else
'1';
end architecture RTL;
|
---------------------------------------------------------------------------
-- Copyright 2010 Lawrence Wilkinson [email protected]
--
-- This file is part of LJW2030, a VHDL implementation of the IBM
-- System/360 Model 30.
--
-- LJW2030 is free software: you can redistribute it and/or modify
-- it under the terms of the GNU General Public License as published by
-- the Free Software Foundation, either version 3 of the License, or
-- (at your option) any later version.
--
-- LJW2030 is distributed in the hope that it will be useful,
-- but WITHOUT ANY WARRANTY; without even the implied warranty of
-- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-- GNU General Public License for more details.
--
-- You should have received a copy of the GNU General Public License
-- along with LJW2030 . If not, see <http://www.gnu.org/licenses/>.
--
---------------------------------------------------------------------------
--
-- File: FMD2030_5-07B2.vhd
-- Creation Date: 01/11/09
-- Description:
-- S Register
-- Page references like "5-01A" refer to the IBM Maintenance Diagram Manual (MDM)
-- for the 360/30 R25-5103-1
-- References like "02AE6" refer to coordinate "E6" on page "5-02A"
-- Logic references like "AB3D5" refer to card "D5" in board "B3" in gate "A"
-- Gate A is the main logic gate, B is the second (optional) logic gate,
-- C is the core storage and X is the CCROS unit
--
-- Revision History:
-- Revision 1.0 2010-07-13
-- Initial Release
-- Revision 1.1 2012-04-07
-- Change GT_CS_OPT to level-triggered latch
---------------------------------------------------------------------------
LIBRARY ieee;
USE ieee.std_logic_1164.all;
USE ieee.std_logic_unsigned.all;
library work;
use work.Gates_package.all;
use work.Buses_package.all;
-- use work.all;
ENTITY SReg IS
port
(
SA : IN STD_LOGIC; -- 01C
CS : IN STD_LOGIC_VECTOR(0 to 3); -- 01C
CD : IN STD_LOGIC_VECTOR(0 to 3); -- 01C
N_Z_BUS : IN STD_LOGIC_VECTOR(0 to 7);
Z_BUS0, CARRY_0, Z_BUS_HI_0, Z_BUS_LO_0 : IN STD_LOGIC; -- 06B
GT_CARRY_TO_S3 : IN STD_LOGIC;
S : OUT STD_LOGIC_VECTOR(0 to 7);
GT_Z_BUS_TO_S : OUT STD_LOGIC;
S_REG_RST : OUT STD_LOGIC;
CTRL_REG_RST : IN STD_LOGIC; -- 01C
MAN_STOR_PWR : IN STD_LOGIC; -- 03D
STORE_S_REG_RST : IN STD_LOGIC; -- 03D
E_SW_SEL_S : IN STD_LOGIC; -- 04C
MACH_RST_2C : IN STD_LOGIC; -- 06B
T_REQUEST : IN STD_LOGIC; -- 10BC6
FB_K_T2_PULSE : OUT STD_LOGIC;
CS_DECODE_X001 : OUT STD_LOGIC; -- 03C
BASIC_CS_0 : OUT STD_LOGIC; -- 03C
P1, T1, T2, T3, T4 : IN STD_LOGIC;
clk : IN STD_LOGIC
);
END SReg;
ARCHITECTURE FMD OF SReg IS
signal SETS, RESETS : STD_LOGIC_VECTOR(0 to 7);
signal CS_X000,CS_X001,CS_X010,CS_X011,CS_X100,CS_X101,CS_X110,CS_X111,CS_X01X,CS_X0X1,CS_0XXX,CS_1XXX : STD_LOGIC;
signal CD_0110 : STD_LOGIC;
signal GT_CS_OPT_DECODER, GT_CS_BASIC_DECODER : STD_LOGIC;
signal BASIC_NOT_CS_0, sBASIC_CS_0 : STD_LOGIC;
signal sGT_Z_BUS_TO_S : STD_LOGIC;
signal sS_REG_RST : STD_LOGIC;
signal GT_CS_OPT_Set,GT_CS_OPT_Reset : STD_LOGIC;
signal S_REG_Set,S_REG_Reset : STD_LOGIC_VECTOR(0 to 7);
BEGIN
-- Fig 5-07B
CS_X000 <= '1' when CS(1 to 3)="000" else '0';
CS_X001 <= '1' when CS(1 to 3)="001" else '0';
CS_DECODE_X001 <= CS_X001;
CS_X010 <= '1' when CS(1 to 3)="010" else '0';
CS_X011 <= '1' when CS(1 to 3)="011" else '0';
CS_X100 <= '1' when CS(1 to 3)="100" else '0';
CS_X101 <= '1' when CS(1 to 3)="101" else '0';
CS_X110 <= '1' when CS(1 to 3)="110" else '0';
CS_X111 <= '1' when CS(1 to 3)="111" else '0';
CS_X01X <= '1' when CS(1 to 2)="01" else '0';
CS_X0X1 <= '1' when CS(1)='0' and CS(3)='1' else '0';
CS_0XXX <= '1' when CS(0)='0' else '0';
CS_1XXX <= '1' when CS(0)='1' else '0';
GT_CS_OPT_Set <= SA and P1;
GT_CS_OPT_Reset <= CTRL_REG_RST or T1;
-- GT_CS_OPT: FLE port map(GT_CS_OPT_Set, GT_CS_OPT_Reset, clk, GT_CS_OPT_DECODER); -- AB3E5
GT_CS_OPT: entity work.FLL port map(S=>GT_CS_OPT_Set, R=>GT_CS_OPT_Reset, Q=>GT_CS_OPT_DECODER); -- AB3E5
GT_CS_BASIC_DECODER <= not GT_CS_OPT_DECODER; -- AB3E5
BASIC_NOT_CS_0 <= GT_CS_BASIC_DECODER and CS_0XXX; -- AA3L5 Could be" GT_CS_BASIC_DECODER and not CS(0)"
sBASIC_CS_0 <= GT_CS_BASIC_DECODER and CS_1XXX; -- AA3L5 Could be "GT_CS_BASIC_DECODER and CS(0)"
BASIC_CS_0 <= sBASIC_CS_0;
FB_K_T2_PULSE <= sBASIC_CS_0 and T2 and CS_X110; -- AA3F7, AA3E3
CD_0110 <= '1' when CD="0110" else '0'; -- AA3B7, AA3J6
sGT_Z_BUS_TO_S <= (CD_0110 and T4) or (MAN_STOR_PWR and E_SW_SEL_S) or MACH_RST_2C; -- AA3J6
GT_Z_BUS_TO_S <= sGT_Z_BUS_TO_S;
sS_REG_RST <= (CD_0110 and T3) or (STORE_S_REG_RST and E_SW_SEL_S) or MACH_RST_2C; -- AA3J6
S_REG_RST <= sS_REG_RST;
SETS(0) <= CS_X111 and BASIC_NOT_CS_0; -- AA3G7
SETS(1) <= T_REQUEST and CS_X101 and BASIC_NOT_CS_0; -- AA3G7
SETS(2) <= CS_X001 and not Z_BUS0 and sBASIC_CS_0; -- AA3H7
SETS(3) <= GT_CARRY_TO_S3 and CARRY_0; -- AA3H7
SETS(4) <= BASIC_NOT_CS_0 and CS_X01X and Z_BUS_HI_0; -- AA3J7
SETS(5) <= BASIC_NOT_CS_0 and CS_X0X1 and Z_BUS_LO_0; -- AA3J7
SETS(6) <= CS_X011 and sBASIC_CS_0; -- AA3K7
SETS(7) <= CS_X101 and sBASIC_CS_0; -- AA3K7
RESETS(0) <= CS_X110 and BASIC_NOT_CS_0; -- AA3G7
RESETS(1) <= CS_X101 and not T_REQUEST and BASIC_NOT_CS_0; -- AA3G7
RESETS(2) <= CS_X000 and sBASIC_CS_0; -- AA3H7
RESETS(3) <= not CARRY_0 and GT_CARRY_TO_S3; -- AA3H7
RESETS(4) <= (BASIC_NOT_CS_0 and not Z_BUS_HI_0 and CS_X01X) or (BASIC_NOT_CS_0 and CS_X100); -- AA3J7
RESETS(5) <= (BASIC_NOT_CS_0 and not Z_BUS_LO_0 and CS_X0X1) or (BASIC_NOT_CS_0 and CS_X100); -- AA3J7
RESETS(6) <= sBASIC_CS_0 and CS_X010; -- AA3K7
RESETS(7) <= sBASIC_CS_0 and CS_X100; -- AA3K7
S_REG_Set <= mux(sGT_Z_BUS_TO_S,not N_Z_BUS) or mux(T4,SETS); -- ?? "T4 and not T1" to prevent erroneous S4 value
S_REG_Reset <= (S'range=>sS_REG_RST) or mux(T4,RESETS); -- ?? "T4 and not T1" to prevent erroneous S4 value
S_REG: FLVL port map(S_REG_Set, S_REG_Reset, S); -- AA3G7, AA3H7, AA3J7, AA3K7
END FMD;
|
------------------------------------------------------------------------------
-- This file is a part of the GRLIB VHDL IP LIBRARY
-- Copyright (C) 2003 - 2008, Gaisler Research
-- Copyright (C) 2008 - 2013, Aeroflex Gaisler
--
-- This program is free software; you can redistribute it and/or modify
-- it under the terms of the GNU General Public License as published by
-- the Free Software Foundation; either version 2 of the License, or
-- (at your option) any later version.
--
-- This program is distributed in the hope that it will be useful,
-- but WITHOUT ANY WARRANTY; without even the implied warranty of
-- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-- GNU General Public License for more details.
--
-- You should have received a copy of the GNU General Public License
-- along with this program; if not, write to the Free Software
-- Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-----------------------------------------------------------------------------
-- Entity: various
-- File: clkgen_xilinx.vhd
-- Author: Jiri Gaisler, Gaisler Research
-- Author: Richard Pender, Pender Electronic Design
-- Description: Clock generators for Virtex and Virtex-2 fpgas
------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
-- pragma translate_off
library grlib;
use grlib.stdlib.all;
library unisim;
use unisim.BUFG;
use unisim.CLKDLL;
use unisim.BUFGDLL;
-- pragma translate_on
library techmap;
use techmap.gencomp.all;
entity clkgen_virtex is
generic (
clk_mul : integer := 1;
clk_div : integer := 1;
sdramen : integer := 0;
noclkfb : integer := 0;
pcien : integer := 0;
pcidll : integer := 0;
pcisysclk: integer := 0);
port (
clkin : in std_logic;
pciclkin: in std_logic;
clk : out std_logic; -- main clock
clkn : out std_logic; -- inverted main clock
clk2x : out std_logic; -- double clock
sdclk : out std_logic; -- SDRAM clock
pciclk : out std_logic; -- PCI clock
cgi : in clkgen_in_type;
cgo : out clkgen_out_type
);
end;
architecture rtl of clkgen_virtex is
component BUFG port (O : out std_logic; I : in std_logic); end component;
component CLKDLL
port (
CLK0 : out std_ulogic;
CLK180 : out std_ulogic;
CLK270 : out std_ulogic;
CLK2X : out std_ulogic;
CLK90 : out std_ulogic;
CLKDV : out std_ulogic;
LOCKED : out std_ulogic;
CLKFB : in std_ulogic;
CLKIN : in std_ulogic;
RST : in std_ulogic);
end component;
component BUFGDLL port (O : out std_logic; I : in std_logic); end component;
signal gnd, clk_i, clk_j, clk_k, dll0rst, dll0lock, dll1lock : std_logic;
signal dll1rst : std_logic_vector(0 to 3);
signal clk0B, clkint, CLK2XL, CLKDV, CLK180, pciclkint : std_logic;
begin
gnd <= '0'; clk <= clk_i; clkn <= not clk_i;
c0 : if (PCISYSCLK = 0) or (PCIEN = 0) generate
clkint <= clkin;
end generate;
c2 : if PCIEN /= 0 generate
pciclkint <= pciclkin;
p3 : if PCISYSCLK = 1 generate clkint <= pciclkint; end generate;
p0 : if PCIDLL = 1 generate
x1 : BUFGDLL port map (I => pciclkint, O => pciclk);
end generate;
p1 : if PCIDLL = 0 generate
x1 : BUFG port map (I => pciclkint, O => pciclk);
end generate;
end generate;
c3 : if PCIEN = 0 generate
pciclk <= '0';
end generate;
bufg0 : BUFG port map (I => clk0B, O => clk_i);
bufg1 : BUFG port map (I => clk_j, O => clk_k);
dll0rst <= not cgi.pllrst;
dll0 : CLKDLL
port map (CLKIN => clkint, CLKFB => clk_k, CLK0 => clk_j, CLK180 => CLK180,
CLK2X => CLK2XL, CLKDV => CLKDV, LOCKED => dll0lock, RST => dll0rst);
clk0B <= CLK2XL when clk_mul/clk_div = 2
else CLKDV when clk_div/clk_mul = 2 else clk_j;
sd0 : if (SDRAMEN /= 0) and (NOCLKFB = 0) generate
cgo.clklock <= dll1lock;
dll1 : CLKDLL
port map (CLKIN => clk_i, CLKFB => cgi.pllref, RST => dll1rst(0), CLK0 => sdclk,
CLK2X => clk2x, LOCKED => dll1lock);
rstdel : process (clk_i)
begin
if dll0lock = '0' then dll1rst <= (others => '1');
elsif rising_edge(clk_i) then
dll1rst <= dll1rst(1 to 3) & '0';
end if;
end process;
end generate;
sd1 : if not ((SDRAMEN /= 0) and (NOCLKFB = 0)) generate
sdclk <= clk_i; cgo.clklock <= dll0lock;
end generate;
cgo.pcilock <= '1';
end;
library ieee;
use ieee.std_logic_1164.all;
-- pragma translate_off
library grlib;
use grlib.stdlib.all;
library unisim;
use unisim.IBUFG;
use unisim.BUFG;
use unisim.DCM;
use unisim.BUFGDLL;
use unisim.BUFGMUX;
-- pragma translate_on
library techmap;
use techmap.gencomp.all;
------------------------------------------------------------------
-- Virtex2 clock generator ---------------------------------------
------------------------------------------------------------------
entity clkgen_virtex2 is
generic (
clk_mul : integer := 1;
clk_div : integer := 1;
sdramen : integer := 0;
noclkfb : integer := 0;
pcien : integer := 0;
pcidll : integer := 0;
pcisysclk: integer := 0;
freq : integer := 25000; -- clock frequency in KHz
clk2xen : integer := 0;
clksel : integer := 0); -- enable clock select
port (
clkin : in std_ulogic;
pciclkin: in std_ulogic;
clk : out std_ulogic; -- main clock
clkn : out std_ulogic; -- inverted main clock
clk2x : out std_ulogic; -- double clock
sdclk : out std_ulogic; -- SDRAM clock
pciclk : out std_ulogic; -- PCI clock
cgi : in clkgen_in_type;
cgo : out clkgen_out_type;
clk1xu : out std_ulogic; -- unscaled clock
clk2xu : out std_ulogic -- unscaled 2X clock
);
end;
architecture struct of clkgen_virtex2 is
component BUFG port (O : out std_logic; I : in std_logic); end component;
component IBUFG port (O : out std_logic; I : in std_logic); end component;
component BUFGMUX port ( O : out std_ulogic; I0 : in std_ulogic;
I1 : in std_ulogic; S : in std_ulogic);
end component;
component DCM
generic (
CLKDV_DIVIDE : real := 2.0;
CLKFX_DIVIDE : integer := 1;
CLKFX_MULTIPLY : integer := 4;
CLKIN_DIVIDE_BY_2 : boolean := false;
CLKIN_PERIOD : real := 10.0;
CLKOUT_PHASE_SHIFT : string := "NONE";
CLK_FEEDBACK : string := "1X";
DESKEW_ADJUST : string := "SYSTEM_SYNCHRONOUS";
DFS_FREQUENCY_MODE : string := "LOW";
DLL_FREQUENCY_MODE : string := "LOW";
DSS_MODE : string := "NONE";
DUTY_CYCLE_CORRECTION : boolean := true;
FACTORY_JF : bit_vector := X"C080";
PHASE_SHIFT : integer := 0;
STARTUP_WAIT : boolean := false
);
port (
CLKFB : in std_logic;
CLKIN : in std_logic;
DSSEN : in std_logic;
PSCLK : in std_logic;
PSEN : in std_logic;
PSINCDEC : in std_logic;
RST : in std_logic;
CLK0 : out std_logic;
CLK90 : out std_logic;
CLK180 : out std_logic;
CLK270 : out std_logic;
CLK2X : out std_logic;
CLK2X180 : out std_logic;
CLKDV : out std_logic;
CLKFX : out std_logic;
CLKFX180 : out std_logic;
LOCKED : out std_logic;
PSDONE : out std_logic;
STATUS : out std_logic_vector (7 downto 0));
end component;
component BUFGDLL port (O : out std_logic; I : in std_logic); end component;
constant VERSION : integer := 1;
--constant CLKIN_PERIOD_ST : string := "20.0";
--attribute CLKIN_PERIOD : string;
--attribute CLKIN_PERIOD of dll0: label is CLKIN_PERIOD_ST;
signal gnd, clk_i, clk_j, clk_k, clk_l, clk_m, clk_x, clk_n, clk_o, clk_p, clk_i2, clk_sd, clk_r, dll0rst, dll0lock, dll1lock, dll2xlock : std_logic;
signal dll1rst, dll2xrst : std_logic_vector(0 to 3);
signal clk0B, clkint, pciclkint, pciclkl, pciclkfb, pciclk0 : std_logic;
begin
gnd <= '0';
clk <= clk_i when (CLK2XEN = 0) else clk_p;
clkn <= clk_m; clk2x <= clk_i2;
c0 : if (PCISYSCLK = 0) or (PCIEN = 0) generate
clkint <= clkin;
end generate;
c2 : if PCIEN /= 0 generate
pciclkint <= pciclkin;
p3 : if PCISYSCLK = 1 generate clkint <= pciclkint; end generate;
p0 : if PCIDLL = 1 generate
x1 : BUFGDLL port map (I => pciclkint, O => pciclk);
end generate;
p1 : if PCIDLL = 0 generate
x1 : BUFG port map (I => pciclkint, O => pciclk);
end generate;
p2 : if (PCIDLL /= 0) and ( PCIDLL /= 1) generate
x1 : IBUFG port map (I => pciclkint, O => pciclkl);
dll0 : DCM
generic map (CLKOUT_PHASE_SHIFT => "FIXED", PHASE_SHIFT => PCIDLL)
port map ( CLKIN => pciclkint, CLKFB => pciclkfb,
DSSEN => gnd, PSCLK => gnd,
RST => gnd, PSEN => gnd, PSINCDEC => gnd, CLK0 => pciclk0);
x2 : BUFG port map (I => pciclk0, O => pciclkfb);
pciclk <= pciclkfb;
end generate;
end generate;
c3 : if PCIEN = 0 generate
pciclk <= '0';
end generate;
clk1xu <= clk_k;
clk2xu <= clk_x;
bufg0 : BUFG port map (I => clk0B, O => clk_i);
bufg1 : BUFG port map (I => clk_j, O => clk_k);
bufg2 : BUFG port map (I => clk_l, O => clk_m);
buf34gen : if (CLK2XEN /= 0) generate
cs0 : if (clksel = 0) generate
bufg3 : BUFG port map (I => clk_n, O => clk_i2);
end generate;
cs1 : if (clksel /= 0) generate
bufg3 : BUFGMUX port map (S => cgi.clksel(0), I0 => clk_o, I1 => clk_n, O => clk_i2);
end generate;
bufg4 : BUFG port map (I => clk_o, O => clk_p);
end generate;
dll0rst <= not cgi.pllrst;
dll0 : DCM
generic map (CLKFX_MULTIPLY => clk_mul, CLKFX_DIVIDE => clk_div)
port map ( CLKIN => clkint, CLKFB => clk_k, DSSEN => gnd, PSCLK => gnd,
PSEN => gnd, PSINCDEC => gnd, RST => dll0rst, CLK0 => clk_j,
CLKFX => clk0B, CLK2X => clk_x, CLKFX180 => clk_l, LOCKED => dll0lock);
clk2xgen : if (CLK2XEN /= 0) generate
dll2x : DCM generic map (CLKFX_MULTIPLY => 2, CLKFX_DIVIDE => 2)
port map ( CLKIN => clk_i, CLKFB => clk_p, DSSEN => gnd, PSCLK => gnd,
PSEN => gnd, PSINCDEC => gnd, RST => dll2xrst(0), CLK0 => clk_o,
CLK2X => clk_n, LOCKED => dll2xlock);
rstdel2x : process (clk_i, dll0lock)
begin
if dll0lock = '0' then dll2xrst <= (others => '1');
elsif rising_edge(clk_i) then
dll2xrst <= dll2xrst(1 to 3) & '0';
end if;
end process;
end generate;
clk_sd1 : if (CLK2XEN = 0) generate
bufg3 : BUFG port map (I => clk_x, O => clk_i2);
dll2xlock <= dll0lock;
clk_sd <= clk_i;
end generate;
clk_sd2 : if (CLK2XEN = 1) generate clk_sd <= clk_p; end generate;
clk_sd3 : if (CLK2XEN = 2) generate clk_sd <= clk_i2; end generate;
sd0 : if (SDRAMEN /= 0) and (NOCLKFB=0) generate
cgo.clklock <= dll1lock;
dll1 : DCM generic map (CLKFX_MULTIPLY => 2, CLKFX_DIVIDE => 2)
port map ( CLKIN => clk_sd, CLKFB => cgi.pllref, DSSEN => gnd, PSCLK => gnd,
PSEN => gnd, PSINCDEC => gnd, RST => dll1rst(0), CLK0 => sdclk, --CLK2X => clk2x,
LOCKED => dll1lock);
rstdel : process (clk_sd, dll2xlock)
begin
if dll2xlock = '0' then dll1rst <= (others => '1');
elsif rising_edge(clk_sd) then
dll1rst <= dll1rst(1 to 3) & '0';
end if;
end process;
end generate;
sd1 : if ((SDRAMEN = 0) or (NOCLKFB = 1)) and (CLK2XEN /= 2) generate
sdclk <= clk_i;
cgo.clklock <= dll0lock when (CLK2XEN = 0) else dll2xlock;
end generate;
sd1_2x : if ((SDRAMEN = 0) or (NOCLKFB = 1)) and (CLK2XEN = 2) generate
sdclk <= clk_i2;
cgo.clklock <= dll2xlock;
end generate;
cgo.pcilock <= '1';
-- pragma translate_off
bootmsg : report_version
generic map (
"clkgen_virtex2" & ": virtex-2 sdram/pci clock generator, version " & tost(VERSION),
"clkgen_virtex2" & ": Frequency " & tost(freq) & " KHz, DCM divisor " & tost(clk_mul) & "/" & tost(clk_div));
-- pragma translate_on
end;
library ieee;
use ieee.std_logic_1164.all;
-- pragma translate_off
library grlib;
use grlib.stdlib.all;
library unisim;
use unisim.BUFG;
use unisim.DCM;
-- pragma translate_on
library techmap;
use techmap.gencomp.all;
entity clkmul_virtex2 is
generic ( clk_mul : integer := 2 ; clk_div : integer := 2);
port (
resetin : in std_logic;
clkin : in std_logic;
clk : out std_logic;
resetout: out std_logic
);
end;
architecture struct of clkmul_virtex2 is
-- attribute CLKFX_MULTIPLY : string;
-- attribute CLKFX_DIVIDE : string;
-- attribute CLKIN_PERIOD : string;
--
-- attribute CLKFX_MULTIPLY of dll0: label is "5";
-- attribute CLKFX_DIVIDE of dll0: label is "4";
-- attribute CLKIN_PERIOD of dll0: label is "20";
--
-- attribute CLKFX_MULTIPLY of dll1: label is "4";
-- attribute CLKFX_DIVIDE of dll1: label is "4";
-- attribute CLKIN_PERIOD of dll1: label is "25";
--
component DCM
generic (
CLKDV_DIVIDE : real := 2.0;
CLKFX_DIVIDE : integer := 1;
CLKFX_MULTIPLY : integer := 4;
CLKIN_DIVIDE_BY_2 : boolean := false;
CLKIN_PERIOD : real := 10.0;
CLKOUT_PHASE_SHIFT : string := "NONE";
CLK_FEEDBACK : string := "1X";
DESKEW_ADJUST : string := "SYSTEM_SYNCHRONOUS";
DFS_FREQUENCY_MODE : string := "LOW";
DLL_FREQUENCY_MODE : string := "LOW";
DSS_MODE : string := "NONE";
DUTY_CYCLE_CORRECTION : boolean := true;
FACTORY_JF : bit_vector := X"C080";
PHASE_SHIFT : integer := 0;
STARTUP_WAIT : boolean := false
);
port (
CLKFB : in std_logic;
CLKIN : in std_logic;
DSSEN : in std_logic;
PSCLK : in std_logic;
PSEN : in std_logic;
PSINCDEC : in std_logic;
RST : in std_logic;
CLK0 : out std_logic;
CLK90 : out std_logic;
CLK180 : out std_logic;
CLK270 : out std_logic;
CLK2X : out std_logic;
CLK2X180 : out std_logic;
CLKDV : out std_logic;
CLKFX : out std_logic;
CLKFX180 : out std_logic;
LOCKED : out std_logic;
PSDONE : out std_logic;
STATUS : out std_logic_vector (7 downto 0));
end component;
component BUFG port ( O : out std_logic; I : in std_logic); end component;
signal gnd, clk_i, clk_j, clk_k, clk_l : std_logic;
signal clk0B, clk_FB, dll0rst, lock : std_logic;
begin
gnd <= '0'; clk <= clk_i;
dll0rst <= not resetin;
bufg0 : BUFG port map (I => clk0B, O => clk_i);
bufg1 : BUFG port map (I => clk_j, O => clk_k);
dll0 : DCM
generic map (CLKFX_MULTIPLY => clk_mul, CLKFX_DIVIDE => clk_div)
port map ( CLKIN => clkin, CLKFB => clk_k, DSSEN => gnd, PSCLK => gnd,
PSEN => gnd, PSINCDEC => gnd, RST => dll0rst, CLK0 => clk_j,
LOCKED => resetout, CLKFX => clk0B );
end;
library ieee;
use ieee.std_logic_1164.all;
-- pragma translate_off
library grlib;
use grlib.stdlib.all;
library unisim;
use unisim.BUFG;
use unisim.DCM;
use unisim.BUFGDLL;
use unisim.BUFGMUX;
-- pragma translate_on
library techmap;
use techmap.gencomp.all;
entity clkgen_spartan3 is
generic (
clk_mul : integer := 1;
clk_div : integer := 1;
sdramen : integer := 0;
noclkfb : integer := 0;
pcien : integer := 0;
pcidll : integer := 0;
pcisysclk: integer := 0;
freq : integer := 50000; -- clock frequency in KHz
clk2xen : integer := 0;
clksel : integer := 0); -- enable clock select
port (
clkin : in std_ulogic;
pciclkin: in std_ulogic;
clk : out std_ulogic; -- main clock
clkn : out std_ulogic; -- inverted main clock
clk2x : out std_ulogic; -- double clock
sdclk : out std_ulogic; -- SDRAM clock
pciclk : out std_ulogic; -- PCI clock
cgi : in clkgen_in_type;
cgo : out clkgen_out_type;
clk1xu : out std_ulogic; -- unscaled clock
clk2xu : out std_ulogic -- unscaled 2X clock
);
end;
architecture struct of clkgen_spartan3 is
component BUFG port (O : out std_logic; I : in std_logic); end component;
component BUFGMUX port ( O : out std_ulogic; I0 : in std_ulogic;
I1 : in std_ulogic; S : in std_ulogic);
end component;
component DCM
generic (
CLKDV_DIVIDE : real := 2.0;
CLKFX_DIVIDE : integer := 1;
CLKFX_MULTIPLY : integer := 4;
CLKIN_DIVIDE_BY_2 : boolean := false;
CLKIN_PERIOD : real := 10.0;
CLKOUT_PHASE_SHIFT : string := "NONE";
CLK_FEEDBACK : string := "1X";
DESKEW_ADJUST : string := "SYSTEM_SYNCHRONOUS";
DFS_FREQUENCY_MODE : string := "LOW";
DLL_FREQUENCY_MODE : string := "LOW";
DSS_MODE : string := "NONE";
DUTY_CYCLE_CORRECTION : boolean := true;
FACTORY_JF : bit_vector := X"C080";
PHASE_SHIFT : integer := 0;
STARTUP_WAIT : boolean := false
);
port (
CLKFB : in std_logic;
CLKIN : in std_logic;
DSSEN : in std_logic;
PSCLK : in std_logic;
PSEN : in std_logic;
PSINCDEC : in std_logic;
RST : in std_logic;
CLK0 : out std_logic;
CLK90 : out std_logic;
CLK180 : out std_logic;
CLK270 : out std_logic;
CLK2X : out std_logic;
CLK2X180 : out std_logic;
CLKDV : out std_logic;
CLKFX : out std_logic;
CLKFX180 : out std_logic;
LOCKED : out std_logic;
PSDONE : out std_logic;
STATUS : out std_logic_vector (7 downto 0));
end component;
component BUFGDLL port (O : out std_logic; I : in std_logic); end component;
constant VERSION : integer := 1;
--constant CLKIN_PERIOD_ST : string := "20.0";
--attribute CLKIN_PERIOD : string;
--attribute CLKIN_PERIOD of dll0: label is CLKIN_PERIOD_ST;
signal gnd, clk_i, clk_j, clk_k, clk_l, clk_m, clk_x, clk_n, clk_o, clk_p, clk_i2, clk_sd, clk_r, dll0rst, dll0lock, dll1lock, dll2xlock : std_logic;
signal dll1rst, dll2xrst : std_logic_vector(0 to 3);
signal clk0B, clkint, pciclkint : std_logic;
begin
gnd <= '0';
clk <= clk_i when (CLK2XEN = 0) else clk_p;
clkn <= not clk_i when (CLK2XEN = 0) else not clk_p;
clk2x <= clk_i2;
c0 : if (PCISYSCLK = 0) or (PCIEN = 0) generate
clkint <= clkin;
end generate;
c2 : if PCIEN /= 0 generate
pciclkint <= pciclkin;
p3 : if PCISYSCLK = 1 generate clkint <= pciclkint; end generate;
p0 : if PCIDLL = 1 generate
x1 : BUFGDLL port map (I => pciclkint, O => pciclk);
end generate;
p1 : if PCIDLL = 0 generate
x1 : BUFG port map (I => pciclkint, O => pciclk);
end generate;
end generate;
c3 : if PCIEN = 0 generate
pciclk <= '0';
end generate;
clk1xu <= clk_j;
clk2xu <= clk_k;
bufg0 : BUFG port map (I => clk0B, O => clk_i);
bufg1 : BUFG port map (I => clk_x, O => clk_k);
buf34gen : if (CLK2XEN /= 0) generate
cs0 : if (clksel = 0) generate
bufg3 : BUFG port map (I => clk_n, O => clk_i2);
end generate;
cs1 : if (clksel /= 0) generate
bufg3 : BUFGMUX port map (S => cgi.clksel(0), I0 => clk_o, I1 => clk_n, O => clk_i2);
end generate;
bufg4 : BUFG port map (I => clk_o, O => clk_p);
end generate;
dll0rst <= not cgi.pllrst;
dll0 : DCM
generic map (CLKFX_MULTIPLY => clk_mul, CLKFX_DIVIDE => clk_div,
CLK_FEEDBACK => "2X")
port map ( CLKIN => clkint, CLKFB => clk_k, DSSEN => gnd, PSCLK => gnd,
PSEN => gnd, PSINCDEC => gnd, RST => dll0rst, CLK0 => clk_j,
CLKFX => clk0B, CLK2X => clk_x, CLKFX180 => clk_l, LOCKED => dll0lock);
clk2xgen : if (CLK2XEN /= 0) generate
dll2x : DCM generic map (CLKFX_MULTIPLY => 2, CLKFX_DIVIDE => 2)
port map ( CLKIN => clk_i, CLKFB => clk_p, DSSEN => gnd, PSCLK => gnd,
PSEN => gnd, PSINCDEC => gnd, RST => dll2xrst(0), CLK0 => clk_o,
CLK2X => clk_n, LOCKED => dll2xlock);
rstdel2x : process (clk_i, dll0lock)
begin
if dll0lock = '0' then dll2xrst <= (others => '1');
elsif rising_edge(clk_i) then
dll2xrst <= dll2xrst(1 to 3) & '0';
end if;
end process;
end generate;
clk_sd1 : if (CLK2XEN = 0) generate
clk_i2 <= clk_k;
dll2xlock <= dll0lock;
clk_sd <= clk_i;
end generate;
clk_sd2 : if (CLK2XEN = 1) generate clk_sd <= clk_p; end generate;
clk_sd3 : if (CLK2XEN = 2) generate clk_sd <= clk_i2; end generate;
sd0 : if (SDRAMEN /= 0) and (NOCLKFB=0) generate
cgo.clklock <= dll1lock;
dll1 : DCM generic map (CLKFX_MULTIPLY => 2, CLKFX_DIVIDE => 2)
port map ( CLKIN => clk_sd, CLKFB => cgi.pllref, DSSEN => gnd, PSCLK => gnd,
PSEN => gnd, PSINCDEC => gnd, RST => dll1rst(0), CLK0 => sdclk, --CLK2X => clk2x,
LOCKED => dll1lock);
rstdel : process (clk_sd, dll2xlock)
begin
if dll2xlock = '0' then dll1rst <= (others => '1');
elsif rising_edge(clk_sd) then
dll1rst <= dll1rst(1 to 3) & '0';
end if;
end process;
end generate;
sd1 : if ((SDRAMEN = 0) or (NOCLKFB = 1)) and (CLK2XEN /= 2) generate
sdclk <= clk_i;
cgo.clklock <= dll0lock when (CLK2XEN = 0) else dll2xlock;
end generate;
sd1_2x : if ((SDRAMEN = 0) or (NOCLKFB = 1)) and (CLK2XEN = 2) generate
sdclk <= clk_i2;
cgo.clklock <= dll2xlock;
end generate;
cgo.pcilock <= '1';
-- pragma translate_off
bootmsg : report_version
generic map (
"clkgen_spartan3e" & ": spartan3/e sdram/pci clock generator, version " & tost(VERSION),
"clkgen_spartan3e" & ": Frequency " & tost(freq) & " KHz, DCM divisor " & tost(clk_mul) & "/" & tost(clk_div));
-- pragma translate_on
end;
|
entity repro is
end repro;
architecture behav of repro is
signal clk : bit;
signal cyc: bit;
signal wen : bit;
signal lw : bit;
begin
-- psl default clock is clk;
-- psl c1: assert always lw -> cyc and (next not(wen))
-- report "error";
end;
|
-- -------------------------------------------------------------
--
-- File Name: hdl_prj/hdlsrc/hdl_ofdm_tx/TWDLROM_3_14.vhd
-- Created: 2018-02-27 13:25:18
--
-- Generated by MATLAB 9.3 and HDL Coder 3.11
--
-- -------------------------------------------------------------
-- -------------------------------------------------------------
--
-- Module: TWDLROM_3_14
-- Source Path: hdl_ofdm_tx/ifft/TWDLROM_3_14
-- Hierarchy Level: 2
--
-- -------------------------------------------------------------
LIBRARY IEEE;
USE IEEE.std_logic_1164.ALL;
USE IEEE.numeric_std.ALL;
USE work.hdl_ofdm_tx_pkg.ALL;
ENTITY TWDLROM_3_14 IS
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
dout_2_vld : IN std_logic;
softReset : IN std_logic;
twdl_3_14_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_14_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_14_vld : OUT std_logic
);
END TWDLROM_3_14;
ARCHITECTURE rtl OF TWDLROM_3_14 IS
-- Constants
CONSTANT Twiddle_re_table_data : vector_of_signed16(0 TO 1) :=
(to_signed(16#4000#, 16), to_signed(16#3B21#, 16)); -- sfix16 [2]
CONSTANT Twiddle_im_table_data : vector_of_signed16(0 TO 1) :=
(to_signed(16#0000#, 16), to_signed(-16#187E#, 16)); -- sfix16 [2]
-- Signals
SIGNAL Radix22TwdlMapping_cnt : unsigned(1 DOWNTO 0); -- ufix2
SIGNAL Radix22TwdlMapping_phase : unsigned(1 DOWNTO 0); -- ufix2
SIGNAL Radix22TwdlMapping_octantReg1 : unsigned(2 DOWNTO 0); -- ufix3
SIGNAL Radix22TwdlMapping_twdlAddr_raw : unsigned(3 DOWNTO 0); -- ufix4
SIGNAL Radix22TwdlMapping_twdlAddrMap : std_logic; -- ufix1
SIGNAL Radix22TwdlMapping_twdl45Reg : std_logic;
SIGNAL Radix22TwdlMapping_dvldReg1 : std_logic;
SIGNAL Radix22TwdlMapping_dvldReg2 : std_logic;
SIGNAL Radix22TwdlMapping_cnt_next : unsigned(1 DOWNTO 0); -- ufix2
SIGNAL Radix22TwdlMapping_phase_next : unsigned(1 DOWNTO 0); -- ufix2
SIGNAL Radix22TwdlMapping_octantReg1_next : unsigned(2 DOWNTO 0); -- ufix3
SIGNAL Radix22TwdlMapping_twdlAddr_raw_next : unsigned(3 DOWNTO 0); -- ufix4
SIGNAL Radix22TwdlMapping_twdlAddrMap_next : std_logic; -- ufix1
SIGNAL Radix22TwdlMapping_twdl45Reg_next : std_logic;
SIGNAL Radix22TwdlMapping_dvldReg1_next : std_logic;
SIGNAL Radix22TwdlMapping_dvldReg2_next : std_logic;
SIGNAL twdlAddr : std_logic; -- ufix1
SIGNAL twdlAddrVld : std_logic;
SIGNAL twdlOctant : unsigned(2 DOWNTO 0); -- ufix3
SIGNAL twdl45 : std_logic;
SIGNAL Twiddle_re_cast : signed(31 DOWNTO 0); -- int32
SIGNAL twiddleS_re : signed(15 DOWNTO 0); -- sfix16_En14
SIGNAL twiddleReg_re : signed(15 DOWNTO 0); -- sfix16_En14
SIGNAL Twiddle_im_cast : signed(31 DOWNTO 0); -- int32
SIGNAL twiddleS_im : signed(15 DOWNTO 0); -- sfix16_En14
SIGNAL twiddleReg_im : signed(15 DOWNTO 0); -- sfix16_En14
SIGNAL twdlOctantReg : unsigned(2 DOWNTO 0); -- ufix3
SIGNAL twdl45Reg : std_logic;
SIGNAL twdl_3_14_re_tmp : signed(15 DOWNTO 0); -- sfix16_En14
SIGNAL twdl_3_14_im_tmp : signed(15 DOWNTO 0); -- sfix16_En14
BEGIN
-- Radix22TwdlMapping
Radix22TwdlMapping_process : PROCESS (clk, reset)
BEGIN
IF reset = '1' THEN
Radix22TwdlMapping_octantReg1 <= to_unsigned(16#0#, 3);
Radix22TwdlMapping_twdlAddr_raw <= to_unsigned(16#0#, 4);
Radix22TwdlMapping_twdlAddrMap <= '0';
Radix22TwdlMapping_twdl45Reg <= '0';
Radix22TwdlMapping_dvldReg1 <= '0';
Radix22TwdlMapping_dvldReg2 <= '0';
Radix22TwdlMapping_cnt <= to_unsigned(16#3#, 2);
Radix22TwdlMapping_phase <= to_unsigned(16#1#, 2);
ELSIF clk'EVENT AND clk = '1' THEN
IF enb_1_16_0 = '1' THEN
Radix22TwdlMapping_cnt <= Radix22TwdlMapping_cnt_next;
Radix22TwdlMapping_phase <= Radix22TwdlMapping_phase_next;
Radix22TwdlMapping_octantReg1 <= Radix22TwdlMapping_octantReg1_next;
Radix22TwdlMapping_twdlAddr_raw <= Radix22TwdlMapping_twdlAddr_raw_next;
Radix22TwdlMapping_twdlAddrMap <= Radix22TwdlMapping_twdlAddrMap_next;
Radix22TwdlMapping_twdl45Reg <= Radix22TwdlMapping_twdl45Reg_next;
Radix22TwdlMapping_dvldReg1 <= Radix22TwdlMapping_dvldReg1_next;
Radix22TwdlMapping_dvldReg2 <= Radix22TwdlMapping_dvldReg2_next;
END IF;
END IF;
END PROCESS Radix22TwdlMapping_process;
Radix22TwdlMapping_output : PROCESS (Radix22TwdlMapping_cnt, Radix22TwdlMapping_phase,
Radix22TwdlMapping_octantReg1, Radix22TwdlMapping_twdlAddr_raw,
Radix22TwdlMapping_twdlAddrMap, Radix22TwdlMapping_twdl45Reg,
Radix22TwdlMapping_dvldReg1, Radix22TwdlMapping_dvldReg2, dout_2_vld)
VARIABLE octant : unsigned(2 DOWNTO 0);
VARIABLE addr_cast : unsigned(3 DOWNTO 0);
VARIABLE c : unsigned(1 DOWNTO 0);
VARIABLE sub_cast : signed(9 DOWNTO 0);
VARIABLE sub_temp : signed(9 DOWNTO 0);
VARIABLE sub_cast_0 : signed(5 DOWNTO 0);
VARIABLE sub_temp_0 : signed(5 DOWNTO 0);
VARIABLE sub_cast_1 : signed(5 DOWNTO 0);
VARIABLE sub_temp_1 : signed(5 DOWNTO 0);
VARIABLE sub_cast_2 : signed(9 DOWNTO 0);
VARIABLE sub_temp_2 : signed(9 DOWNTO 0);
VARIABLE sub_cast_3 : signed(9 DOWNTO 0);
VARIABLE sub_temp_3 : signed(9 DOWNTO 0);
BEGIN
Radix22TwdlMapping_cnt_next <= Radix22TwdlMapping_cnt;
Radix22TwdlMapping_phase_next <= Radix22TwdlMapping_phase;
Radix22TwdlMapping_twdlAddr_raw_next <= Radix22TwdlMapping_twdlAddr_raw;
Radix22TwdlMapping_twdlAddrMap_next <= Radix22TwdlMapping_twdlAddrMap;
Radix22TwdlMapping_twdl45Reg_next <= Radix22TwdlMapping_twdl45Reg;
Radix22TwdlMapping_dvldReg2_next <= Radix22TwdlMapping_dvldReg1;
Radix22TwdlMapping_dvldReg1_next <= dout_2_vld;
CASE Radix22TwdlMapping_twdlAddr_raw IS
WHEN "0010" =>
octant := to_unsigned(16#0#, 3);
Radix22TwdlMapping_twdl45Reg_next <= '1';
WHEN "0100" =>
octant := to_unsigned(16#1#, 3);
Radix22TwdlMapping_twdl45Reg_next <= '0';
WHEN "0110" =>
octant := to_unsigned(16#2#, 3);
Radix22TwdlMapping_twdl45Reg_next <= '1';
WHEN "1000" =>
octant := to_unsigned(16#3#, 3);
Radix22TwdlMapping_twdl45Reg_next <= '0';
WHEN "1010" =>
octant := to_unsigned(16#4#, 3);
Radix22TwdlMapping_twdl45Reg_next <= '1';
WHEN OTHERS =>
octant := Radix22TwdlMapping_twdlAddr_raw(3 DOWNTO 1);
Radix22TwdlMapping_twdl45Reg_next <= '0';
END CASE;
Radix22TwdlMapping_octantReg1_next <= octant;
CASE octant IS
WHEN "000" =>
Radix22TwdlMapping_twdlAddrMap_next <= Radix22TwdlMapping_twdlAddr_raw(0);
WHEN "001" =>
sub_cast_0 := signed(resize(Radix22TwdlMapping_twdlAddr_raw, 6));
sub_temp_0 := to_signed(16#04#, 6) - sub_cast_0;
Radix22TwdlMapping_twdlAddrMap_next <= sub_temp_0(0);
WHEN "010" =>
sub_cast_1 := signed(resize(Radix22TwdlMapping_twdlAddr_raw, 6));
sub_temp_1 := sub_cast_1 - to_signed(16#04#, 6);
Radix22TwdlMapping_twdlAddrMap_next <= sub_temp_1(0);
WHEN "011" =>
sub_cast_2 := signed(resize(Radix22TwdlMapping_twdlAddr_raw & '0', 10));
sub_temp_2 := to_signed(16#010#, 10) - sub_cast_2;
Radix22TwdlMapping_twdlAddrMap_next <= sub_temp_2(1);
WHEN "100" =>
sub_cast_3 := signed(resize(Radix22TwdlMapping_twdlAddr_raw & '0', 10));
sub_temp_3 := sub_cast_3 - to_signed(16#010#, 10);
Radix22TwdlMapping_twdlAddrMap_next <= sub_temp_3(1);
WHEN OTHERS =>
sub_cast := signed(resize(Radix22TwdlMapping_twdlAddr_raw & '0', 10));
sub_temp := to_signed(16#018#, 10) - sub_cast;
Radix22TwdlMapping_twdlAddrMap_next <= sub_temp(1);
END CASE;
c := unsigned'(Radix22TwdlMapping_cnt(0) & Radix22TwdlMapping_cnt(1));
IF Radix22TwdlMapping_phase = to_unsigned(16#0#, 2) THEN
Radix22TwdlMapping_twdlAddr_raw_next <= to_unsigned(16#0#, 4);
ELSIF Radix22TwdlMapping_phase = to_unsigned(16#1#, 2) THEN
Radix22TwdlMapping_twdlAddr_raw_next <= resize(c, 4);
ELSIF Radix22TwdlMapping_phase = to_unsigned(16#2#, 2) THEN
Radix22TwdlMapping_twdlAddr_raw_next <= resize(c, 4) sll 1;
ELSE
addr_cast := resize(c, 4);
Radix22TwdlMapping_twdlAddr_raw_next <= (addr_cast sll 1) + addr_cast;
END IF;
IF dout_2_vld = '1' THEN
Radix22TwdlMapping_cnt_next <= Radix22TwdlMapping_cnt + to_unsigned(16#000000004#, 2);
END IF;
twdlAddr <= Radix22TwdlMapping_twdlAddrMap;
twdlAddrVld <= Radix22TwdlMapping_dvldReg2;
twdlOctant <= Radix22TwdlMapping_octantReg1;
twdl45 <= Radix22TwdlMapping_twdl45Reg;
END PROCESS Radix22TwdlMapping_output;
-- Twiddle ROM1
Twiddle_re_cast <= '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & twdlAddr;
twiddleS_re <= Twiddle_re_table_data(to_integer(Twiddle_re_cast));
TWIDDLEROM_RE_process : PROCESS (clk, reset)
BEGIN
IF reset = '1' THEN
twiddleReg_re <= to_signed(16#0000#, 16);
ELSIF clk'EVENT AND clk = '1' THEN
IF enb_1_16_0 = '1' THEN
twiddleReg_re <= twiddleS_re;
END IF;
END IF;
END PROCESS TWIDDLEROM_RE_process;
-- Twiddle ROM2
Twiddle_im_cast <= '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & twdlAddr;
twiddleS_im <= Twiddle_im_table_data(to_integer(Twiddle_im_cast));
TWIDDLEROM_IM_process : PROCESS (clk, reset)
BEGIN
IF reset = '1' THEN
twiddleReg_im <= to_signed(16#0000#, 16);
ELSIF clk'EVENT AND clk = '1' THEN
IF enb_1_16_0 = '1' THEN
twiddleReg_im <= twiddleS_im;
END IF;
END IF;
END PROCESS TWIDDLEROM_IM_process;
intdelay_process : PROCESS (clk, reset)
BEGIN
IF reset = '1' THEN
twdlOctantReg <= to_unsigned(16#0#, 3);
ELSIF clk'EVENT AND clk = '1' THEN
IF enb_1_16_0 = '1' THEN
twdlOctantReg <= twdlOctant;
END IF;
END IF;
END PROCESS intdelay_process;
intdelay_1_process : PROCESS (clk, reset)
BEGIN
IF reset = '1' THEN
twdl45Reg <= '0';
ELSIF clk'EVENT AND clk = '1' THEN
IF enb_1_16_0 = '1' THEN
twdl45Reg <= twdl45;
END IF;
END IF;
END PROCESS intdelay_1_process;
-- Radix22TwdlOctCorr
Radix22TwdlOctCorr_output : PROCESS (twiddleReg_re, twiddleReg_im, twdlOctantReg, twdl45Reg)
VARIABLE twdlIn_re : signed(15 DOWNTO 0);
VARIABLE twdlIn_im : signed(15 DOWNTO 0);
VARIABLE cast : signed(16 DOWNTO 0);
VARIABLE cast_0 : signed(16 DOWNTO 0);
VARIABLE cast_1 : signed(16 DOWNTO 0);
VARIABLE cast_2 : signed(16 DOWNTO 0);
VARIABLE cast_3 : signed(16 DOWNTO 0);
VARIABLE cast_4 : signed(16 DOWNTO 0);
VARIABLE cast_5 : signed(16 DOWNTO 0);
VARIABLE cast_6 : signed(16 DOWNTO 0);
VARIABLE cast_7 : signed(16 DOWNTO 0);
VARIABLE cast_8 : signed(16 DOWNTO 0);
VARIABLE cast_9 : signed(16 DOWNTO 0);
VARIABLE cast_10 : signed(16 DOWNTO 0);
BEGIN
twdlIn_re := twiddleReg_re;
twdlIn_im := twiddleReg_im;
IF twdl45Reg = '1' THEN
CASE twdlOctantReg IS
WHEN "000" =>
twdlIn_re := to_signed(16#2D41#, 16);
twdlIn_im := to_signed(-16#2D41#, 16);
WHEN "010" =>
twdlIn_re := to_signed(-16#2D41#, 16);
twdlIn_im := to_signed(-16#2D41#, 16);
WHEN "100" =>
twdlIn_re := to_signed(-16#2D41#, 16);
twdlIn_im := to_signed(16#2D41#, 16);
WHEN OTHERS =>
twdlIn_re := to_signed(16#2D41#, 16);
twdlIn_im := to_signed(-16#2D41#, 16);
END CASE;
ELSE
CASE twdlOctantReg IS
WHEN "000" =>
NULL;
WHEN "001" =>
cast := resize(twiddleReg_im, 17);
cast_0 := - (cast);
twdlIn_re := cast_0(15 DOWNTO 0);
cast_5 := resize(twiddleReg_re, 17);
cast_6 := - (cast_5);
twdlIn_im := cast_6(15 DOWNTO 0);
WHEN "010" =>
twdlIn_re := twiddleReg_im;
cast_7 := resize(twiddleReg_re, 17);
cast_8 := - (cast_7);
twdlIn_im := cast_8(15 DOWNTO 0);
WHEN "011" =>
cast_1 := resize(twiddleReg_re, 17);
cast_2 := - (cast_1);
twdlIn_re := cast_2(15 DOWNTO 0);
twdlIn_im := twiddleReg_im;
WHEN "100" =>
cast_3 := resize(twiddleReg_re, 17);
cast_4 := - (cast_3);
twdlIn_re := cast_4(15 DOWNTO 0);
cast_9 := resize(twiddleReg_im, 17);
cast_10 := - (cast_9);
twdlIn_im := cast_10(15 DOWNTO 0);
WHEN OTHERS =>
twdlIn_re := twiddleReg_im;
twdlIn_im := twiddleReg_re;
END CASE;
END IF;
twdl_3_14_re_tmp <= twdlIn_re;
twdl_3_14_im_tmp <= twdlIn_im;
END PROCESS Radix22TwdlOctCorr_output;
twdl_3_14_re <= std_logic_vector(twdl_3_14_re_tmp);
twdl_3_14_im <= std_logic_vector(twdl_3_14_im_tmp);
intdelay_2_process : PROCESS (clk, reset)
BEGIN
IF reset = '1' THEN
twdl_3_14_vld <= '0';
ELSIF clk'EVENT AND clk = '1' THEN
IF enb_1_16_0 = '1' THEN
twdl_3_14_vld <= twdlAddrVld;
END IF;
END IF;
END PROCESS intdelay_2_process;
END rtl;
|
--
-- \file conv_filter3x3.vhd
--
-- Implements a configurable 3x3 convolution kernel
--
-- \author Andreas Agne <[email protected]>
-- \date 21.11.2007
--
-----------------------------------------------------------------------------
-- %%%RECONOS_COPYRIGHT_BEGIN%%%
--
-- This file is part of ReconOS (http://www.reconos.de).
-- Copyright (c) 2006-2010 The ReconOS Project and contributors (see AUTHORS).
-- All rights reserved.
--
-- ReconOS is free software: you can redistribute it and/or modify it under
-- the terms of the GNU General Public License as published by the Free
-- Software Foundation, either version 3 of the License, or (at your option)
-- any later version.
--
-- ReconOS is distributed in the hope that it will be useful, but WITHOUT ANY
-- WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-- FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
-- details.
--
-- You should have received a copy of the GNU General Public License along
-- with ReconOS. If not, see <http://www.gnu.org/licenses/>.
--
-- %%%RECONOS_COPYRIGHT_END%%%
-----------------------------------------------------------------------------
--
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.STD_LOGIC_ARITH.ALL;
use IEEE.STD_LOGIC_UNSIGNED.ALL;
---- Uncomment the following library declaration if instantiating
---- any Xilinx primitives in this code.
--library UNISIM;
--use UNISIM.VComponents.all;
entity conv_filter3x3 is
Port (
clk : in STD_LOGIC;
rst : in STD_LOGIC;
ien : in STD_LOGIC;
shift_in : in STD_LOGIC_VECTOR (23 downto 0);
shift_out : out STD_LOGIC_VECTOR (7 downto 0);
kernel : in STD_LOGIC_VECTOR (80 downto 0) -- 9x9
);
end conv_filter3x3;
architecture Behavioral of conv_filter3x3 is
type t_state is ( STATE_ADD,
STATE_SHIFT_OUT);
signal state : t_state;
signal row_a : std_logic_vector(23 downto 0);
signal row_b : std_logic_vector(23 downto 0);
signal row_c : std_logic_vector(23 downto 0);
signal pixels : std_logic_vector(71 downto 0); -- 9 pixels x 8 bit
signal p0,p1,p2,p3,p4,p5,p6,p7,p8 : std_logic_vector(7 downto 0);
signal k0,k1,k2,k3,k4,k5,k6,k7,k8 : std_logic_vector(8 downto 0);
signal m0,m1,m2,m3,m4,m5,m6,m7,m8 : std_logic_vector(15 downto 0);
function my_sum(sign : std_logic_vector(8 downto 0);
m0 : std_logic_vector(15 downto 0);
m1 : std_logic_vector(15 downto 0);
m2 : std_logic_vector(15 downto 0);
m3 : std_logic_vector(15 downto 0);
m4 : std_logic_vector(15 downto 0);
m5 : std_logic_vector(15 downto 0);
m6 : std_logic_vector(15 downto 0);
m7 : std_logic_vector(15 downto 0);
m8 : std_logic_vector(15 downto 0)) return std_logic_vector is
variable s : std_logic_vector(19 downto 0);
variable s0 : std_logic_vector(19 downto 0);
variable s1 : std_logic_vector(19 downto 0);
variable s2 : std_logic_vector(19 downto 0);
variable s3 : std_logic_vector(19 downto 0);
variable s4 : std_logic_vector(19 downto 0);
variable s5 : std_logic_vector(19 downto 0);
variable result : std_logic_vector(7 downto 0);
begin
s0 := X"20000";
s1 := X"20000";
s2 := X"20000";
s3 := X"20000";
if sign(0) = '0' then s0 := s0 + m0(15 downto 4);
else s0 := s0 - m0(15 downto 4); end if;
if sign(1) = '0' then s0 := s0 + m1(15 downto 4);
else s0 := s0 - m1(15 downto 4); end if;
if sign(2) = '0' then s1 := s1 + m2(15 downto 4);
else s1 := s1 - m2(15 downto 4); end if;
if sign(3) = '0' then s1 := s1 + m3(15 downto 4);
else s1 := s1 - m3(15 downto 4); end if;
if sign(4) = '0' then s2 := s2 + m4(15 downto 4);
else s2 := s2 - m4(15 downto 4); end if;
if sign(5) = '0' then s2 := s2 + m5(15 downto 4);
else s2 := s2 - m5(15 downto 4); end if;
if sign(6) = '0' then s3 := s3 + m6(15 downto 4);
else s3 := s3 - m6(15 downto 4); end if;
if sign(7) = '0' then s3 := s3 + m7(15 downto 4);
else s3 := s3 - m7(15 downto 4); end if;
if sign(8) = '0' then s3 := s3 + m8(15 downto 4);
else s3 := s3 - m8(15 downto 4); end if;
s4 := s0 + s1;
s5 := s2 + s3;
s := s4 + s5;
if s > X"800FF" then
result := X"FF";
elsif s < X"80000" then
result := X"00";
else
result := s(7 downto 0);
end if;
return result;
end function;
begin
pixels <= row_a & row_b & row_c;
p0 <= pixels(1*8-1 downto 0*8);
p1 <= pixels(2*8-1 downto 1*8);
p2 <= pixels(3*8-1 downto 2*8);
p3 <= pixels(4*8-1 downto 3*8);
p4 <= pixels(5*8-1 downto 4*8);
p5 <= pixels(6*8-1 downto 5*8);
p6 <= pixels(7*8-1 downto 6*8);
p7 <= pixels(8*8-1 downto 7*8);
p8 <= pixels(9*8-1 downto 8*8);
k0 <= kernel(1*9-1 downto 0*9);
k1 <= kernel(2*9-1 downto 1*9);
k2 <= kernel(3*9-1 downto 2*9);
k3 <= kernel(4*9-1 downto 3*9);
k4 <= kernel(5*9-1 downto 4*9);
k5 <= kernel(6*9-1 downto 5*9);
k6 <= kernel(7*9-1 downto 6*9);
k7 <= kernel(8*9-1 downto 7*9);
k8 <= kernel(9*9-1 downto 8*9);
shift : process(clk, rst)
variable sum : std_logic_vector(15 downto 0);
begin
if rising_edge(clk) then
if ien = '1' then
row_a <= shift_in;
row_b <= row_a;
row_c <= row_b;
end if;
m0 <= p0*k0(7 downto 0);
m1 <= p1*k1(7 downto 0);
m2 <= p2*k2(7 downto 0);
m3 <= p3*k3(7 downto 0);
m4 <= p4*k4(7 downto 0);
m5 <= p5*k5(7 downto 0);
m6 <= p6*k6(7 downto 0);
m7 <= p7*k7(7 downto 0);
m8 <= p8*k8(7 downto 0);
shift_out <= my_sum(k0(8)&k1(8)&k2(8)&k3(8)&k4(8)&k5(8)&k6(8)&k7(8)&k8(8),
m0 ,m1 ,m2 ,m3 ,m4 ,m5 ,m6 ,m7 ,m8);
end if;
end process;
end Behavioral;
|
LIBRARY ieee;
USE ieee.std_logic_1164.ALL;
ENTITY TB_RS232 IS
END TB_RS232;
ARCHITECTURE behavior OF TB_RS232 IS
-- Component Declaration for the Unit Under Test (UUT)
COMPONENT RS232
PORT(
clk : IN std_logic;
Entrada_8bits : IN std_logic_vector(7 downto 0);
Activador_Envio_Mensaje : IN std_logic;
Salida_1bit : OUT std_logic;
Entrada_1bit : IN std_logic;
Mensaje_8bits : OUT std_logic_vector(7 downto 0);
Activador_Entrega_Mensaje : OUT std_logic
);
END COMPONENT;
--Inputs
signal clk : std_logic := '0';
signal Entrada_8bits : std_logic_vector(7 downto 0) := (others => '0');
signal Activador_Envio_Mensaje : std_logic := '0';
signal Entrada_1bit : std_logic := '0';
--Outputs
signal Salida_1bit : std_logic;
signal Mensaje_8bits : std_logic_vector(7 downto 0);
signal Div_Frec_AUX : STD_LOGIC;
signal Activador_Entrega_Mensaje : std_logic;
-- Clock period definitions
constant clk_period : time := 20 ns;
BEGIN
-- Instantiate the Unit Under Test (UUT)
uut: RS232 PORT MAP (
clk => clk,
Entrada_8bits => Entrada_8bits,
Activador_Envio_Mensaje => Activador_Envio_Mensaje,
Salida_1bit => Salida_1bit,
Entrada_1bit => Entrada_1bit,
Mensaje_8bits => Mensaje_8bits,
Activador_Entrega_Mensaje => Activador_Entrega_Mensaje
);
-- Clock process definitions
clk_process :process
begin
clk <= '0';
wait for clk_period/2;
clk <= '1';
wait for clk_period/2;
end process;
-- Stimulus process
stim_proc: process
begin
Entrada_8bits <= "00110011";
Activador_Envio_Mensaje <= '0';
Entrada_1bit <= '1';
wait for 0.2 ms;
Activador_Envio_Mensaje <= '1';
wait for 0.10416 ms;
Activador_Envio_Mensaje <= '0';
-- IDLE --
Entrada_1bit <= '1';
wait for 0.10416 ms;
Entrada_1bit <= '1';
wait for 0.10416 ms;
Entrada_1bit <= '1';
wait for 0.10416 ms;
-- BIT DE INICIO --
Entrada_1bit <= '0';
wait for 0.10416 ms;
-- BIT Numero 1 --
Entrada_1bit <= '1';
wait for 0.10416 ms;
-- 2
Entrada_1bit <= '1';
wait for 0.10416 ms;
-- 3
Entrada_1bit <= '1';
wait for 0.10416 ms;
-- 4
Entrada_1bit <= '1';
wait for 0.10416 ms;
-- 5
Entrada_1bit <= '1';
wait for 0.10416 ms;
-- 6
Entrada_1bit <= '1';
wait for 0.10416 ms;
-- 7
Entrada_1bit <= '1';
wait for 0.10416 ms;
-- 8
Entrada_1bit <= '1';
wait for 0.10416 ms;
-- BIT DE PARIDAD --
Entrada_1bit <= '0';
wait for 0.10416 ms;
-- BIT DE FINALIZACION --
Entrada_1bit <= '1';
wait for 0.10416 ms;
-- BIT DE FINALIZACION --
Entrada_1bit <= '1';
wait for 0.10416 ms;
-- IDLE --
Entrada_1bit <= '1';
wait for 0.10416 ms;
Entrada_1bit <= '1';
wait for 0.10416 ms;
Entrada_1bit <= '1';
wait for 0.10416 ms;
-- BIT DE INICIO --
Entrada_1bit <= '0';
wait for 0.10416 ms;
-- BIT Numero 1 --
Entrada_1bit <= '0';
wait for 0.10416 ms;
-- 2
Entrada_1bit <= '1';
wait for 0.10416 ms;
-- 3
Entrada_1bit <= '0';
wait for 0.10416 ms;
-- 4
Entrada_1bit <= '1';
wait for 0.10416 ms;
-- 5
Entrada_1bit <= '0';
wait for 0.10416 ms;
-- 6
Entrada_1bit <= '1';
wait for 0.10416 ms;
-- 7
Entrada_1bit <= '0';
wait for 0.10416 ms;
-- 8
Entrada_1bit <= '1';
wait for 0.10416 ms;
-- BIT DE PARIDAD --
Entrada_1bit <= '0';
wait for 0.10416 ms;
-- BIT DE FINALIZACION --
Entrada_1bit <= '1';
wait for 0.10416 ms;
-- BIT DE FINALIZACION --
Entrada_1bit <= '1';
wait for 0.10416 ms;
-- IDLE --
Entrada_1bit <= '1';
wait for 0.10416 ms;
Entrada_1bit <= '1';
wait for 0.10416 ms;
Entrada_1bit <= '1';
wait for 0.10416 ms;
-- BIT DE INICIO --
Entrada_1bit <= '0';
wait for 0.10416 ms;
-- BIT Numero 1 --
Entrada_1bit <= '1';
wait for 0.10416 ms;
-- 2
Entrada_1bit <= '1';
wait for 0.10416 ms;
-- 3
Entrada_1bit <= '1';
wait for 0.10416 ms;
-- 4
Entrada_1bit <= '1';
wait for 0.10416 ms;
-- 5
Entrada_1bit <= '1';
wait for 0.10416 ms;
-- 6
Entrada_1bit <= '1';
wait for 0.10416 ms;
-- 7
Entrada_1bit <= '1';
wait for 0.10416 ms;
-- 8
Entrada_1bit <= '1';
wait for 0.10416 ms;
-- BIT DE PARIDAD --
Entrada_1bit <= '0';
wait for 0.10416 ms;
-- BIT DE FINALIZACION --
Entrada_1bit <= '1';
wait for 0.10416 ms;
-- BIT DE FINALIZACION --
Entrada_1bit <= '1';
wait for 0.10416 ms;
Entrada_1bit <= '1';
wait for 10 ms;
Entrada_1bit <= '0';
wait for 2 ms;
Entrada_1bit <= '1';
wait;
end process;
END;
|
architecture RTL of FIFO is
begin
-- Test generate_statement_body
LABEL_1 : for i in 0 to 7 generate
signal blah : std_logic;
begin
a <= blah;
end;
end generate LABEL3;
-- Test generate_statement_body
LABEL_2 : for i in 0 to 7 generate
begin
a <= blah;
end;
end generate LABEL3;
-- Test generate_statement_body
LABEL_3 : for i in 0 to 7 generate
begin
a <= blah;
end generate LABEL3;
end architecture RTL;
|
--================================================================================================================================
-- Copyright 2020 Bitvis
-- Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License.
-- You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 and in the provided LICENSE.TXT.
--
-- Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
-- an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-- See the License for the specific language governing permissions and limitations under the License.
--================================================================================================================================
-- Note : Any functionality not explicitly described in the documentation is subject to change at any time
----------------------------------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------
-- Description : See library quick reference (under 'doc') and README-file(s)
------------------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
use work.types_pkg.all;
use work.adaptations_pkg.all;
use work.methods_pkg.all;
use work.string_methods_pkg.all;
use work.data_queue_pkg.all;
package data_stack_pkg is
shared variable shared_data_stack : t_data_queue;
------------------------------------------
-- uvvm_stack_init
------------------------------------------
-- This function allocates space in the buffer and returns an index that
-- must be used to access the stack.
--
-- - Parameters:
-- - buffer_size_in_bits (natural) - The size of the stack
--
-- - Returns: The index of the initiated stack (natural).
-- Returns 0 on error.
--
impure function uvvm_stack_init(
buffer_size_in_bits : natural
) return natural;
------------------------------------------
-- uvvm_stack_init
------------------------------------------
-- This procedure allocates space in the buffer at the given buffer_idx.
--
-- - Parameters:
-- - buffer_idx - The index of the stack (natural)
-- that shall be initialized.
-- - buffer_size_in_bits (natural) - The size of the stack
--
procedure uvvm_stack_init(
buffer_index : natural;
buffer_size_in_bits : natural
);
------------------------------------------
-- uvvm_stack_push
------------------------------------------
-- This procedure puts data into a stack with index buffer_idx.
-- The size of the data is unconstrained, meaning that
-- it can be any size. Pushing data with a size that is
-- larger than the stack size results in wrapping, i.e.,
-- that when reaching the end the data remaining will over-
-- write the data that was written first.
--
-- - Parameters:
-- - buffer_idx - The index of the stack (natural)
-- that shall be pushed to.
-- - data - The data that shall be pushed (slv)
--
procedure uvvm_stack_push(
buffer_index : natural;
data : std_logic_vector
);
------------------------------------------
-- uvvm_stack_pop
------------------------------------------
-- This function returns the data from the stack
-- and removes the returned data from the stack.
--
-- - Parameters:
-- - buffer_idx - The index of the stack (natural)
-- that shall be read.
-- - entry_size_in_bits - The size of the returned slv (natural)
--
-- - Returns: Data from the stack (slv). The size of the
-- return data is given by the entry_size_in_bits parameter.
-- Attempting to pop from an empty stack is allowed but triggers a
-- TB_WARNING and returns garbage.
-- Attempting to pop a larger value than the stack size is allowed
-- but triggers a TB_WARNING.
--
--
impure function uvvm_stack_pop(
buffer_index : natural;
entry_size_in_bits : natural
) return std_logic_vector;
------------------------------------------
-- uvvm_stack_flush
------------------------------------------
-- This procedure empties the stack given
-- by buffer_idx.
--
-- - Parameters:
-- - buffer_idx - The index of the stack (natural)
-- that shall be flushed.
--
procedure uvvm_stack_flush(
buffer_index : natural
);
------------------------------------------
-- uvvm_stack_peek
------------------------------------------
-- This function returns the data from the stack
-- without removing it.
--
-- - Parameters:
-- - buffer_idx - The index of the stack (natural)
-- that shall be read.
-- - entry_size_in_bits - The size of the returned slv (natural)
--
-- - Returns: Data from the stack. The size of the
-- return data is given by the entry_size_in_bits parameter.
-- Attempting to peek from an empty stack is allowed but triggers a
-- TB_WARNING and returns garbage.
-- Attempting to peek a larger value than the stack size is allowed
-- but triggers a TB_WARNING. Will wrap.
--
--
impure function uvvm_stack_peek(
buffer_index : natural;
entry_size_in_bits : natural
) return std_logic_vector;
------------------------------------------
-- uvvm_stack_get_count
------------------------------------------
-- This function returns a natural indicating the number of elements
-- currently occupying the stack given by buffer_idx.
--
-- - Parameters:
-- - buffer_idx - The index of the stack (natural)
--
-- - Returns: The number of elements occupying the stack (natural).
--
--
impure function uvvm_stack_get_count(
buffer_idx : natural
) return natural;
------------------------------------------
-- uvvm_stack_get_max_count
------------------------------------------
-- This function returns a natural indicating the maximum number
-- of elements that can occupy the stack given by buffer_idx.
--
-- - Parameters:
-- - buffer_idx - The index of the stack (natural)
--
-- - Returns: The maximum number of elements that can be placed
-- in the stack (natural).
--
--
impure function uvvm_stack_get_max_count(
buffer_index : natural
) return natural;
end package data_stack_pkg;
package body data_stack_pkg is
impure function uvvm_stack_init(
buffer_size_in_bits : natural
) return natural is
begin
return shared_data_stack.init_queue(buffer_size_in_bits, "UVVM_STACK");
end function;
procedure uvvm_stack_init(
buffer_index : natural;
buffer_size_in_bits : natural
) is
begin
shared_data_stack.init_queue(buffer_index, buffer_size_in_bits, "UVVM_STACK");
end procedure;
procedure uvvm_stack_push(
buffer_index : natural;
data : std_logic_vector
) is
begin
shared_data_stack.push_back(buffer_index,data);
end procedure;
impure function uvvm_stack_pop(
buffer_index : natural;
entry_size_in_bits : natural
) return std_logic_vector is
begin
return shared_data_stack.pop_back(buffer_index, entry_size_in_bits);
end function;
procedure uvvm_stack_flush(
buffer_index : natural
) is
begin
shared_data_stack.flush(buffer_index);
end procedure;
impure function uvvm_stack_peek(
buffer_index : natural;
entry_size_in_bits : natural
) return std_logic_vector is
begin
return shared_data_stack.peek_back(buffer_index, entry_size_in_bits);
end function;
impure function uvvm_stack_get_count(
buffer_idx : natural
) return natural is
begin
return shared_data_stack.get_count(buffer_idx);
end function;
impure function uvvm_stack_get_max_count(
buffer_index : natural
) return natural is
begin
return shared_data_stack.get_queue_count_max(buffer_index);
end function;
end package body data_stack_pkg;
|
-- -*- vhdl -*-
-------------------------------------------------------------------------------
-- Copyright (c) 2012, The CARPE Project, All rights reserved. --
-- See the AUTHORS file for individual contributors. --
-- --
-- Copyright and related rights are licensed under the Solderpad --
-- Hardware License, Version 0.51 (the "License"); you may not use this --
-- file except in compliance with the License. You may obtain a copy of --
-- the License at http://solderpad.org/licenses/SHL-0.51. --
-- --
-- Unless required by applicable law or agreed to in writing, software, --
-- hardware and materials distributed under this License is distributed --
-- on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, --
-- either express or implied. See the License for the specific language --
-- governing permissions and limitations under the License. --
-------------------------------------------------------------------------------
-- Architecture level constants
library ieee;
use ieee.std_logic_1164.all;
library isa;
use isa.or1k_pkg.all;
package cpu_arch_pkg is
constant cpu_context_bits : natural := or1k_cid_bits;
constant cpu_vaddr_bits : natural := or1k_vaddr_bits;
constant cpu_paddr_bits : natural := or1k_paddr_bits;
constant cpu_log2_word_bytes : natural := or1k_log2_word_bytes;
constant cpu_word_bytes : natural := or1k_word_bytes;
constant cpu_log2_inst_bytes : natural := or1k_log2_inst_bytes;
constant cpu_inst_bytes : natural := or1k_inst_bytes;
constant cpu_rfaddr_bits : natural := or1k_rfaddr_bits;
constant cpu_wmask_bits : natural := or1k_wmask_bits;
constant cpu_log2_data_size_bits : natural := or1k_log2_data_size_bits;
constant cpu_word_bits : natural := or1k_word_bits;
constant cpu_inst_bits : natural := or1k_inst_bits;
constant cpu_wvaddr_bits : natural := or1k_wvaddr_bits;
constant cpu_ivaddr_bits : natural := or1k_ivaddr_bits;
constant cpu_wpaddr_bits : natural := or1k_wpaddr_bits;
constant cpu_ipaddr_bits : natural := or1k_ipaddr_bits;
constant cpu_shift_bits : natural := or1k_shift_bits;
subtype cpu_vaddr_type is or1k_vaddr_type;
subtype cpu_paddr_type is or1k_paddr_type;
subtype cpu_wvaddr_type is or1k_wvaddr_type;
subtype cpu_ivaddr_type is or1k_ivaddr_type;
subtype cpu_wpaddr_type is or1k_wpaddr_type;
subtype cpu_ipaddr_type is or1k_ipaddr_type;
subtype cpu_word_bytes_type is or1k_word_bytes_type;
subtype cpu_word_type is or1k_word_type;
subtype cpu_dword_type is or1k_dword_type;
subtype cpu_inst_bytes_type is or1k_inst_bytes_type;
subtype cpu_inst_type is or1k_inst_type;
subtype cpu_rfaddr_type is or1k_rfaddr_type;
subtype cpu_shift_type is or1k_shift_type;
subtype cpu_wmask_type is or1k_wmask_type;
subtype cpu_log2_data_size_type is or1k_log2_data_size_type;
end package;
|
entity TESTCASE is
end entity TESTCASE;
architecture PROBLEM of TESTCASE is
type ENUMERATION_TYPE is (VALUE1, VALUE2);
constant SOME_VAR : integer := ENUMERATION_TYPE'length;
begin
end architecture PROBLEM;
|
entity TESTCASE is
end entity TESTCASE;
architecture PROBLEM of TESTCASE is
type ENUMERATION_TYPE is (VALUE1, VALUE2);
constant SOME_VAR : integer := ENUMERATION_TYPE'length;
begin
end architecture PROBLEM;
|
entity TESTCASE is
end entity TESTCASE;
architecture PROBLEM of TESTCASE is
type ENUMERATION_TYPE is (VALUE1, VALUE2);
constant SOME_VAR : integer := ENUMERATION_TYPE'length;
begin
end architecture PROBLEM;
|
library ieee;
use ieee.std_logic_1164.all;
entity and6 is
port (i0, i1, i2, i3, i4, i5 : std_logic;
o : out std_logic);
end and6;
architecture behav of and6 is
signal t1, t2 : std_logic;
begin
a1: entity work.and3
port map (i0, i1, i2, t1);
a2: entity work.and3
port map (i3, i4, i5, t2);
o <= t1 and t2;
end behav;
|
------------------------------------------------------------------------------
-- Copyright (C) 2007 Jonathon W. Donaldson
-- jwdonal a t opencores DOT org
--
-- This program is free software; you can redistribute it and/or modify
-- it under the terms of the GNU General Public License as published by
-- the Free Software Foundation; either version 2 of the License, or
-- (at your option) any later version.
--
-- This program is distributed in the hope that it will be useful,
-- but WITHOUT ANY WARRANTY; without even the implied warranty of
-- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-- GNU General Public License for more details.
--
-- You should have received a copy of the GNU General Public License
-- along with this program; if not, write to the Free Software
-- Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
--
------------------------------------------------------------------------------
--
-- $Id: clk_lcd_cyc_cntr.vhd,v 1.1 2008-11-07 00:48:12 jwdonal Exp $
--
-- Description:
-- Counts the number of CLK_LCD cycles that have occured after C_VSYNC_TVS
-- lines have passed. The output vector is then used by ENAB and the IMAGE
-- generator for pulse and data timing. This method allows for a single
-- common counter for both the ENAB and image controller blocks. THe less
-- efficient way would be to have two counters - one for each block.
--
-- Structure:
-- - xupv2p.ucf
-- - components.vhd
-- - lq057q3dc02_tb.vhd
-- - lq057q3dc02.vhd
-- - dcm_sys_to_lcd.xaw
-- - video_controller.vhd
-- - enab_control.vhd
-- - hsyncx_control.vhd
-- - vsyncx_control.vhd
-- - clk_lcd_cyc_cntr.vhd
-- - image_gen_bram.vhd
-- - image_gen_bram_red.xco
-- - image_gen_bram_green.xco
-- - image_gen_bram_blue.xco
--
------------------------------------------------------------------------------
--
-- Naming Conventions:
-- active low signals "*x"
-- clock signal "CLK_*"
-- reset signal "RST"
-- generic/constant "C_*"
-- user defined type "TYPE_*"
-- state machine next state "*_ns"
-- state machine current state "*_cs""
-- pipelined signals "*_d#"
-- register delay signals "*_p#"
-- signal "*_sig"
-- variable "*_var"
-- storage register "*_reg"
-- clock enable signals "*_ce"
-- internal version of output port used as connecting wire "*_wire"
-- input/output port "ALL_CAPS"
-- process "*_PROC"
--
------------------------------------------------------------------------------
--////////////////////--
-- LIBRARY INCLUSIONS --
--////////////////////--
LIBRARY IEEE;
USE IEEE.STD_LOGIC_1164.ALL;
USE IEEE.STD_LOGIC_ARITH.ALL;
USE IEEE.STD_LOGIC_UNSIGNED.ALL;
--////////////////////--
-- ENTITY DECLARATION --
--////////////////////--
ENTITY clk_lcd_cyc_cntr IS
generic (
C_VSYNC_TVS,
C_LINE_NUM_WIDTH,
C_CLK_LCD_CYC_NUM_WIDTH,
C_ENAB_TEP,
C_ENAB_THE : POSITIVE
);
port (
RSTx,
CLK_LCD,
HSYNCx,
VSYNCx : IN std_logic;
LINE_NUM : IN std_logic_vector(C_LINE_NUM_WIDTH-1 downto 0);
CLK_LCD_CYC_NUM : OUT std_logic_vector(C_CLK_LCD_CYC_NUM_WIDTH-1 downto 0)
);
END ENTITY clk_lcd_cyc_cntr;
--////////////////////////--
-- ARCHITECTURE OF ENTITY --
--////////////////////////--
ARCHITECTURE clk_lcd_cyc_cntr_arch OF clk_lcd_cyc_cntr IS
constant C_NUM_LCD_LINES : positive := 240; -- number of drawable lines in the LCD
constant C_NUM_LCD_PIXELS : positive := 320; -- number of drawable pixels per line in the LCD
--Enables/disables counter for pixel/enab counter process
signal clk_cyc_cnt_en_sig : std_logic := '0';
--Stores the number of CLK_LCD cycles that have occurred
signal clk_cyc_num_reg : std_logic_vector(C_CLK_LCD_CYC_NUM_WIDTH-1 downto 0) := (others => '0');
---------------------------------------------------------------
-- States for CLK_Cntr_cntrl_*_PROC
---------------------------------------------------------------
--INACTIVE_WAIT_1 => wait here until new screen or new line starts
--INACTIVE_WAIT_2 => wait for HSYNCx pulse to deactivate b/c THE is measured from rising edge of HSYNCx pulse
--INACTIVE_WAIT_TVS => wait for TVS timespec to pass
--INACTIVE_WAIT_THE => wait THE timespec to pass
--ACTIVE => enable clock cycle counter
type TYPE_CLK_Cntr_sts is ( INACTIVE_WAIT_1, INACTIVE_WAIT_2,
INACTIVE_WAIT_TVS, INACTIVE_WAIT_THE,
ACTIVE );
signal CLK_Cntr_cs : TYPE_CLK_Cntr_sts;
signal CLK_Cntr_ns : TYPE_CLK_Cntr_sts;
begin
--///////////////////////--
-- CONCURRENT STATEMENTS --
--///////////////////////--
CLK_LCD_CYC_NUM <= clk_cyc_num_reg;
------------------------------------------------------------------
-- Process Description:
-- This is finite state machine process 1 of 3 for counting the
-- number of CLK_LCD cycles that have passed which controls
-- the pixel and ENAB count value (clk_cyc_num_reg). This process
-- only controls the reset of the state and the "current state to
-- next state" assignment.
--
-- Inputs:
-- RSTx
-- CLK_LCD
--
-- Outputs:
-- CLK_Cntr_cs
--
-- Notes:
-- N/A
------------------------------------------------------------------
CLK_Cntr_cntrl_1_PROC : process( RSTx, CLK_LCD )
begin
if( RSTx = '0' ) then
CLK_Cntr_cs <= INACTIVE_WAIT_1;
elsif( CLK_LCD'event and CLK_LCD = '1' ) then
CLK_Cntr_cs <= CLK_Cntr_ns;
end if;
end process CLK_Cntr_cntrl_1_PROC;
------------------------------------------------------------------
-- Process Description:
-- This is finite state machine process 2 of 3 for counting the
-- number of CLK_LCD cycles that have passed which controls
-- the pixel and ENAB count value (clk_cyc_num_reg). This process
-- controls all of the state changes.
--
-- Inputs:
-- CLK_Cntr_cs
-- HSYNCx
-- VSYNCx
-- LINE_NUM
-- clk_cyc_num_reg
--
-- Outputs:
-- CLK_Cntr_ns
--
-- Notes:
-- N/A
------------------------------------------------------------------
CLK_Cntr_cntrl_2_PROC : process( CLK_Cntr_cs, HSYNCx, VSYNCx, LINE_NUM, clk_cyc_num_reg )
begin
case CLK_Cntr_cs is
when INACTIVE_WAIT_1 => -- once we are in WAIT_1 we are either going to (A) be completely finished drawing the screen or (B) go to the next line.
if( HSYNCx = '0' and VSYNCx = '0' ) then -- if new frame has begun
CLK_Cntr_ns <= INACTIVE_WAIT_TVS; -- go to next state (the reason we do not have to wait for HSYNCx to go high (i.e. go to state INACTIVE_WAIT_2) is b/c LINE_NUM will not change until HSYNCx has already gone high - therefore we do not need to enter WAIT_2 state waiting for HSYNCx to go high. We can just skip that state! :-))
elsif( HSYNCx = '0' and LINE_NUM < (C_VSYNC_TVS + 1) + (C_NUM_LCD_LINES - 1) ) then --if only a new line has begun, not a whole new frame. And only if we have not drawn all the lines already (there is a delay between the last line drawn to the screen and the next VSYNCx pulse!)
CLK_Cntr_ns <= INACTIVE_WAIT_2; -- Once HSYNCx is activated we need to wait for it to deactivate before couting 'THE' CLK_LCD cycles b/c THE timespec is measured from the rising edge of the HSYNCx pulse!!!
else
CLK_Cntr_ns <= INACTIVE_WAIT_1; -- we haven't drawn a full screen yet! Get ready to send another line of data when HSYNCx activates!
end if;
when INACTIVE_WAIT_2 => -- wait for HSYNCx pulse to be deactivated (rise)
if( HSYNCx = '1' ) then
CLK_Cntr_ns <= INACTIVE_WAIT_THE; -- Once HSYNCx is deactivated we need to wait THE CLK_LCD cycles before activating again
else
CLK_Cntr_ns <= INACTIVE_WAIT_2; -- keep waiting for HSYNCx pulse to disable
end if;
when INACTIVE_WAIT_TVS =>
if( LINE_NUM = C_VSYNC_TVS + 1 ) then -- if enough lines (HSYNCx pulses) have passed after the *falling* edge of VSYNCx pulse (timespec TVS). We need to start sending exactly on the 8th line (i.e. TVS + 1)!! If we start sending even one line before or even one line after the entire screen will not be drawn!
CLK_Cntr_ns <= INACTIVE_WAIT_THE; -- go to next state
else
CLK_Cntr_ns <= INACTIVE_WAIT_TVS; -- still inactive until _after_ 7 lines (HSYNCx pulses) have passed!
end if;
when INACTIVE_WAIT_THE =>
if( clk_cyc_num_reg = C_ENAB_THE - 1 ) then -- 0 to (THE - 1) = THE clocks!
CLK_Cntr_ns <= ACTIVE; -- go to next state (PHEW! We can finally start sending data!)
else
CLK_Cntr_ns <= INACTIVE_WAIT_THE; -- still inactive until after timespec THE has passed
end if;
when ACTIVE => -- Now that ENAB is active we want it to stay active for TEP CLK_LCD cycles
if( clk_cyc_num_reg = C_ENAB_THE + C_NUM_LCD_PIXELS - 1 ) then -- C_ENAB_THE to C_ENAB_THE + (320 - 1) = C_ENAB_TEP clocks!
CLK_Cntr_ns <= INACTIVE_WAIT_1; -- once TEP clocks have passed we disable ENAB!
else
CLK_Cntr_ns <= ACTIVE; --enable counter (whose value is used by ENAB controller and image generator)
end if;
when others => --UH OH! How did we get here???
CLK_Cntr_ns <= INACTIVE_WAIT_1;
end case;
end process CLK_Cntr_cntrl_2_PROC;
------------------------------------------------------------------
-- Process Description:
-- This is finite state machine process 3 of 3 for counting the
-- number of CLK_LCD cycles that have passed which controls
-- the pixel and ENAB count value (clk_cyc_num_reg). This process
-- only controls the change of output values based on the current
-- state.
--
-- Inputs:
-- CLK_Cntr_cs
--
-- Outputs:
-- clk_cyc_cnt_en_sig
--
-- Notes:
-- N/A
------------------------------------------------------------------
CLK_Cntr_cntrl_3_PROC : process( CLK_Cntr_cs )
begin
case CLK_Cntr_cs is
when INACTIVE_WAIT_1 => --reset counter when not sending data (will go to either TVS-wait if a new frame is starting or INACTIVE_WAIT_2 if just a new line is starting)
clk_cyc_cnt_en_sig <= '0';
when INACTIVE_WAIT_2 => --reset counter when not sending data (not a new frame, but we still need to wait for HSYNCx to go high, then go to THE)
clk_cyc_cnt_en_sig <= '0';
when INACTIVE_WAIT_TVS => --reset counter when waiting for 7 lines (TVS) to pass
clk_cyc_cnt_en_sig <= '0';
when INACTIVE_WAIT_THE => --count THE clock wait for ENAB
clk_cyc_cnt_en_sig <= '1';
when ACTIVE => --count number of pixels to send (320 pixels across)
clk_cyc_cnt_en_sig <= '1';
when others => --UH OH! How did we get here???
clk_cyc_cnt_en_sig <= '0';
end case;
end process CLK_Cntr_cntrl_3_PROC;
------------------------------------------------------------------
-- Process Description:
-- This process enables/disables the pixel/enab counter dependent
-- upon the value of clk_cyc_cnt_en_sig.
--
-- Inputs:
-- RSTx
-- CLK_LCD
--
-- Outputs:
-- clk_cyc_num_reg
--
-- Notes:
-- N/A
------------------------------------------------------------------
CLK_Cycle_Cntr_PROC : process( RSTx, CLK_LCD )
begin
if( RSTx = '0' ) then
clk_cyc_num_reg <= (others => '0');
elsif( CLK_LCD'event and CLK_LCD = '1' ) then
if( clk_cyc_cnt_en_sig = '1' ) then
clk_cyc_num_reg <= clk_cyc_num_reg + 1;
else
clk_cyc_num_reg <= (others => '0');
end if;
end if;
end process CLK_Cycle_Cntr_PROC;
END ARCHITECTURE clk_lcd_cyc_cntr_arch;
|
-------------------------------------------------------------------------------
-- Title : Input Conditioner
-- Project :
-------------------------------------------------------------------------------
-- File : input_conditioner.vhd
-- Author : Gustavo BM Bruno
-- Company :
-- Created : 2014-01-30
-- Last update: 2014-02-26
-- Platform :
-- Standard : VHDL'93/02
-------------------------------------------------------------------------------
-- Description: Define the timing for the switch at the RFFE board and apply a
-- proper window at the switch to avoid the switching noise.
-------------------------------------------------------------------------------
-- Copyright (c) 2014
-------------------------------------------------------------------------------
-- Revisions :
-- Date Version Author Description
-- 2014-01-30 1.0 aylons Created
-------------------------------------------------------------------------------
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
use ieee.math_real.all;
library UNISIM;
use UNISIM.vcomponents.all;
library work;
use work.genram_pkg.all;
entity input_conditioner is
generic (
--g_clk_freq : real := 120.0e6; -- System clock frequency
--g_sw_freq : real := 100.0e3; -- Desired switching frequency
g_sw_interval : natural := 1000;
g_input_width : natural := 16;
g_output_width : natural := 24;
g_window_width : natural := 24;
g_input_delay : natural := 2;
g_window_coef_file : string);
port (
reset_n_i : in std_logic; -- Reset data
clk_i : in std_logic; -- Main clock
adc_a_i : in std_logic_vector(g_input_width-1 downto 0);
adc_b_i : in std_logic_vector(g_input_width-1 downto 0);
adc_c_i : in std_logic_vector(g_input_width-1 downto 0);
adc_d_i : in std_logic_vector(g_input_width-1 downto 0);
switch_o : out std_logic; -- Switch position output
switch_en_i : in std_logic;
switch_delay_i : in std_logic_vector(15 downto 0);
a_o : out std_logic_vector(g_output_width-1 downto 0);
b_o : out std_logic_vector(g_output_width-1 downto 0);
c_o : out std_logic_vector(g_output_width-1 downto 0);
d_o : out std_logic_vector(g_output_width-1 downto 0);
dbg_cur_address_o : out std_logic_vector(31 downto 0));
end entity input_conditioner;
architecture structural of input_conditioner is
--constant c_mem_size : natural := natural(g_clk_freq/(g_sw_freq*2.0)) + 1;
constant c_mem_size : natural := g_sw_interval/2 + 1;
constant c_bus_size : natural := f_log2_size(c_mem_size);
signal cur_address : std_logic_vector(c_bus_size-1 downto 0) := (others => '0'); -- Current index for lookup table
signal window_factor : std_logic_vector(g_window_width-1 downto 0); -- Current value of the window
-- factor, signed int
component counter is
generic (
g_mem_size : natural;
g_bus_size : natural;
g_switch_delay : natural);
port (
clk_i : in std_logic;
index_o : out std_logic_vector(c_bus_size-1 downto 0);
ce_i : in std_logic;
switch_o : out std_logic;
switch_en_i : in std_logic;
switch_delay_i : in std_logic_vector(15 downto 0);
reset_n_i : in std_logic);
end component counter;
component generic_multiplier is
generic (
g_a_width : natural;
g_b_width : natural;
g_signed : boolean;
g_p_width : natural);
port (
a_i : in std_logic_vector(g_a_width-1 downto 0);
b_i : in std_logic_vector(g_b_width-1 downto 0);
p_o : out std_logic_vector(g_p_width-1 downto 0);
clk_i : in std_logic;
reset_n_i : in std_logic);
end component generic_multiplier;
begin
cmp_lut : generic_simple_dpram
generic map (
g_data_width => g_window_width,
g_size => c_mem_size,
g_with_byte_enable => false,
g_addr_conflict_resolution => "dont_care",
--g_init_file => "./window.nif",
g_init_file => g_window_coef_file,
g_dual_clock => false
)
port map (
rst_n_i => reset_n_i,
clka_i => clk_i,
bwea_i => (others => '0'),
wea_i => '0',
aa_i => cur_address,
da_i => (others => '0'),
clkb_i => clk_i,
ab_i => cur_address,
qb_o => window_factor
);
cmp_index : counter
generic map (
g_mem_size => c_mem_size,
g_bus_size => c_bus_size,
g_switch_delay => g_input_delay
)
port map (
clk_i => clk_i,
index_o => cur_address,
ce_i => '1',
reset_n_i => reset_n_i,
switch_delay_i => switch_delay_i,
switch_o => switch_o,
switch_en_i => switch_en_i
);
dbg_cur_address_o(dbg_cur_address_o'left downto cur_address'left+1)
<= (others =>'0');
dbg_cur_address_o(cur_address'left downto 0) <= cur_address;
cmp_multiplier_a : generic_multiplier
generic map (
g_a_width => g_input_width,
g_b_width => g_window_width,
g_signed => true,
g_p_width => g_output_width)
port map (
a_i => adc_a_i,
b_i => window_factor,
p_o => a_o,
clk_i => clk_i,
reset_n_i => reset_n_i);
cmp_multiplier_b : generic_multiplier
generic map (
g_a_width => g_input_width,
g_b_width => g_window_width,
g_signed => true,
g_p_width => g_output_width)
port map (
a_i => adc_b_i,
b_i => window_factor,
p_o => b_o,
clk_i => clk_i,
reset_n_i => reset_n_i);
cmp_multiplier_c : generic_multiplier
generic map (
g_a_width => g_input_width,
g_b_width => g_window_width,
g_signed => true,
g_p_width => g_output_width)
port map (
a_i => adc_c_i,
b_i => window_factor,
p_o => c_o,
clk_i => clk_i,
reset_n_i => reset_n_i);
cmp_multiplier_d : generic_multiplier
generic map (
g_a_width => g_input_width,
g_b_width => g_window_width,
g_signed => true,
g_p_width => g_output_width)
port map (
a_i => adc_d_i,
b_i => window_factor,
p_o => d_o,
clk_i => clk_i,
reset_n_i => reset_n_i);
end structural;
|
-- (c) Copyright 1995-2016 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
-- DO NOT MODIFY THIS FILE.
-- IP VLNV: xilinx.com:ip:floating_point:7.1
-- IP Revision: 1
LIBRARY ieee;
USE ieee.std_logic_1164.ALL;
USE ieee.numeric_std.ALL;
LIBRARY floating_point_v7_1_1;
USE floating_point_v7_1_1.floating_point_v7_1_1;
ENTITY ANN_ap_fcmp_0_no_dsp_32 IS
PORT (
s_axis_a_tvalid : IN STD_LOGIC;
s_axis_a_tdata : IN STD_LOGIC_VECTOR(31 DOWNTO 0);
s_axis_b_tvalid : IN STD_LOGIC;
s_axis_b_tdata : IN STD_LOGIC_VECTOR(31 DOWNTO 0);
s_axis_operation_tvalid : IN STD_LOGIC;
s_axis_operation_tdata : IN STD_LOGIC_VECTOR(7 DOWNTO 0);
m_axis_result_tvalid : OUT STD_LOGIC;
m_axis_result_tdata : OUT STD_LOGIC_VECTOR(7 DOWNTO 0)
);
END ANN_ap_fcmp_0_no_dsp_32;
ARCHITECTURE ANN_ap_fcmp_0_no_dsp_32_arch OF ANN_ap_fcmp_0_no_dsp_32 IS
ATTRIBUTE DowngradeIPIdentifiedWarnings : string;
ATTRIBUTE DowngradeIPIdentifiedWarnings OF ANN_ap_fcmp_0_no_dsp_32_arch: ARCHITECTURE IS "yes";
COMPONENT floating_point_v7_1_1 IS
GENERIC (
C_XDEVICEFAMILY : STRING;
C_HAS_ADD : INTEGER;
C_HAS_SUBTRACT : INTEGER;
C_HAS_MULTIPLY : INTEGER;
C_HAS_DIVIDE : INTEGER;
C_HAS_SQRT : INTEGER;
C_HAS_COMPARE : INTEGER;
C_HAS_FIX_TO_FLT : INTEGER;
C_HAS_FLT_TO_FIX : INTEGER;
C_HAS_FLT_TO_FLT : INTEGER;
C_HAS_RECIP : INTEGER;
C_HAS_RECIP_SQRT : INTEGER;
C_HAS_ABSOLUTE : INTEGER;
C_HAS_LOGARITHM : INTEGER;
C_HAS_EXPONENTIAL : INTEGER;
C_HAS_FMA : INTEGER;
C_HAS_FMS : INTEGER;
C_HAS_ACCUMULATOR_A : INTEGER;
C_HAS_ACCUMULATOR_S : INTEGER;
C_A_WIDTH : INTEGER;
C_A_FRACTION_WIDTH : INTEGER;
C_B_WIDTH : INTEGER;
C_B_FRACTION_WIDTH : INTEGER;
C_C_WIDTH : INTEGER;
C_C_FRACTION_WIDTH : INTEGER;
C_RESULT_WIDTH : INTEGER;
C_RESULT_FRACTION_WIDTH : INTEGER;
C_COMPARE_OPERATION : INTEGER;
C_LATENCY : INTEGER;
C_OPTIMIZATION : INTEGER;
C_MULT_USAGE : INTEGER;
C_BRAM_USAGE : INTEGER;
C_RATE : INTEGER;
C_ACCUM_INPUT_MSB : INTEGER;
C_ACCUM_MSB : INTEGER;
C_ACCUM_LSB : INTEGER;
C_HAS_UNDERFLOW : INTEGER;
C_HAS_OVERFLOW : INTEGER;
C_HAS_INVALID_OP : INTEGER;
C_HAS_DIVIDE_BY_ZERO : INTEGER;
C_HAS_ACCUM_OVERFLOW : INTEGER;
C_HAS_ACCUM_INPUT_OVERFLOW : INTEGER;
C_HAS_ACLKEN : INTEGER;
C_HAS_ARESETN : INTEGER;
C_THROTTLE_SCHEME : INTEGER;
C_HAS_A_TUSER : INTEGER;
C_HAS_A_TLAST : INTEGER;
C_HAS_B : INTEGER;
C_HAS_B_TUSER : INTEGER;
C_HAS_B_TLAST : INTEGER;
C_HAS_C : INTEGER;
C_HAS_C_TUSER : INTEGER;
C_HAS_C_TLAST : INTEGER;
C_HAS_OPERATION : INTEGER;
C_HAS_OPERATION_TUSER : INTEGER;
C_HAS_OPERATION_TLAST : INTEGER;
C_HAS_RESULT_TUSER : INTEGER;
C_HAS_RESULT_TLAST : INTEGER;
C_TLAST_RESOLUTION : INTEGER;
C_A_TDATA_WIDTH : INTEGER;
C_A_TUSER_WIDTH : INTEGER;
C_B_TDATA_WIDTH : INTEGER;
C_B_TUSER_WIDTH : INTEGER;
C_C_TDATA_WIDTH : INTEGER;
C_C_TUSER_WIDTH : INTEGER;
C_OPERATION_TDATA_WIDTH : INTEGER;
C_OPERATION_TUSER_WIDTH : INTEGER;
C_RESULT_TDATA_WIDTH : INTEGER;
C_RESULT_TUSER_WIDTH : INTEGER;
C_FIXED_DATA_UNSIGNED : INTEGER
);
PORT (
aclk : IN STD_LOGIC;
aclken : IN STD_LOGIC;
aresetn : IN STD_LOGIC;
s_axis_a_tvalid : IN STD_LOGIC;
s_axis_a_tready : OUT STD_LOGIC;
s_axis_a_tdata : IN STD_LOGIC_VECTOR(31 DOWNTO 0);
s_axis_a_tuser : IN STD_LOGIC_VECTOR(0 DOWNTO 0);
s_axis_a_tlast : IN STD_LOGIC;
s_axis_b_tvalid : IN STD_LOGIC;
s_axis_b_tready : OUT STD_LOGIC;
s_axis_b_tdata : IN STD_LOGIC_VECTOR(31 DOWNTO 0);
s_axis_b_tuser : IN STD_LOGIC_VECTOR(0 DOWNTO 0);
s_axis_b_tlast : IN STD_LOGIC;
s_axis_c_tvalid : IN STD_LOGIC;
s_axis_c_tready : OUT STD_LOGIC;
s_axis_c_tdata : IN STD_LOGIC_VECTOR(31 DOWNTO 0);
s_axis_c_tuser : IN STD_LOGIC_VECTOR(0 DOWNTO 0);
s_axis_c_tlast : IN STD_LOGIC;
s_axis_operation_tvalid : IN STD_LOGIC;
s_axis_operation_tready : OUT STD_LOGIC;
s_axis_operation_tdata : IN STD_LOGIC_VECTOR(7 DOWNTO 0);
s_axis_operation_tuser : IN STD_LOGIC_VECTOR(0 DOWNTO 0);
s_axis_operation_tlast : IN STD_LOGIC;
m_axis_result_tvalid : OUT STD_LOGIC;
m_axis_result_tready : IN STD_LOGIC;
m_axis_result_tdata : OUT STD_LOGIC_VECTOR(7 DOWNTO 0);
m_axis_result_tuser : OUT STD_LOGIC_VECTOR(0 DOWNTO 0);
m_axis_result_tlast : OUT STD_LOGIC
);
END COMPONENT floating_point_v7_1_1;
ATTRIBUTE X_CORE_INFO : STRING;
ATTRIBUTE X_CORE_INFO OF ANN_ap_fcmp_0_no_dsp_32_arch: ARCHITECTURE IS "floating_point_v7_1_1,Vivado 2015.4.2";
ATTRIBUTE CHECK_LICENSE_TYPE : STRING;
ATTRIBUTE CHECK_LICENSE_TYPE OF ANN_ap_fcmp_0_no_dsp_32_arch : ARCHITECTURE IS "ANN_ap_fcmp_0_no_dsp_32,floating_point_v7_1_1,{}";
ATTRIBUTE CORE_GENERATION_INFO : STRING;
ATTRIBUTE CORE_GENERATION_INFO OF ANN_ap_fcmp_0_no_dsp_32_arch: ARCHITECTURE IS "ANN_ap_fcmp_0_no_dsp_32,floating_point_v7_1_1,{x_ipProduct=Vivado 2015.4.2,x_ipVendor=xilinx.com,x_ipLibrary=ip,x_ipName=floating_point,x_ipVersion=7.1,x_ipCoreRevision=1,x_ipLanguage=VHDL,x_ipSimLanguage=MIXED,C_XDEVICEFAMILY=zynq,C_HAS_ADD=0,C_HAS_SUBTRACT=0,C_HAS_MULTIPLY=0,C_HAS_DIVIDE=0,C_HAS_SQRT=0,C_HAS_COMPARE=1,C_HAS_FIX_TO_FLT=0,C_HAS_FLT_TO_FIX=0,C_HAS_FLT_TO_FLT=0,C_HAS_RECIP=0,C_HAS_RECIP_SQRT=0,C_HAS_ABSOLUTE=0,C_HAS_LOGARITHM=0,C_HAS_EXPONENTIAL=0,C_HAS_FMA=0,C_HAS_FMS=0,C_HAS_ACCUMULATOR_A=0,C_HAS_ACCUMULATOR_S=0,C_A_WIDTH=32,C_A_FRACTION_WIDTH=24,C_B_WIDTH=32,C_B_FRACTION_WIDTH=24,C_C_WIDTH=32,C_C_FRACTION_WIDTH=24,C_RESULT_WIDTH=1,C_RESULT_FRACTION_WIDTH=0,C_COMPARE_OPERATION=8,C_LATENCY=0,C_OPTIMIZATION=1,C_MULT_USAGE=0,C_BRAM_USAGE=0,C_RATE=1,C_ACCUM_INPUT_MSB=32,C_ACCUM_MSB=32,C_ACCUM_LSB=-31,C_HAS_UNDERFLOW=0,C_HAS_OVERFLOW=0,C_HAS_INVALID_OP=0,C_HAS_DIVIDE_BY_ZERO=0,C_HAS_ACCUM_OVERFLOW=0,C_HAS_ACCUM_INPUT_OVERFLOW=0,C_HAS_ACLKEN=0,C_HAS_ARESETN=0,C_THROTTLE_SCHEME=3,C_HAS_A_TUSER=0,C_HAS_A_TLAST=0,C_HAS_B=1,C_HAS_B_TUSER=0,C_HAS_B_TLAST=0,C_HAS_C=0,C_HAS_C_TUSER=0,C_HAS_C_TLAST=0,C_HAS_OPERATION=1,C_HAS_OPERATION_TUSER=0,C_HAS_OPERATION_TLAST=0,C_HAS_RESULT_TUSER=0,C_HAS_RESULT_TLAST=0,C_TLAST_RESOLUTION=0,C_A_TDATA_WIDTH=32,C_A_TUSER_WIDTH=1,C_B_TDATA_WIDTH=32,C_B_TUSER_WIDTH=1,C_C_TDATA_WIDTH=32,C_C_TUSER_WIDTH=1,C_OPERATION_TDATA_WIDTH=8,C_OPERATION_TUSER_WIDTH=1,C_RESULT_TDATA_WIDTH=8,C_RESULT_TUSER_WIDTH=1,C_FIXED_DATA_UNSIGNED=0}";
ATTRIBUTE X_INTERFACE_INFO : STRING;
ATTRIBUTE X_INTERFACE_INFO OF s_axis_a_tvalid: SIGNAL IS "xilinx.com:interface:axis:1.0 S_AXIS_A TVALID";
ATTRIBUTE X_INTERFACE_INFO OF s_axis_a_tdata: SIGNAL IS "xilinx.com:interface:axis:1.0 S_AXIS_A TDATA";
ATTRIBUTE X_INTERFACE_INFO OF s_axis_b_tvalid: SIGNAL IS "xilinx.com:interface:axis:1.0 S_AXIS_B TVALID";
ATTRIBUTE X_INTERFACE_INFO OF s_axis_b_tdata: SIGNAL IS "xilinx.com:interface:axis:1.0 S_AXIS_B TDATA";
ATTRIBUTE X_INTERFACE_INFO OF s_axis_operation_tvalid: SIGNAL IS "xilinx.com:interface:axis:1.0 S_AXIS_OPERATION TVALID";
ATTRIBUTE X_INTERFACE_INFO OF s_axis_operation_tdata: SIGNAL IS "xilinx.com:interface:axis:1.0 S_AXIS_OPERATION TDATA";
ATTRIBUTE X_INTERFACE_INFO OF m_axis_result_tvalid: SIGNAL IS "xilinx.com:interface:axis:1.0 M_AXIS_RESULT TVALID";
ATTRIBUTE X_INTERFACE_INFO OF m_axis_result_tdata: SIGNAL IS "xilinx.com:interface:axis:1.0 M_AXIS_RESULT TDATA";
BEGIN
U0 : floating_point_v7_1_1
GENERIC MAP (
C_XDEVICEFAMILY => "zynq",
C_HAS_ADD => 0,
C_HAS_SUBTRACT => 0,
C_HAS_MULTIPLY => 0,
C_HAS_DIVIDE => 0,
C_HAS_SQRT => 0,
C_HAS_COMPARE => 1,
C_HAS_FIX_TO_FLT => 0,
C_HAS_FLT_TO_FIX => 0,
C_HAS_FLT_TO_FLT => 0,
C_HAS_RECIP => 0,
C_HAS_RECIP_SQRT => 0,
C_HAS_ABSOLUTE => 0,
C_HAS_LOGARITHM => 0,
C_HAS_EXPONENTIAL => 0,
C_HAS_FMA => 0,
C_HAS_FMS => 0,
C_HAS_ACCUMULATOR_A => 0,
C_HAS_ACCUMULATOR_S => 0,
C_A_WIDTH => 32,
C_A_FRACTION_WIDTH => 24,
C_B_WIDTH => 32,
C_B_FRACTION_WIDTH => 24,
C_C_WIDTH => 32,
C_C_FRACTION_WIDTH => 24,
C_RESULT_WIDTH => 1,
C_RESULT_FRACTION_WIDTH => 0,
C_COMPARE_OPERATION => 8,
C_LATENCY => 0,
C_OPTIMIZATION => 1,
C_MULT_USAGE => 0,
C_BRAM_USAGE => 0,
C_RATE => 1,
C_ACCUM_INPUT_MSB => 32,
C_ACCUM_MSB => 32,
C_ACCUM_LSB => -31,
C_HAS_UNDERFLOW => 0,
C_HAS_OVERFLOW => 0,
C_HAS_INVALID_OP => 0,
C_HAS_DIVIDE_BY_ZERO => 0,
C_HAS_ACCUM_OVERFLOW => 0,
C_HAS_ACCUM_INPUT_OVERFLOW => 0,
C_HAS_ACLKEN => 0,
C_HAS_ARESETN => 0,
C_THROTTLE_SCHEME => 3,
C_HAS_A_TUSER => 0,
C_HAS_A_TLAST => 0,
C_HAS_B => 1,
C_HAS_B_TUSER => 0,
C_HAS_B_TLAST => 0,
C_HAS_C => 0,
C_HAS_C_TUSER => 0,
C_HAS_C_TLAST => 0,
C_HAS_OPERATION => 1,
C_HAS_OPERATION_TUSER => 0,
C_HAS_OPERATION_TLAST => 0,
C_HAS_RESULT_TUSER => 0,
C_HAS_RESULT_TLAST => 0,
C_TLAST_RESOLUTION => 0,
C_A_TDATA_WIDTH => 32,
C_A_TUSER_WIDTH => 1,
C_B_TDATA_WIDTH => 32,
C_B_TUSER_WIDTH => 1,
C_C_TDATA_WIDTH => 32,
C_C_TUSER_WIDTH => 1,
C_OPERATION_TDATA_WIDTH => 8,
C_OPERATION_TUSER_WIDTH => 1,
C_RESULT_TDATA_WIDTH => 8,
C_RESULT_TUSER_WIDTH => 1,
C_FIXED_DATA_UNSIGNED => 0
)
PORT MAP (
aclk => '0',
aclken => '1',
aresetn => '1',
s_axis_a_tvalid => s_axis_a_tvalid,
s_axis_a_tdata => s_axis_a_tdata,
s_axis_a_tuser => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)),
s_axis_a_tlast => '0',
s_axis_b_tvalid => s_axis_b_tvalid,
s_axis_b_tdata => s_axis_b_tdata,
s_axis_b_tuser => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)),
s_axis_b_tlast => '0',
s_axis_c_tvalid => '0',
s_axis_c_tdata => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 32)),
s_axis_c_tuser => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)),
s_axis_c_tlast => '0',
s_axis_operation_tvalid => s_axis_operation_tvalid,
s_axis_operation_tdata => s_axis_operation_tdata,
s_axis_operation_tuser => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)),
s_axis_operation_tlast => '0',
m_axis_result_tvalid => m_axis_result_tvalid,
m_axis_result_tready => '0',
m_axis_result_tdata => m_axis_result_tdata
);
END ANN_ap_fcmp_0_no_dsp_32_arch;
|
-- -------------------------------------------------------------
--
-- File Name: hdlsrc/fft_16_bit/TWDLROM_3_3.vhd
-- Created: 2017-03-27 23:13:58
--
-- Generated by MATLAB 9.1 and HDL Coder 3.9
--
-- -------------------------------------------------------------
-- -------------------------------------------------------------
--
-- Module: TWDLROM_3_3
-- Source Path: fft_16_bit/FFT HDL Optimized/TWDLROM_3_3
-- Hierarchy Level: 2
--
-- -------------------------------------------------------------
LIBRARY IEEE;
USE IEEE.std_logic_1164.ALL;
USE IEEE.numeric_std.ALL;
USE work.fft_16_bit_pkg.ALL;
ENTITY TWDLROM_3_3 IS
PORT( clk : IN std_logic;
reset : IN std_logic;
enb : IN std_logic;
dout_2_vld : IN std_logic;
softReset : IN std_logic;
twdl_3_3_re : OUT std_logic_vector(16 DOWNTO 0); -- sfix17_En15
twdl_3_3_im : OUT std_logic_vector(16 DOWNTO 0); -- sfix17_En15
twdl_3_3_vld : OUT std_logic
);
END TWDLROM_3_3;
ARCHITECTURE rtl OF TWDLROM_3_3 IS
-- Constants
CONSTANT Twiddle_re_table_data : vector_of_signed17(0 TO 1) :=
(to_signed(16#08000#, 17), to_signed(16#07642#, 17)); -- sfix17 [2]
CONSTANT Twiddle_im_table_data : vector_of_signed17(0 TO 1) :=
(to_signed(16#00000#, 17), to_signed(-16#030FC#, 17)); -- sfix17 [2]
-- Signals
SIGNAL Radix22TwdlMapping_cnt : unsigned(1 DOWNTO 0); -- ufix2
SIGNAL Radix22TwdlMapping_phase : unsigned(1 DOWNTO 0); -- ufix2
SIGNAL Radix22TwdlMapping_octantReg1 : unsigned(2 DOWNTO 0); -- ufix3
SIGNAL Radix22TwdlMapping_twdlAddr_raw : unsigned(3 DOWNTO 0); -- ufix4
SIGNAL Radix22TwdlMapping_twdlAddrMap : std_logic; -- ufix1
SIGNAL Radix22TwdlMapping_twdl45Reg : std_logic;
SIGNAL Radix22TwdlMapping_dvldReg1 : std_logic;
SIGNAL Radix22TwdlMapping_dvldReg2 : std_logic;
SIGNAL Radix22TwdlMapping_cnt_next : unsigned(1 DOWNTO 0); -- ufix2
SIGNAL Radix22TwdlMapping_phase_next : unsigned(1 DOWNTO 0); -- ufix2
SIGNAL Radix22TwdlMapping_octantReg1_next : unsigned(2 DOWNTO 0); -- ufix3
SIGNAL Radix22TwdlMapping_twdlAddr_raw_next : unsigned(3 DOWNTO 0); -- ufix4
SIGNAL Radix22TwdlMapping_twdlAddrMap_next : std_logic; -- ufix1
SIGNAL Radix22TwdlMapping_twdl45Reg_next : std_logic;
SIGNAL Radix22TwdlMapping_dvldReg1_next : std_logic;
SIGNAL Radix22TwdlMapping_dvldReg2_next : std_logic;
SIGNAL twdlAddr : std_logic; -- ufix1
SIGNAL twdlAddrVld : std_logic;
SIGNAL twdlOctant : unsigned(2 DOWNTO 0); -- ufix3
SIGNAL twdl45 : std_logic;
SIGNAL Twiddle_re_cast : signed(31 DOWNTO 0); -- int32
SIGNAL twiddleS_re : signed(16 DOWNTO 0); -- sfix17_En15
SIGNAL twiddleReg_re : signed(16 DOWNTO 0); -- sfix17_En15
SIGNAL Twiddle_im_cast : signed(31 DOWNTO 0); -- int32
SIGNAL twiddleS_im : signed(16 DOWNTO 0); -- sfix17_En15
SIGNAL twiddleReg_im : signed(16 DOWNTO 0); -- sfix17_En15
SIGNAL twdlOctantReg : unsigned(2 DOWNTO 0); -- ufix3
SIGNAL twdl45Reg : std_logic;
SIGNAL twdl_3_3_re_tmp : signed(16 DOWNTO 0); -- sfix17_En15
SIGNAL twdl_3_3_im_tmp : signed(16 DOWNTO 0); -- sfix17_En15
BEGIN
-- Radix22TwdlMapping
Radix22TwdlMapping_process : PROCESS (clk, reset)
BEGIN
IF reset = '1' THEN
Radix22TwdlMapping_octantReg1 <= to_unsigned(16#0#, 3);
Radix22TwdlMapping_twdlAddr_raw <= to_unsigned(16#0#, 4);
Radix22TwdlMapping_twdlAddrMap <= '0';
Radix22TwdlMapping_twdl45Reg <= '0';
Radix22TwdlMapping_dvldReg1 <= '0';
Radix22TwdlMapping_dvldReg2 <= '0';
Radix22TwdlMapping_cnt <= to_unsigned(16#2#, 2);
Radix22TwdlMapping_phase <= to_unsigned(16#0#, 2);
ELSIF clk'EVENT AND clk = '1' THEN
IF enb = '1' THEN
Radix22TwdlMapping_cnt <= Radix22TwdlMapping_cnt_next;
Radix22TwdlMapping_phase <= Radix22TwdlMapping_phase_next;
Radix22TwdlMapping_octantReg1 <= Radix22TwdlMapping_octantReg1_next;
Radix22TwdlMapping_twdlAddr_raw <= Radix22TwdlMapping_twdlAddr_raw_next;
Radix22TwdlMapping_twdlAddrMap <= Radix22TwdlMapping_twdlAddrMap_next;
Radix22TwdlMapping_twdl45Reg <= Radix22TwdlMapping_twdl45Reg_next;
Radix22TwdlMapping_dvldReg1 <= Radix22TwdlMapping_dvldReg1_next;
Radix22TwdlMapping_dvldReg2 <= Radix22TwdlMapping_dvldReg2_next;
END IF;
END IF;
END PROCESS Radix22TwdlMapping_process;
Radix22TwdlMapping_output : PROCESS (Radix22TwdlMapping_cnt, Radix22TwdlMapping_phase,
Radix22TwdlMapping_octantReg1, Radix22TwdlMapping_twdlAddr_raw,
Radix22TwdlMapping_twdlAddrMap, Radix22TwdlMapping_twdl45Reg,
Radix22TwdlMapping_dvldReg1, Radix22TwdlMapping_dvldReg2, dout_2_vld)
VARIABLE octant : unsigned(2 DOWNTO 0);
VARIABLE cnt_cast : unsigned(3 DOWNTO 0);
VARIABLE sub_cast : signed(9 DOWNTO 0);
VARIABLE sub_temp : signed(9 DOWNTO 0);
VARIABLE sub_cast_0 : signed(5 DOWNTO 0);
VARIABLE sub_temp_0 : signed(5 DOWNTO 0);
VARIABLE sub_cast_1 : signed(5 DOWNTO 0);
VARIABLE sub_temp_1 : signed(5 DOWNTO 0);
VARIABLE sub_cast_2 : signed(9 DOWNTO 0);
VARIABLE sub_temp_2 : signed(9 DOWNTO 0);
VARIABLE sub_cast_3 : signed(9 DOWNTO 0);
VARIABLE sub_temp_3 : signed(9 DOWNTO 0);
BEGIN
Radix22TwdlMapping_twdlAddr_raw_next <= Radix22TwdlMapping_twdlAddr_raw;
Radix22TwdlMapping_twdlAddrMap_next <= Radix22TwdlMapping_twdlAddrMap;
Radix22TwdlMapping_twdl45Reg_next <= Radix22TwdlMapping_twdl45Reg;
Radix22TwdlMapping_dvldReg2_next <= Radix22TwdlMapping_dvldReg1;
Radix22TwdlMapping_dvldReg1_next <= dout_2_vld;
CASE Radix22TwdlMapping_twdlAddr_raw IS
WHEN "0010" =>
octant := to_unsigned(16#0#, 3);
Radix22TwdlMapping_twdl45Reg_next <= '1';
WHEN "0100" =>
octant := to_unsigned(16#1#, 3);
Radix22TwdlMapping_twdl45Reg_next <= '0';
WHEN "0110" =>
octant := to_unsigned(16#2#, 3);
Radix22TwdlMapping_twdl45Reg_next <= '1';
WHEN "1000" =>
octant := to_unsigned(16#3#, 3);
Radix22TwdlMapping_twdl45Reg_next <= '0';
WHEN "1010" =>
octant := to_unsigned(16#4#, 3);
Radix22TwdlMapping_twdl45Reg_next <= '1';
WHEN OTHERS =>
octant := Radix22TwdlMapping_twdlAddr_raw(3 DOWNTO 1);
Radix22TwdlMapping_twdl45Reg_next <= '0';
END CASE;
Radix22TwdlMapping_octantReg1_next <= octant;
CASE octant IS
WHEN "000" =>
Radix22TwdlMapping_twdlAddrMap_next <= Radix22TwdlMapping_twdlAddr_raw(0);
WHEN "001" =>
sub_cast_0 := signed(resize(Radix22TwdlMapping_twdlAddr_raw, 6));
sub_temp_0 := to_signed(16#04#, 6) - sub_cast_0;
Radix22TwdlMapping_twdlAddrMap_next <= sub_temp_0(0);
WHEN "010" =>
sub_cast_1 := signed(resize(Radix22TwdlMapping_twdlAddr_raw, 6));
sub_temp_1 := sub_cast_1 - to_signed(16#04#, 6);
Radix22TwdlMapping_twdlAddrMap_next <= sub_temp_1(0);
WHEN "011" =>
sub_cast_2 := signed(resize(Radix22TwdlMapping_twdlAddr_raw & '0', 10));
sub_temp_2 := to_signed(16#010#, 10) - sub_cast_2;
Radix22TwdlMapping_twdlAddrMap_next <= sub_temp_2(1);
WHEN "100" =>
sub_cast_3 := signed(resize(Radix22TwdlMapping_twdlAddr_raw & '0', 10));
sub_temp_3 := sub_cast_3 - to_signed(16#010#, 10);
Radix22TwdlMapping_twdlAddrMap_next <= sub_temp_3(1);
WHEN OTHERS =>
sub_cast := signed(resize(Radix22TwdlMapping_twdlAddr_raw & '0', 10));
sub_temp := to_signed(16#018#, 10) - sub_cast;
Radix22TwdlMapping_twdlAddrMap_next <= sub_temp(1);
END CASE;
IF Radix22TwdlMapping_phase = to_unsigned(16#0#, 2) THEN
Radix22TwdlMapping_twdlAddr_raw_next <= to_unsigned(16#0#, 4);
ELSIF Radix22TwdlMapping_phase = to_unsigned(16#1#, 2) THEN
Radix22TwdlMapping_twdlAddr_raw_next <= resize(Radix22TwdlMapping_cnt, 4) sll 1;
ELSIF Radix22TwdlMapping_phase = to_unsigned(16#2#, 2) THEN
Radix22TwdlMapping_twdlAddr_raw_next <= resize(Radix22TwdlMapping_cnt, 4);
ELSE
cnt_cast := resize(Radix22TwdlMapping_cnt, 4);
Radix22TwdlMapping_twdlAddr_raw_next <= (cnt_cast sll 1) + cnt_cast;
END IF;
Radix22TwdlMapping_phase_next <= to_unsigned(16#0#, 2);
Radix22TwdlMapping_cnt_next <= Radix22TwdlMapping_cnt + to_unsigned(16#000000010#, 2);
twdlAddr <= Radix22TwdlMapping_twdlAddrMap;
twdlAddrVld <= Radix22TwdlMapping_dvldReg2;
twdlOctant <= Radix22TwdlMapping_octantReg1;
twdl45 <= Radix22TwdlMapping_twdl45Reg;
END PROCESS Radix22TwdlMapping_output;
-- Twiddle ROM1
Twiddle_re_cast <= '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & twdlAddr;
twiddleS_re <= Twiddle_re_table_data(to_integer(Twiddle_re_cast));
TWIDDLEROM_RE_process : PROCESS (clk, reset)
BEGIN
IF reset = '1' THEN
twiddleReg_re <= to_signed(16#00000#, 17);
ELSIF clk'EVENT AND clk = '1' THEN
IF enb = '1' THEN
twiddleReg_re <= twiddleS_re;
END IF;
END IF;
END PROCESS TWIDDLEROM_RE_process;
-- Twiddle ROM2
Twiddle_im_cast <= '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & '0' & twdlAddr;
twiddleS_im <= Twiddle_im_table_data(to_integer(Twiddle_im_cast));
TWIDDLEROM_IM_process : PROCESS (clk, reset)
BEGIN
IF reset = '1' THEN
twiddleReg_im <= to_signed(16#00000#, 17);
ELSIF clk'EVENT AND clk = '1' THEN
IF enb = '1' THEN
twiddleReg_im <= twiddleS_im;
END IF;
END IF;
END PROCESS TWIDDLEROM_IM_process;
intdelay_process : PROCESS (clk, reset)
BEGIN
IF reset = '1' THEN
twdlOctantReg <= to_unsigned(16#0#, 3);
ELSIF clk'EVENT AND clk = '1' THEN
IF enb = '1' THEN
twdlOctantReg <= twdlOctant;
END IF;
END IF;
END PROCESS intdelay_process;
intdelay_1_process : PROCESS (clk, reset)
BEGIN
IF reset = '1' THEN
twdl45Reg <= '0';
ELSIF clk'EVENT AND clk = '1' THEN
IF enb = '1' THEN
twdl45Reg <= twdl45;
END IF;
END IF;
END PROCESS intdelay_1_process;
-- Radix22TwdlOctCorr
Radix22TwdlOctCorr_output : PROCESS (twiddleReg_re, twiddleReg_im, twdlOctantReg, twdl45Reg)
VARIABLE twdlIn_re : signed(16 DOWNTO 0);
VARIABLE twdlIn_im : signed(16 DOWNTO 0);
VARIABLE cast : signed(17 DOWNTO 0);
VARIABLE cast_0 : signed(17 DOWNTO 0);
VARIABLE cast_1 : signed(17 DOWNTO 0);
VARIABLE cast_2 : signed(17 DOWNTO 0);
VARIABLE cast_3 : signed(17 DOWNTO 0);
VARIABLE cast_4 : signed(17 DOWNTO 0);
VARIABLE cast_5 : signed(17 DOWNTO 0);
VARIABLE cast_6 : signed(17 DOWNTO 0);
VARIABLE cast_7 : signed(17 DOWNTO 0);
VARIABLE cast_8 : signed(17 DOWNTO 0);
VARIABLE cast_9 : signed(17 DOWNTO 0);
VARIABLE cast_10 : signed(17 DOWNTO 0);
BEGIN
twdlIn_re := twiddleReg_re;
twdlIn_im := twiddleReg_im;
IF twdl45Reg = '1' THEN
CASE twdlOctantReg IS
WHEN "000" =>
twdlIn_re := to_signed(16#05A82#, 17);
twdlIn_im := to_signed(-16#05A82#, 17);
WHEN "010" =>
twdlIn_re := to_signed(-16#05A82#, 17);
twdlIn_im := to_signed(-16#05A82#, 17);
WHEN "100" =>
twdlIn_re := to_signed(-16#05A82#, 17);
twdlIn_im := to_signed(16#05A82#, 17);
WHEN OTHERS =>
twdlIn_re := to_signed(16#05A82#, 17);
twdlIn_im := to_signed(-16#05A82#, 17);
END CASE;
ELSE
CASE twdlOctantReg IS
WHEN "000" =>
NULL;
WHEN "001" =>
cast := resize(twiddleReg_im, 18);
cast_0 := - (cast);
twdlIn_re := cast_0(16 DOWNTO 0);
cast_5 := resize(twiddleReg_re, 18);
cast_6 := - (cast_5);
twdlIn_im := cast_6(16 DOWNTO 0);
WHEN "010" =>
twdlIn_re := twiddleReg_im;
cast_7 := resize(twiddleReg_re, 18);
cast_8 := - (cast_7);
twdlIn_im := cast_8(16 DOWNTO 0);
WHEN "011" =>
cast_1 := resize(twiddleReg_re, 18);
cast_2 := - (cast_1);
twdlIn_re := cast_2(16 DOWNTO 0);
twdlIn_im := twiddleReg_im;
WHEN "100" =>
cast_3 := resize(twiddleReg_re, 18);
cast_4 := - (cast_3);
twdlIn_re := cast_4(16 DOWNTO 0);
cast_9 := resize(twiddleReg_im, 18);
cast_10 := - (cast_9);
twdlIn_im := cast_10(16 DOWNTO 0);
WHEN OTHERS =>
twdlIn_re := twiddleReg_im;
twdlIn_im := twiddleReg_re;
END CASE;
END IF;
twdl_3_3_re_tmp <= twdlIn_re;
twdl_3_3_im_tmp <= twdlIn_im;
END PROCESS Radix22TwdlOctCorr_output;
twdl_3_3_re <= std_logic_vector(twdl_3_3_re_tmp);
twdl_3_3_im <= std_logic_vector(twdl_3_3_im_tmp);
intdelay_2_process : PROCESS (clk, reset)
BEGIN
IF reset = '1' THEN
twdl_3_3_vld <= '0';
ELSIF clk'EVENT AND clk = '1' THEN
IF enb = '1' THEN
twdl_3_3_vld <= twdlAddrVld;
END IF;
END IF;
END PROCESS intdelay_2_process;
END rtl;
|
-- (c) Copyright 1995-2016 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
-- DO NOT MODIFY THIS FILE.
-- IP VLNV: xilinx.com:ip:blk_mem_gen:8.3
-- IP Revision: 1
LIBRARY ieee;
USE ieee.std_logic_1164.ALL;
USE ieee.numeric_std.ALL;
LIBRARY blk_mem_gen_v8_3_1;
USE blk_mem_gen_v8_3_1.blk_mem_gen_v8_3_1;
ENTITY v_ram IS
PORT (
clka : IN STD_LOGIC;
wea : IN STD_LOGIC_VECTOR(0 DOWNTO 0);
addra : IN STD_LOGIC_VECTOR(16 DOWNTO 0);
dina : IN STD_LOGIC_VECTOR(11 DOWNTO 0);
clkb : IN STD_LOGIC;
addrb : IN STD_LOGIC_VECTOR(16 DOWNTO 0);
doutb : OUT STD_LOGIC_VECTOR(11 DOWNTO 0)
);
END v_ram;
ARCHITECTURE v_ram_arch OF v_ram IS
ATTRIBUTE DowngradeIPIdentifiedWarnings : string;
ATTRIBUTE DowngradeIPIdentifiedWarnings OF v_ram_arch: ARCHITECTURE IS "yes";
COMPONENT blk_mem_gen_v8_3_1 IS
GENERIC (
C_FAMILY : STRING;
C_XDEVICEFAMILY : STRING;
C_ELABORATION_DIR : STRING;
C_INTERFACE_TYPE : INTEGER;
C_AXI_TYPE : INTEGER;
C_AXI_SLAVE_TYPE : INTEGER;
C_USE_BRAM_BLOCK : INTEGER;
C_ENABLE_32BIT_ADDRESS : INTEGER;
C_CTRL_ECC_ALGO : STRING;
C_HAS_AXI_ID : INTEGER;
C_AXI_ID_WIDTH : INTEGER;
C_MEM_TYPE : INTEGER;
C_BYTE_SIZE : INTEGER;
C_ALGORITHM : INTEGER;
C_PRIM_TYPE : INTEGER;
C_LOAD_INIT_FILE : INTEGER;
C_INIT_FILE_NAME : STRING;
C_INIT_FILE : STRING;
C_USE_DEFAULT_DATA : INTEGER;
C_DEFAULT_DATA : STRING;
C_HAS_RSTA : INTEGER;
C_RST_PRIORITY_A : STRING;
C_RSTRAM_A : INTEGER;
C_INITA_VAL : STRING;
C_HAS_ENA : INTEGER;
C_HAS_REGCEA : INTEGER;
C_USE_BYTE_WEA : INTEGER;
C_WEA_WIDTH : INTEGER;
C_WRITE_MODE_A : STRING;
C_WRITE_WIDTH_A : INTEGER;
C_READ_WIDTH_A : INTEGER;
C_WRITE_DEPTH_A : INTEGER;
C_READ_DEPTH_A : INTEGER;
C_ADDRA_WIDTH : INTEGER;
C_HAS_RSTB : INTEGER;
C_RST_PRIORITY_B : STRING;
C_RSTRAM_B : INTEGER;
C_INITB_VAL : STRING;
C_HAS_ENB : INTEGER;
C_HAS_REGCEB : INTEGER;
C_USE_BYTE_WEB : INTEGER;
C_WEB_WIDTH : INTEGER;
C_WRITE_MODE_B : STRING;
C_WRITE_WIDTH_B : INTEGER;
C_READ_WIDTH_B : INTEGER;
C_WRITE_DEPTH_B : INTEGER;
C_READ_DEPTH_B : INTEGER;
C_ADDRB_WIDTH : INTEGER;
C_HAS_MEM_OUTPUT_REGS_A : INTEGER;
C_HAS_MEM_OUTPUT_REGS_B : INTEGER;
C_HAS_MUX_OUTPUT_REGS_A : INTEGER;
C_HAS_MUX_OUTPUT_REGS_B : INTEGER;
C_MUX_PIPELINE_STAGES : INTEGER;
C_HAS_SOFTECC_INPUT_REGS_A : INTEGER;
C_HAS_SOFTECC_OUTPUT_REGS_B : INTEGER;
C_USE_SOFTECC : INTEGER;
C_USE_ECC : INTEGER;
C_EN_ECC_PIPE : INTEGER;
C_HAS_INJECTERR : INTEGER;
C_SIM_COLLISION_CHECK : STRING;
C_COMMON_CLK : INTEGER;
C_DISABLE_WARN_BHV_COLL : INTEGER;
C_EN_SLEEP_PIN : INTEGER;
C_USE_URAM : INTEGER;
C_EN_RDADDRA_CHG : INTEGER;
C_EN_RDADDRB_CHG : INTEGER;
C_EN_DEEPSLEEP_PIN : INTEGER;
C_EN_SHUTDOWN_PIN : INTEGER;
C_EN_SAFETY_CKT : INTEGER;
C_DISABLE_WARN_BHV_RANGE : INTEGER;
C_COUNT_36K_BRAM : STRING;
C_COUNT_18K_BRAM : STRING;
C_EST_POWER_SUMMARY : STRING
);
PORT (
clka : IN STD_LOGIC;
rsta : IN STD_LOGIC;
ena : IN STD_LOGIC;
regcea : IN STD_LOGIC;
wea : IN STD_LOGIC_VECTOR(0 DOWNTO 0);
addra : IN STD_LOGIC_VECTOR(16 DOWNTO 0);
dina : IN STD_LOGIC_VECTOR(11 DOWNTO 0);
douta : OUT STD_LOGIC_VECTOR(11 DOWNTO 0);
clkb : IN STD_LOGIC;
rstb : IN STD_LOGIC;
enb : IN STD_LOGIC;
regceb : IN STD_LOGIC;
web : IN STD_LOGIC_VECTOR(0 DOWNTO 0);
addrb : IN STD_LOGIC_VECTOR(16 DOWNTO 0);
dinb : IN STD_LOGIC_VECTOR(11 DOWNTO 0);
doutb : OUT STD_LOGIC_VECTOR(11 DOWNTO 0);
injectsbiterr : IN STD_LOGIC;
injectdbiterr : IN STD_LOGIC;
eccpipece : IN STD_LOGIC;
sbiterr : OUT STD_LOGIC;
dbiterr : OUT STD_LOGIC;
rdaddrecc : OUT STD_LOGIC_VECTOR(16 DOWNTO 0);
sleep : IN STD_LOGIC;
deepsleep : IN STD_LOGIC;
shutdown : IN STD_LOGIC;
rsta_busy : OUT STD_LOGIC;
rstb_busy : OUT STD_LOGIC;
s_aclk : IN STD_LOGIC;
s_aresetn : IN STD_LOGIC;
s_axi_awid : IN STD_LOGIC_VECTOR(3 DOWNTO 0);
s_axi_awaddr : IN STD_LOGIC_VECTOR(31 DOWNTO 0);
s_axi_awlen : IN STD_LOGIC_VECTOR(7 DOWNTO 0);
s_axi_awsize : IN STD_LOGIC_VECTOR(2 DOWNTO 0);
s_axi_awburst : IN STD_LOGIC_VECTOR(1 DOWNTO 0);
s_axi_awvalid : IN STD_LOGIC;
s_axi_awready : OUT STD_LOGIC;
s_axi_wdata : IN STD_LOGIC_VECTOR(11 DOWNTO 0);
s_axi_wstrb : IN STD_LOGIC_VECTOR(0 DOWNTO 0);
s_axi_wlast : IN STD_LOGIC;
s_axi_wvalid : IN STD_LOGIC;
s_axi_wready : OUT STD_LOGIC;
s_axi_bid : OUT STD_LOGIC_VECTOR(3 DOWNTO 0);
s_axi_bresp : OUT STD_LOGIC_VECTOR(1 DOWNTO 0);
s_axi_bvalid : OUT STD_LOGIC;
s_axi_bready : IN STD_LOGIC;
s_axi_arid : IN STD_LOGIC_VECTOR(3 DOWNTO 0);
s_axi_araddr : IN STD_LOGIC_VECTOR(31 DOWNTO 0);
s_axi_arlen : IN STD_LOGIC_VECTOR(7 DOWNTO 0);
s_axi_arsize : IN STD_LOGIC_VECTOR(2 DOWNTO 0);
s_axi_arburst : IN STD_LOGIC_VECTOR(1 DOWNTO 0);
s_axi_arvalid : IN STD_LOGIC;
s_axi_arready : OUT STD_LOGIC;
s_axi_rid : OUT STD_LOGIC_VECTOR(3 DOWNTO 0);
s_axi_rdata : OUT STD_LOGIC_VECTOR(11 DOWNTO 0);
s_axi_rresp : OUT STD_LOGIC_VECTOR(1 DOWNTO 0);
s_axi_rlast : OUT STD_LOGIC;
s_axi_rvalid : OUT STD_LOGIC;
s_axi_rready : IN STD_LOGIC;
s_axi_injectsbiterr : IN STD_LOGIC;
s_axi_injectdbiterr : IN STD_LOGIC;
s_axi_sbiterr : OUT STD_LOGIC;
s_axi_dbiterr : OUT STD_LOGIC;
s_axi_rdaddrecc : OUT STD_LOGIC_VECTOR(16 DOWNTO 0)
);
END COMPONENT blk_mem_gen_v8_3_1;
ATTRIBUTE X_INTERFACE_INFO : STRING;
ATTRIBUTE X_INTERFACE_INFO OF clka: SIGNAL IS "xilinx.com:interface:bram:1.0 BRAM_PORTA CLK";
ATTRIBUTE X_INTERFACE_INFO OF wea: SIGNAL IS "xilinx.com:interface:bram:1.0 BRAM_PORTA WE";
ATTRIBUTE X_INTERFACE_INFO OF addra: SIGNAL IS "xilinx.com:interface:bram:1.0 BRAM_PORTA ADDR";
ATTRIBUTE X_INTERFACE_INFO OF dina: SIGNAL IS "xilinx.com:interface:bram:1.0 BRAM_PORTA DIN";
ATTRIBUTE X_INTERFACE_INFO OF clkb: SIGNAL IS "xilinx.com:interface:bram:1.0 BRAM_PORTB CLK";
ATTRIBUTE X_INTERFACE_INFO OF addrb: SIGNAL IS "xilinx.com:interface:bram:1.0 BRAM_PORTB ADDR";
ATTRIBUTE X_INTERFACE_INFO OF doutb: SIGNAL IS "xilinx.com:interface:bram:1.0 BRAM_PORTB DOUT";
BEGIN
U0 : blk_mem_gen_v8_3_1
GENERIC MAP (
C_FAMILY => "artix7",
C_XDEVICEFAMILY => "artix7",
C_ELABORATION_DIR => "./",
C_INTERFACE_TYPE => 0,
C_AXI_TYPE => 1,
C_AXI_SLAVE_TYPE => 0,
C_USE_BRAM_BLOCK => 0,
C_ENABLE_32BIT_ADDRESS => 0,
C_CTRL_ECC_ALGO => "NONE",
C_HAS_AXI_ID => 0,
C_AXI_ID_WIDTH => 4,
C_MEM_TYPE => 1,
C_BYTE_SIZE => 9,
C_ALGORITHM => 1,
C_PRIM_TYPE => 1,
C_LOAD_INIT_FILE => 0,
C_INIT_FILE_NAME => "no_coe_file_loaded",
C_INIT_FILE => "v_ram.mem",
C_USE_DEFAULT_DATA => 1,
C_DEFAULT_DATA => "0",
C_HAS_RSTA => 0,
C_RST_PRIORITY_A => "CE",
C_RSTRAM_A => 0,
C_INITA_VAL => "0",
C_HAS_ENA => 0,
C_HAS_REGCEA => 0,
C_USE_BYTE_WEA => 0,
C_WEA_WIDTH => 1,
C_WRITE_MODE_A => "NO_CHANGE",
C_WRITE_WIDTH_A => 12,
C_READ_WIDTH_A => 12,
C_WRITE_DEPTH_A => 76800,
C_READ_DEPTH_A => 76800,
C_ADDRA_WIDTH => 17,
C_HAS_RSTB => 0,
C_RST_PRIORITY_B => "CE",
C_RSTRAM_B => 0,
C_INITB_VAL => "0",
C_HAS_ENB => 0,
C_HAS_REGCEB => 0,
C_USE_BYTE_WEB => 0,
C_WEB_WIDTH => 1,
C_WRITE_MODE_B => "WRITE_FIRST",
C_WRITE_WIDTH_B => 12,
C_READ_WIDTH_B => 12,
C_WRITE_DEPTH_B => 76800,
C_READ_DEPTH_B => 76800,
C_ADDRB_WIDTH => 17,
C_HAS_MEM_OUTPUT_REGS_A => 0,
C_HAS_MEM_OUTPUT_REGS_B => 1,
C_HAS_MUX_OUTPUT_REGS_A => 0,
C_HAS_MUX_OUTPUT_REGS_B => 0,
C_MUX_PIPELINE_STAGES => 0,
C_HAS_SOFTECC_INPUT_REGS_A => 0,
C_HAS_SOFTECC_OUTPUT_REGS_B => 0,
C_USE_SOFTECC => 0,
C_USE_ECC => 0,
C_EN_ECC_PIPE => 0,
C_HAS_INJECTERR => 0,
C_SIM_COLLISION_CHECK => "ALL",
C_COMMON_CLK => 0,
C_DISABLE_WARN_BHV_COLL => 0,
C_EN_SLEEP_PIN => 0,
C_USE_URAM => 0,
C_EN_RDADDRA_CHG => 0,
C_EN_RDADDRB_CHG => 0,
C_EN_DEEPSLEEP_PIN => 0,
C_EN_SHUTDOWN_PIN => 0,
C_EN_SAFETY_CKT => 0,
C_DISABLE_WARN_BHV_RANGE => 0,
C_COUNT_36K_BRAM => "26",
C_COUNT_18K_BRAM => "1",
C_EST_POWER_SUMMARY => "Estimated Power for IP : 16.2184 mW"
)
PORT MAP (
clka => clka,
rsta => '0',
ena => '0',
regcea => '0',
wea => wea,
addra => addra,
dina => dina,
clkb => clkb,
rstb => '0',
enb => '0',
regceb => '0',
web => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)),
addrb => addrb,
dinb => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 12)),
doutb => doutb,
injectsbiterr => '0',
injectdbiterr => '0',
eccpipece => '0',
sleep => '0',
deepsleep => '0',
shutdown => '0',
s_aclk => '0',
s_aresetn => '0',
s_axi_awid => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 4)),
s_axi_awaddr => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 32)),
s_axi_awlen => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 8)),
s_axi_awsize => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 3)),
s_axi_awburst => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 2)),
s_axi_awvalid => '0',
s_axi_wdata => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 12)),
s_axi_wstrb => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)),
s_axi_wlast => '0',
s_axi_wvalid => '0',
s_axi_bready => '0',
s_axi_arid => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 4)),
s_axi_araddr => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 32)),
s_axi_arlen => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 8)),
s_axi_arsize => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 3)),
s_axi_arburst => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 2)),
s_axi_arvalid => '0',
s_axi_rready => '0',
s_axi_injectsbiterr => '0',
s_axi_injectdbiterr => '0'
);
END v_ram_arch;
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2013"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
Mz3MtVG6e1Ln9I8qtiw+HZ6jNC+kHSffPq5DyVnEIcuYFrDhDb1cH11WLkif4j9rbYMviVaXYmo3
tJZ8VGLjIg==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
J5JN1eL2zdZzwz3EvMoRnTfS3YDZErccd28YHkMtCBlsv9hlsRlx+Oq1DbbsJBUVK6g82dNh/KsD
tL7XhrzoxO29dDXmOz2i/cMxX6jf5LFqgfoXVcNmshwAqisDZ5/A1HkXybzaOtkRhAjoutSetqnv
OIPjqCugUEHupAo74KI=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
xI3nIaN3Fc9pWBsZ/CnjD24eM2NX3QD6Tn/VjcYuZf6uLGR2PQabvPxQWZwot14iCMyGxEuYM7Cj
27GHmdAOJw7gMoal9DLMeEtUceMJF1vJ6P7zXCicsUQlIxgJzF45G38+L8jFXpVYf/RjeQWlxWch
c3q7KH2zNOAsLOq8EKTICvEoa0la9ViJBTy+Bv9ijfOrjfxK4wTtvy7wFnp1mt0TBRTBsqP1VFlk
RsJp5ixwmzn2tKXFabTTUql8wYnhfCfrOCw+bcXKhAoMuPrsrLWBv8qmuiUuyEHtqo9GNeQ8LO5M
kz48jhEU4fskUmLJJee6U18oU8vIh8yDj1t4Wg==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
uG9hMvd/MYPz3OwfX0Z2gSxYw+x4scbP4jV37DSoSZbdwL7a47q1PF5FS20p44z0ZDIBTL2W7xuh
5oRMMUwqa3bQkYek5xjS9jBJzifMb+tlpiN95NV95PKZMliyDyi/Xrnm+gxqLumv3F2fCLTB6OOP
R6tHsPKtGdsOzlmGp2U=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
SQQUjwLc05IlQercp+hbxhlb61yOvUra8wOpFUM+trZSim8qHKDwQ/J6TK3eCnb/IjCPFowe3/6a
xeFxEKaNjpFNSb337NuBBJEpXSkMIl5KA602wOlDU/tXDNbuJRlW7Pi3z2QfnrIxKb7bkKLjdc8B
239fcIV6pZkDFuJvNZXc871uatgZ630hsR/gf/4hfLkxwUl06DWmX8pWRT/uAN/Ip/m9pm+Bpt4+
e9ElvqWJFwds+ZVtsrPIJPMj02srTl7WPoXCkzhczARV8DSBjQeDZD/BNcvlMgOOZ3vvNsasVsfl
89XEGHSWr6h6rWfazkDZOb10oo4APtbXi7IjNQ==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 414048)
`protect data_block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`protect end_protected
|
`protect begin_protected
`protect version = 1
`protect encrypt_agent = "XILINX"
`protect encrypt_agent_info = "Xilinx Encryption Tool 2013"
`protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64)
`protect key_block
Mz3MtVG6e1Ln9I8qtiw+HZ6jNC+kHSffPq5DyVnEIcuYFrDhDb1cH11WLkif4j9rbYMviVaXYmo3
tJZ8VGLjIg==
`protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
J5JN1eL2zdZzwz3EvMoRnTfS3YDZErccd28YHkMtCBlsv9hlsRlx+Oq1DbbsJBUVK6g82dNh/KsD
tL7XhrzoxO29dDXmOz2i/cMxX6jf5LFqgfoXVcNmshwAqisDZ5/A1HkXybzaOtkRhAjoutSetqnv
OIPjqCugUEHupAo74KI=
`protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
xI3nIaN3Fc9pWBsZ/CnjD24eM2NX3QD6Tn/VjcYuZf6uLGR2PQabvPxQWZwot14iCMyGxEuYM7Cj
27GHmdAOJw7gMoal9DLMeEtUceMJF1vJ6P7zXCicsUQlIxgJzF45G38+L8jFXpVYf/RjeQWlxWch
c3q7KH2zNOAsLOq8EKTICvEoa0la9ViJBTy+Bv9ijfOrjfxK4wTtvy7wFnp1mt0TBRTBsqP1VFlk
RsJp5ixwmzn2tKXFabTTUql8wYnhfCfrOCw+bcXKhAoMuPrsrLWBv8qmuiUuyEHtqo9GNeQ8LO5M
kz48jhEU4fskUmLJJee6U18oU8vIh8yDj1t4Wg==
`protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128)
`protect key_block
uG9hMvd/MYPz3OwfX0Z2gSxYw+x4scbP4jV37DSoSZbdwL7a47q1PF5FS20p44z0ZDIBTL2W7xuh
5oRMMUwqa3bQkYek5xjS9jBJzifMb+tlpiN95NV95PKZMliyDyi/Xrnm+gxqLumv3F2fCLTB6OOP
R6tHsPKtGdsOzlmGp2U=
`protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256)
`protect key_block
SQQUjwLc05IlQercp+hbxhlb61yOvUra8wOpFUM+trZSim8qHKDwQ/J6TK3eCnb/IjCPFowe3/6a
xeFxEKaNjpFNSb337NuBBJEpXSkMIl5KA602wOlDU/tXDNbuJRlW7Pi3z2QfnrIxKb7bkKLjdc8B
239fcIV6pZkDFuJvNZXc871uatgZ630hsR/gf/4hfLkxwUl06DWmX8pWRT/uAN/Ip/m9pm+Bpt4+
e9ElvqWJFwds+ZVtsrPIJPMj02srTl7WPoXCkzhczARV8DSBjQeDZD/BNcvlMgOOZ3vvNsasVsfl
89XEGHSWr6h6rWfazkDZOb10oo4APtbXi7IjNQ==
`protect data_method = "AES128-CBC"
`protect encoding = (enctype = "BASE64", line_length = 76, bytes = 414048)
`protect data_block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`protect end_protected
|
-- (c) Copyright 1995-2017 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
-- DO NOT MODIFY THIS FILE.
-- IP VLNV: xilinx.com:user:vga_buffer:1.0
-- IP Revision: 3
LIBRARY ieee;
USE ieee.std_logic_1164.ALL;
USE ieee.numeric_std.ALL;
ENTITY system_vga_buffer_0_0 IS
PORT (
clk_w : IN STD_LOGIC;
clk_r : IN STD_LOGIC;
wen : IN STD_LOGIC;
x_addr_w : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
y_addr_w : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
x_addr_r : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
y_addr_r : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
data_w : IN STD_LOGIC_VECTOR(23 DOWNTO 0);
data_r : OUT STD_LOGIC_VECTOR(23 DOWNTO 0)
);
END system_vga_buffer_0_0;
ARCHITECTURE system_vga_buffer_0_0_arch OF system_vga_buffer_0_0 IS
ATTRIBUTE DowngradeIPIdentifiedWarnings : STRING;
ATTRIBUTE DowngradeIPIdentifiedWarnings OF system_vga_buffer_0_0_arch: ARCHITECTURE IS "yes";
COMPONENT vga_buffer IS
GENERIC (
SIZE_POW2 : INTEGER
);
PORT (
clk_w : IN STD_LOGIC;
clk_r : IN STD_LOGIC;
wen : IN STD_LOGIC;
x_addr_w : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
y_addr_w : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
x_addr_r : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
y_addr_r : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
data_w : IN STD_LOGIC_VECTOR(23 DOWNTO 0);
data_r : OUT STD_LOGIC_VECTOR(23 DOWNTO 0)
);
END COMPONENT vga_buffer;
ATTRIBUTE X_INTERFACE_INFO : STRING;
ATTRIBUTE X_INTERFACE_INFO OF clk_w: SIGNAL IS "xilinx.com:signal:clock:1.0 clk CLK";
BEGIN
U0 : vga_buffer
GENERIC MAP (
SIZE_POW2 => 10
)
PORT MAP (
clk_w => clk_w,
clk_r => clk_r,
wen => wen,
x_addr_w => x_addr_w,
y_addr_w => y_addr_w,
x_addr_r => x_addr_r,
y_addr_r => y_addr_r,
data_w => data_w,
data_r => data_r
);
END system_vga_buffer_0_0_arch;
|
-- (c) Copyright 1995-2017 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
-- DO NOT MODIFY THIS FILE.
-- IP VLNV: xilinx.com:user:vga_buffer:1.0
-- IP Revision: 3
LIBRARY ieee;
USE ieee.std_logic_1164.ALL;
USE ieee.numeric_std.ALL;
ENTITY system_vga_buffer_0_0 IS
PORT (
clk_w : IN STD_LOGIC;
clk_r : IN STD_LOGIC;
wen : IN STD_LOGIC;
x_addr_w : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
y_addr_w : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
x_addr_r : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
y_addr_r : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
data_w : IN STD_LOGIC_VECTOR(23 DOWNTO 0);
data_r : OUT STD_LOGIC_VECTOR(23 DOWNTO 0)
);
END system_vga_buffer_0_0;
ARCHITECTURE system_vga_buffer_0_0_arch OF system_vga_buffer_0_0 IS
ATTRIBUTE DowngradeIPIdentifiedWarnings : STRING;
ATTRIBUTE DowngradeIPIdentifiedWarnings OF system_vga_buffer_0_0_arch: ARCHITECTURE IS "yes";
COMPONENT vga_buffer IS
GENERIC (
SIZE_POW2 : INTEGER
);
PORT (
clk_w : IN STD_LOGIC;
clk_r : IN STD_LOGIC;
wen : IN STD_LOGIC;
x_addr_w : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
y_addr_w : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
x_addr_r : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
y_addr_r : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
data_w : IN STD_LOGIC_VECTOR(23 DOWNTO 0);
data_r : OUT STD_LOGIC_VECTOR(23 DOWNTO 0)
);
END COMPONENT vga_buffer;
ATTRIBUTE X_INTERFACE_INFO : STRING;
ATTRIBUTE X_INTERFACE_INFO OF clk_w: SIGNAL IS "xilinx.com:signal:clock:1.0 clk CLK";
BEGIN
U0 : vga_buffer
GENERIC MAP (
SIZE_POW2 => 10
)
PORT MAP (
clk_w => clk_w,
clk_r => clk_r,
wen => wen,
x_addr_w => x_addr_w,
y_addr_w => y_addr_w,
x_addr_r => x_addr_r,
y_addr_r => y_addr_r,
data_w => data_w,
data_r => data_r
);
END system_vga_buffer_0_0_arch;
|
-- (c) Copyright 1995-2017 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
-- DO NOT MODIFY THIS FILE.
-- IP VLNV: xilinx.com:user:vga_buffer:1.0
-- IP Revision: 3
LIBRARY ieee;
USE ieee.std_logic_1164.ALL;
USE ieee.numeric_std.ALL;
ENTITY system_vga_buffer_0_0 IS
PORT (
clk_w : IN STD_LOGIC;
clk_r : IN STD_LOGIC;
wen : IN STD_LOGIC;
x_addr_w : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
y_addr_w : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
x_addr_r : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
y_addr_r : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
data_w : IN STD_LOGIC_VECTOR(23 DOWNTO 0);
data_r : OUT STD_LOGIC_VECTOR(23 DOWNTO 0)
);
END system_vga_buffer_0_0;
ARCHITECTURE system_vga_buffer_0_0_arch OF system_vga_buffer_0_0 IS
ATTRIBUTE DowngradeIPIdentifiedWarnings : STRING;
ATTRIBUTE DowngradeIPIdentifiedWarnings OF system_vga_buffer_0_0_arch: ARCHITECTURE IS "yes";
COMPONENT vga_buffer IS
GENERIC (
SIZE_POW2 : INTEGER
);
PORT (
clk_w : IN STD_LOGIC;
clk_r : IN STD_LOGIC;
wen : IN STD_LOGIC;
x_addr_w : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
y_addr_w : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
x_addr_r : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
y_addr_r : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
data_w : IN STD_LOGIC_VECTOR(23 DOWNTO 0);
data_r : OUT STD_LOGIC_VECTOR(23 DOWNTO 0)
);
END COMPONENT vga_buffer;
ATTRIBUTE X_INTERFACE_INFO : STRING;
ATTRIBUTE X_INTERFACE_INFO OF clk_w: SIGNAL IS "xilinx.com:signal:clock:1.0 clk CLK";
BEGIN
U0 : vga_buffer
GENERIC MAP (
SIZE_POW2 => 10
)
PORT MAP (
clk_w => clk_w,
clk_r => clk_r,
wen => wen,
x_addr_w => x_addr_w,
y_addr_w => y_addr_w,
x_addr_r => x_addr_r,
y_addr_r => y_addr_r,
data_w => data_w,
data_r => data_r
);
END system_vga_buffer_0_0_arch;
|
-- (c) Copyright 1995-2017 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
-- DO NOT MODIFY THIS FILE.
-- IP VLNV: xilinx.com:user:vga_buffer:1.0
-- IP Revision: 3
LIBRARY ieee;
USE ieee.std_logic_1164.ALL;
USE ieee.numeric_std.ALL;
ENTITY system_vga_buffer_0_0 IS
PORT (
clk_w : IN STD_LOGIC;
clk_r : IN STD_LOGIC;
wen : IN STD_LOGIC;
x_addr_w : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
y_addr_w : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
x_addr_r : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
y_addr_r : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
data_w : IN STD_LOGIC_VECTOR(23 DOWNTO 0);
data_r : OUT STD_LOGIC_VECTOR(23 DOWNTO 0)
);
END system_vga_buffer_0_0;
ARCHITECTURE system_vga_buffer_0_0_arch OF system_vga_buffer_0_0 IS
ATTRIBUTE DowngradeIPIdentifiedWarnings : STRING;
ATTRIBUTE DowngradeIPIdentifiedWarnings OF system_vga_buffer_0_0_arch: ARCHITECTURE IS "yes";
COMPONENT vga_buffer IS
GENERIC (
SIZE_POW2 : INTEGER
);
PORT (
clk_w : IN STD_LOGIC;
clk_r : IN STD_LOGIC;
wen : IN STD_LOGIC;
x_addr_w : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
y_addr_w : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
x_addr_r : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
y_addr_r : IN STD_LOGIC_VECTOR(9 DOWNTO 0);
data_w : IN STD_LOGIC_VECTOR(23 DOWNTO 0);
data_r : OUT STD_LOGIC_VECTOR(23 DOWNTO 0)
);
END COMPONENT vga_buffer;
ATTRIBUTE X_INTERFACE_INFO : STRING;
ATTRIBUTE X_INTERFACE_INFO OF clk_w: SIGNAL IS "xilinx.com:signal:clock:1.0 clk CLK";
BEGIN
U0 : vga_buffer
GENERIC MAP (
SIZE_POW2 => 10
)
PORT MAP (
clk_w => clk_w,
clk_r => clk_r,
wen => wen,
x_addr_w => x_addr_w,
y_addr_w => y_addr_w,
x_addr_r => x_addr_r,
y_addr_r => y_addr_r,
data_w => data_w,
data_r => data_r
);
END system_vga_buffer_0_0_arch;
|
-- Copyright (C) 1996 Morgan Kaufmann Publishers, Inc
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: ch_01_fg_01_11.vhd,v 1.1.1.1 2001-08-22 18:20:47 paw Exp $
-- $Revision: 1.1.1.1 $
--
-- ---------------------------------------------------------------------
architecture struct of reg4 is
signal int_clk : bit;
begin
bit0 : entity work.d_latch(basic)
port map (d0, int_clk, q0);
bit1 : entity work.d_latch(basic)
port map (d1, int_clk, q1);
bit2 : entity work.d_latch(basic)
port map (d2, int_clk, q2);
bit3 : entity work.d_latch(basic)
port map (d3, int_clk, q3);
gate : entity work.and2(basic)
port map (en, clk, int_clk);
end architecture struct;
|
-- Copyright (C) 1996 Morgan Kaufmann Publishers, Inc
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: ch_01_fg_01_11.vhd,v 1.1.1.1 2001-08-22 18:20:47 paw Exp $
-- $Revision: 1.1.1.1 $
--
-- ---------------------------------------------------------------------
architecture struct of reg4 is
signal int_clk : bit;
begin
bit0 : entity work.d_latch(basic)
port map (d0, int_clk, q0);
bit1 : entity work.d_latch(basic)
port map (d1, int_clk, q1);
bit2 : entity work.d_latch(basic)
port map (d2, int_clk, q2);
bit3 : entity work.d_latch(basic)
port map (d3, int_clk, q3);
gate : entity work.and2(basic)
port map (en, clk, int_clk);
end architecture struct;
|
-- Copyright (C) 1996 Morgan Kaufmann Publishers, Inc
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: ch_01_fg_01_11.vhd,v 1.1.1.1 2001-08-22 18:20:47 paw Exp $
-- $Revision: 1.1.1.1 $
--
-- ---------------------------------------------------------------------
architecture struct of reg4 is
signal int_clk : bit;
begin
bit0 : entity work.d_latch(basic)
port map (d0, int_clk, q0);
bit1 : entity work.d_latch(basic)
port map (d1, int_clk, q1);
bit2 : entity work.d_latch(basic)
port map (d2, int_clk, q2);
bit3 : entity work.d_latch(basic)
port map (d3, int_clk, q3);
gate : entity work.and2(basic)
port map (en, clk, int_clk);
end architecture struct;
|
-- Projeto MasterMind
-- Diogo Daniel Soares Ferreira e Eduardo Reis Silva
library IEEE;
use IEEE.STD_LOGIC_1164.all;
use IEEE.NUMERIC_STD.all;
entity Blink is
port( enable : in std_logic;
numberIn : in std_logic_vector(3 downto 0);
numberOut: out std_logic_vector(3 downto 0);
clock : in std_logic;
load : in std_logic);
end Blink;
-- Entidade que faz piscar a uma certa frequência o valor de entrada caso o enable estiver ligado('1').
architecture Behavioral of Blink is
signal checkblink : std_logic;
signal s_nin : std_logic_vector(3 downto 0);
begin
process(clock, enable, load)
begin
if(enable = '1') then
if(rising_edge(clock))then
if(checkblink = '1') then
numberOut <= s_nin;
checkblink<= '0';
else
checkblink<= '1';
numberOut <= "1111";
end if;
end if;
else
checkblink<= '0';
numberOut <= s_nin;
end if;
if(load = '1') then
s_nin <= numberIn;
end if;
end process;
end Behavioral; |
-- -------------------------------------------------------------
--
-- File Name: hdl_prj/hdlsrc/OFDM_transmitter/IFFT_HDL_Optimized.vhd
-- Created: 2017-03-27 15:50:06
--
-- Generated by MATLAB 9.1 and HDL Coder 3.9
--
-- -------------------------------------------------------------
-- -------------------------------------------------------------
--
-- Module: IFFT_HDL_Optimized
-- Source Path: OFDM_transmitter/IFFT HDL Optimized
-- Hierarchy Level: 1
--
-- FFT HDL Optimized
--
-- -------------------------------------------------------------
LIBRARY IEEE;
USE IEEE.std_logic_1164.ALL;
USE IEEE.numeric_std.ALL;
USE work.OFDM_transmitter_pkg.ALL;
ENTITY IFFT_HDL_Optimized IS
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
dataIn_re : IN vector_of_std_logic_vector16(0 TO 15); -- sfix16_En13 [16]
dataIn_im : IN vector_of_std_logic_vector16(0 TO 15); -- sfix16_En13 [16]
validIn : IN std_logic;
dataOut_re : OUT vector_of_std_logic_vector16(0 TO 15); -- sfix16_En13 [16]
dataOut_im : OUT vector_of_std_logic_vector16(0 TO 15); -- sfix16_En13 [16]
validOut : OUT std_logic
);
END IFFT_HDL_Optimized;
ARCHITECTURE rtl OF IFFT_HDL_Optimized IS
-- Component Declarations
COMPONENT RADIX22FFT_SDNF1_1
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
twdlXdin_1_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_1_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_9_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_9_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_1_vld : IN std_logic;
softReset : IN std_logic;
dout_1_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_1_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_2_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_2_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_1_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF1_1_block3
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
twdlXdin_5_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_5_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_13_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_13_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_1_vld : IN std_logic;
softReset : IN std_logic;
dout_9_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_9_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_10_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_10_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_9_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF2_2
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
rotate_1 : IN std_logic; -- ufix1
dout_1_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_1_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_9_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_9_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_1_vld : IN std_logic;
softReset : IN std_logic;
dout_1_re_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_1_im_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_2_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_2_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_2_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF1_1_block
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
twdlXdin_2_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_2_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_10_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_10_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_1_vld : IN std_logic;
softReset : IN std_logic;
dout_3_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_3_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_4_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_4_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_3_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF1_1_block4
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
twdlXdin_6_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_6_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_14_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_14_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_1_vld : IN std_logic;
softReset : IN std_logic;
dout_11_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_11_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_12_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_12_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_11_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF2_2_block
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
rotate_3 : IN std_logic; -- ufix1
dout_3_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_3_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_11_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_11_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_1_vld : IN std_logic;
softReset : IN std_logic;
dout_3_re_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_3_im_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_4_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_4_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_2_vld : OUT std_logic
);
END COMPONENT;
COMPONENT TWDLROM_3_2
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
dout_2_vld : IN std_logic;
softReset : IN std_logic;
twdl_3_2_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_2_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_2_vld : OUT std_logic
);
END COMPONENT;
COMPONENT TWDLMULT_SDNF1_3
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
dout_1_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_1_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_3_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_3_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_2_vld : IN std_logic;
twdl_3_1_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_1_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_2_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_2_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_2_vld : IN std_logic;
softReset : IN std_logic;
twdlXdin_1_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_1_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_2_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_2_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_1_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF1_1_block1
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
twdlXdin_3_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_3_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_11_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_11_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_1_vld : IN std_logic;
softReset : IN std_logic;
dout_5_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_5_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_6_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_6_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_5_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF1_1_block5
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
twdlXdin_7_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_7_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_15_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_15_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_1_vld : IN std_logic;
softReset : IN std_logic;
dout_13_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_13_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_14_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_14_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_13_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF2_2_block1
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
rotate_5 : IN std_logic; -- ufix1
dout_5_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_5_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_13_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_13_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_1_vld : IN std_logic;
softReset : IN std_logic;
dout_5_re_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_5_im_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_6_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_6_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_2_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF1_1_block2
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
twdlXdin_4_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_4_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_12_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_12_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_1_vld : IN std_logic;
softReset : IN std_logic;
dout_7_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_7_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_8_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_8_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_7_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF1_1_block6
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
twdlXdin_8_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_8_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_16_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_16_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_1_vld : IN std_logic;
softReset : IN std_logic;
dout_15_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_15_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_16_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_16_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_15_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF2_2_block2
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
rotate_7 : IN std_logic; -- ufix1
dout_7_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_7_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_15_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_15_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_1_vld : IN std_logic;
softReset : IN std_logic;
dout_7_re_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_7_im_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_8_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_8_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_2_vld : OUT std_logic
);
END COMPONENT;
COMPONENT TWDLROM_3_3
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
dout_2_vld : IN std_logic;
softReset : IN std_logic;
twdl_3_3_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_3_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_3_vld : OUT std_logic
);
END COMPONENT;
COMPONENT TWDLROM_3_4
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
dout_2_vld : IN std_logic;
softReset : IN std_logic;
twdl_3_4_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_4_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_4_vld : OUT std_logic
);
END COMPONENT;
COMPONENT TWDLMULT_SDNF1_3_block
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
dout_5_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_5_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_7_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_7_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_2_vld : IN std_logic;
twdl_3_3_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_3_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_4_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_4_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_4_vld : IN std_logic;
softReset : IN std_logic;
twdlXdin_3_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_3_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_4_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_4_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_3_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF1_3
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
twdlXdin_1_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_1_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_3_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_3_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_1_vld : IN std_logic;
softReset : IN std_logic;
dout_1_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_1_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_2_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_2_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_1_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF1_3_block
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
twdlXdin_2_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_2_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_4_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_4_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_1_vld : IN std_logic;
softReset : IN std_logic;
dout_3_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_3_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_4_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_4_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_3_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF2_4
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
rotate_1 : IN std_logic; -- ufix1
dout_1_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_1_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_3_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_3_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_1_vld : IN std_logic;
softReset : IN std_logic;
dout_1_re_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_1_im_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_2_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_2_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_4_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF2_4_block
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
rotate_3 : IN std_logic; -- ufix1
dout_2_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_2_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_4_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_4_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_1_vld : IN std_logic;
softReset : IN std_logic;
dout_3_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_3_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_4_re_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_4_im_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_4_vld : OUT std_logic
);
END COMPONENT;
COMPONENT TWDLROM_3_6
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
dout_2_vld : IN std_logic;
softReset : IN std_logic;
twdl_3_6_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_6_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_6_vld : OUT std_logic
);
END COMPONENT;
COMPONENT TWDLMULT_SDNF1_3_block1
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
dout_2_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_2_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_4_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_4_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_2_vld : IN std_logic;
twdl_3_5_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_5_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_6_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_6_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_6_vld : IN std_logic;
softReset : IN std_logic;
twdlXdin_5_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_5_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_6_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_6_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_5_vld : OUT std_logic
);
END COMPONENT;
COMPONENT TWDLROM_3_7
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
dout_2_vld : IN std_logic;
softReset : IN std_logic;
twdl_3_7_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_7_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_7_vld : OUT std_logic
);
END COMPONENT;
COMPONENT TWDLROM_3_8
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
dout_2_vld : IN std_logic;
softReset : IN std_logic;
twdl_3_8_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_8_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_8_vld : OUT std_logic
);
END COMPONENT;
COMPONENT TWDLMULT_SDNF1_3_block2
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
dout_6_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_6_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_8_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_8_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_2_vld : IN std_logic;
twdl_3_7_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_7_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_8_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_8_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_8_vld : IN std_logic;
softReset : IN std_logic;
twdlXdin_7_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_7_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_8_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_8_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_7_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF1_3_block1
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
twdlXdin_5_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_5_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_7_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_7_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_1_vld : IN std_logic;
softReset : IN std_logic;
dout_5_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_5_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_6_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_6_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_5_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF1_3_block2
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
twdlXdin_6_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_6_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_8_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_8_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_1_vld : IN std_logic;
softReset : IN std_logic;
dout_7_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_7_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_8_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_8_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_7_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF2_4_block1
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
rotate_5 : IN std_logic; -- ufix1
dout_5_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_5_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_7_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_7_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_1_vld : IN std_logic;
softReset : IN std_logic;
dout_5_re_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_5_im_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_6_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_6_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_4_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF2_4_block2
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
rotate_7 : IN std_logic; -- ufix1
dout_6_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_6_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_8_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_8_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_1_vld : IN std_logic;
softReset : IN std_logic;
dout_7_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_7_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_8_re_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_8_im_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_4_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF2_2_block3
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
rotate_9 : IN std_logic; -- ufix1
dout_2_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_2_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_10_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_10_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_1_vld : IN std_logic;
softReset : IN std_logic;
dout_9_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_9_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_10_re_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_10_im_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_2_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF2_2_block4
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
rotate_11 : IN std_logic; -- ufix1
dout_4_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_4_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_12_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_12_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_1_vld : IN std_logic;
softReset : IN std_logic;
dout_11_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_11_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_12_re_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_12_im_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_2_vld : OUT std_logic
);
END COMPONENT;
COMPONENT TWDLROM_3_10
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
dout_2_vld : IN std_logic;
softReset : IN std_logic;
twdl_3_10_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_10_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_10_vld : OUT std_logic
);
END COMPONENT;
COMPONENT TWDLMULT_SDNF1_3_block3
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
dout_9_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_9_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_11_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_11_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_2_vld : IN std_logic;
twdl_3_9_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_9_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_10_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_10_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_10_vld : IN std_logic;
softReset : IN std_logic;
twdlXdin_9_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_9_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_10_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_10_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_9_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF2_2_block5
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
rotate_13 : IN std_logic; -- ufix1
dout_6_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_6_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_14_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_14_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_1_vld : IN std_logic;
softReset : IN std_logic;
dout_13_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_13_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_14_re_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_14_im_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_2_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF2_2_block6
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
rotate_15 : IN std_logic; -- ufix1
dout_8_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_8_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_16_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_16_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_1_vld : IN std_logic;
softReset : IN std_logic;
dout_15_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_15_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_16_re_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_16_im_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_2_vld : OUT std_logic
);
END COMPONENT;
COMPONENT TWDLROM_3_11
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
dout_2_vld : IN std_logic;
softReset : IN std_logic;
twdl_3_11_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_11_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_11_vld : OUT std_logic
);
END COMPONENT;
COMPONENT TWDLROM_3_12
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
dout_2_vld : IN std_logic;
softReset : IN std_logic;
twdl_3_12_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_12_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_12_vld : OUT std_logic
);
END COMPONENT;
COMPONENT TWDLMULT_SDNF1_3_block4
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
dout_13_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_13_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_15_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_15_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_2_vld : IN std_logic;
twdl_3_11_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_11_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_12_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_12_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_12_vld : IN std_logic;
softReset : IN std_logic;
twdlXdin_11_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_11_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_12_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_12_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_11_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF1_3_block3
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
twdlXdin_9_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_9_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_11_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_11_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_1_vld : IN std_logic;
softReset : IN std_logic;
dout_9_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_9_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_10_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_10_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_9_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF1_3_block4
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
twdlXdin_10_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_10_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_12_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_12_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_1_vld : IN std_logic;
softReset : IN std_logic;
dout_11_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_11_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_12_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_12_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_11_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF2_4_block3
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
rotate_9 : IN std_logic; -- ufix1
dout_9_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_9_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_11_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_11_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_1_vld : IN std_logic;
softReset : IN std_logic;
dout_9_re_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_9_im_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_10_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_10_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_4_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF2_4_block4
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
rotate_11 : IN std_logic; -- ufix1
dout_10_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_10_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_12_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_12_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_1_vld : IN std_logic;
softReset : IN std_logic;
dout_11_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_11_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_12_re_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_12_im_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_4_vld : OUT std_logic
);
END COMPONENT;
COMPONENT TWDLROM_3_14
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
dout_2_vld : IN std_logic;
softReset : IN std_logic;
twdl_3_14_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_14_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_14_vld : OUT std_logic
);
END COMPONENT;
COMPONENT TWDLMULT_SDNF1_3_block5
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
dout_10_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_10_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_12_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_12_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_2_vld : IN std_logic;
twdl_3_13_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_13_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_14_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_14_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_14_vld : IN std_logic;
softReset : IN std_logic;
twdlXdin_13_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_13_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_14_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_14_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_13_vld : OUT std_logic
);
END COMPONENT;
COMPONENT TWDLROM_3_15
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
dout_2_vld : IN std_logic;
softReset : IN std_logic;
twdl_3_15_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_15_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_15_vld : OUT std_logic
);
END COMPONENT;
COMPONENT TWDLROM_3_16
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
dout_2_vld : IN std_logic;
softReset : IN std_logic;
twdl_3_16_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_16_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_16_vld : OUT std_logic
);
END COMPONENT;
COMPONENT TWDLMULT_SDNF1_3_block6
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
dout_14_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_14_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_16_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_16_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_2_vld : IN std_logic;
twdl_3_15_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_15_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_16_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_16_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En14
twdl_3_16_vld : IN std_logic;
softReset : IN std_logic;
twdlXdin_15_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_15_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_16_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_16_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_15_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF1_3_block5
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
twdlXdin_13_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_13_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_15_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_15_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_1_vld : IN std_logic;
softReset : IN std_logic;
dout_13_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_13_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_14_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_14_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_13_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF1_3_block6
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
twdlXdin_14_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_14_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_16_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_16_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
twdlXdin_1_vld : IN std_logic;
softReset : IN std_logic;
dout_15_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_15_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_16_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_16_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_15_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF2_4_block5
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
rotate_13 : IN std_logic; -- ufix1
dout_13_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_13_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_15_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_15_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_1_vld : IN std_logic;
softReset : IN std_logic;
dout_13_re_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_13_im_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_14_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_14_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_4_vld : OUT std_logic
);
END COMPONENT;
COMPONENT RADIX22FFT_SDNF2_4_block6
PORT( clk : IN std_logic;
reset : IN std_logic;
enb_1_16_0 : IN std_logic;
rotate_15 : IN std_logic; -- ufix1
dout_14_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_14_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_16_re : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_16_im : IN std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_1_vld : IN std_logic;
softReset : IN std_logic;
dout_15_re : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_15_im : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_16_re_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_16_im_1 : OUT std_logic_vector(15 DOWNTO 0); -- sfix16_En13
dout_4_vld : OUT std_logic
);
END COMPONENT;
-- Component Configuration Statements
FOR ALL : RADIX22FFT_SDNF1_1
USE ENTITY work.RADIX22FFT_SDNF1_1(rtl);
FOR ALL : RADIX22FFT_SDNF1_1_block3
USE ENTITY work.RADIX22FFT_SDNF1_1_block3(rtl);
FOR ALL : RADIX22FFT_SDNF2_2
USE ENTITY work.RADIX22FFT_SDNF2_2(rtl);
FOR ALL : RADIX22FFT_SDNF1_1_block
USE ENTITY work.RADIX22FFT_SDNF1_1_block(rtl);
FOR ALL : RADIX22FFT_SDNF1_1_block4
USE ENTITY work.RADIX22FFT_SDNF1_1_block4(rtl);
FOR ALL : RADIX22FFT_SDNF2_2_block
USE ENTITY work.RADIX22FFT_SDNF2_2_block(rtl);
FOR ALL : TWDLROM_3_2
USE ENTITY work.TWDLROM_3_2(rtl);
FOR ALL : TWDLMULT_SDNF1_3
USE ENTITY work.TWDLMULT_SDNF1_3(rtl);
FOR ALL : RADIX22FFT_SDNF1_1_block1
USE ENTITY work.RADIX22FFT_SDNF1_1_block1(rtl);
FOR ALL : RADIX22FFT_SDNF1_1_block5
USE ENTITY work.RADIX22FFT_SDNF1_1_block5(rtl);
FOR ALL : RADIX22FFT_SDNF2_2_block1
USE ENTITY work.RADIX22FFT_SDNF2_2_block1(rtl);
FOR ALL : RADIX22FFT_SDNF1_1_block2
USE ENTITY work.RADIX22FFT_SDNF1_1_block2(rtl);
FOR ALL : RADIX22FFT_SDNF1_1_block6
USE ENTITY work.RADIX22FFT_SDNF1_1_block6(rtl);
FOR ALL : RADIX22FFT_SDNF2_2_block2
USE ENTITY work.RADIX22FFT_SDNF2_2_block2(rtl);
FOR ALL : TWDLROM_3_3
USE ENTITY work.TWDLROM_3_3(rtl);
FOR ALL : TWDLROM_3_4
USE ENTITY work.TWDLROM_3_4(rtl);
FOR ALL : TWDLMULT_SDNF1_3_block
USE ENTITY work.TWDLMULT_SDNF1_3_block(rtl);
FOR ALL : RADIX22FFT_SDNF1_3
USE ENTITY work.RADIX22FFT_SDNF1_3(rtl);
FOR ALL : RADIX22FFT_SDNF1_3_block
USE ENTITY work.RADIX22FFT_SDNF1_3_block(rtl);
FOR ALL : RADIX22FFT_SDNF2_4
USE ENTITY work.RADIX22FFT_SDNF2_4(rtl);
FOR ALL : RADIX22FFT_SDNF2_4_block
USE ENTITY work.RADIX22FFT_SDNF2_4_block(rtl);
FOR ALL : TWDLROM_3_6
USE ENTITY work.TWDLROM_3_6(rtl);
FOR ALL : TWDLMULT_SDNF1_3_block1
USE ENTITY work.TWDLMULT_SDNF1_3_block1(rtl);
FOR ALL : TWDLROM_3_7
USE ENTITY work.TWDLROM_3_7(rtl);
FOR ALL : TWDLROM_3_8
USE ENTITY work.TWDLROM_3_8(rtl);
FOR ALL : TWDLMULT_SDNF1_3_block2
USE ENTITY work.TWDLMULT_SDNF1_3_block2(rtl);
FOR ALL : RADIX22FFT_SDNF1_3_block1
USE ENTITY work.RADIX22FFT_SDNF1_3_block1(rtl);
FOR ALL : RADIX22FFT_SDNF1_3_block2
USE ENTITY work.RADIX22FFT_SDNF1_3_block2(rtl);
FOR ALL : RADIX22FFT_SDNF2_4_block1
USE ENTITY work.RADIX22FFT_SDNF2_4_block1(rtl);
FOR ALL : RADIX22FFT_SDNF2_4_block2
USE ENTITY work.RADIX22FFT_SDNF2_4_block2(rtl);
FOR ALL : RADIX22FFT_SDNF2_2_block3
USE ENTITY work.RADIX22FFT_SDNF2_2_block3(rtl);
FOR ALL : RADIX22FFT_SDNF2_2_block4
USE ENTITY work.RADIX22FFT_SDNF2_2_block4(rtl);
FOR ALL : TWDLROM_3_10
USE ENTITY work.TWDLROM_3_10(rtl);
FOR ALL : TWDLMULT_SDNF1_3_block3
USE ENTITY work.TWDLMULT_SDNF1_3_block3(rtl);
FOR ALL : RADIX22FFT_SDNF2_2_block5
USE ENTITY work.RADIX22FFT_SDNF2_2_block5(rtl);
FOR ALL : RADIX22FFT_SDNF2_2_block6
USE ENTITY work.RADIX22FFT_SDNF2_2_block6(rtl);
FOR ALL : TWDLROM_3_11
USE ENTITY work.TWDLROM_3_11(rtl);
FOR ALL : TWDLROM_3_12
USE ENTITY work.TWDLROM_3_12(rtl);
FOR ALL : TWDLMULT_SDNF1_3_block4
USE ENTITY work.TWDLMULT_SDNF1_3_block4(rtl);
FOR ALL : RADIX22FFT_SDNF1_3_block3
USE ENTITY work.RADIX22FFT_SDNF1_3_block3(rtl);
FOR ALL : RADIX22FFT_SDNF1_3_block4
USE ENTITY work.RADIX22FFT_SDNF1_3_block4(rtl);
FOR ALL : RADIX22FFT_SDNF2_4_block3
USE ENTITY work.RADIX22FFT_SDNF2_4_block3(rtl);
FOR ALL : RADIX22FFT_SDNF2_4_block4
USE ENTITY work.RADIX22FFT_SDNF2_4_block4(rtl);
FOR ALL : TWDLROM_3_14
USE ENTITY work.TWDLROM_3_14(rtl);
FOR ALL : TWDLMULT_SDNF1_3_block5
USE ENTITY work.TWDLMULT_SDNF1_3_block5(rtl);
FOR ALL : TWDLROM_3_15
USE ENTITY work.TWDLROM_3_15(rtl);
FOR ALL : TWDLROM_3_16
USE ENTITY work.TWDLROM_3_16(rtl);
FOR ALL : TWDLMULT_SDNF1_3_block6
USE ENTITY work.TWDLMULT_SDNF1_3_block6(rtl);
FOR ALL : RADIX22FFT_SDNF1_3_block5
USE ENTITY work.RADIX22FFT_SDNF1_3_block5(rtl);
FOR ALL : RADIX22FFT_SDNF1_3_block6
USE ENTITY work.RADIX22FFT_SDNF1_3_block6(rtl);
FOR ALL : RADIX22FFT_SDNF2_4_block5
USE ENTITY work.RADIX22FFT_SDNF2_4_block5(rtl);
FOR ALL : RADIX22FFT_SDNF2_4_block6
USE ENTITY work.RADIX22FFT_SDNF2_4_block6(rtl);
-- Signals
SIGNAL rotate_1 : std_logic; -- ufix1
SIGNAL rotate_1_1 : std_logic; -- ufix1
SIGNAL twdlXdin_1_vld : std_logic;
SIGNAL softReset : std_logic;
SIGNAL dout_1_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_1_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_2_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_2_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_1_vld : std_logic;
SIGNAL dout_9_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_9_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_10_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_10_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_9_vld : std_logic;
SIGNAL dout_1_re_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_1_im_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_2_re_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_2_im_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_2_vld : std_logic;
SIGNAL rotate_3 : std_logic; -- ufix1
SIGNAL dout_3_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_3_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_4_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_4_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_3_vld : std_logic;
SIGNAL dout_11_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_11_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_12_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_12_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_11_vld : std_logic;
SIGNAL dout_3_re_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_3_im_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_4_re_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_4_im_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_2_vld_1 : std_logic;
SIGNAL twdl_3_1_re : signed(15 DOWNTO 0); -- sfix16_En14
SIGNAL twdl_3_1_im : signed(15 DOWNTO 0); -- sfix16_En14
SIGNAL twdl_3_2_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdl_3_2_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdl_3_2_vld : std_logic;
SIGNAL twdlXdin_1_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_1_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_2_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_2_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_1_vld_1 : std_logic;
SIGNAL rotate_5 : std_logic; -- ufix1
SIGNAL dout_5_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_5_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_6_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_6_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_5_vld : std_logic;
SIGNAL dout_13_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_13_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_14_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_14_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_13_vld : std_logic;
SIGNAL dout_5_re_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_5_im_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_6_re_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_6_im_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_2_vld_2 : std_logic;
SIGNAL rotate_7 : std_logic; -- ufix1
SIGNAL dout_7_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_7_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_8_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_8_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_7_vld : std_logic;
SIGNAL dout_15_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_15_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_16_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_16_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_15_vld : std_logic;
SIGNAL dout_7_re_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_7_im_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_8_re_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_8_im_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_2_vld_3 : std_logic;
SIGNAL twdl_3_3_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdl_3_3_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdl_3_3_vld : std_logic;
SIGNAL twdl_3_4_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdl_3_4_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdl_3_4_vld : std_logic;
SIGNAL twdlXdin_3_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_3_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_4_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_4_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_3_vld : std_logic;
SIGNAL dout_1_re_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_1_im_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_2_re_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_2_im_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_1_vld_1 : std_logic;
SIGNAL dout_3_re_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_3_im_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_4_re_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_4_im_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_3_vld_1 : std_logic;
SIGNAL dout_4_vld : std_logic;
SIGNAL rotate_3_1 : std_logic; -- ufix1
SIGNAL dout_4_vld_1 : std_logic;
SIGNAL rotate_5_1 : std_logic; -- ufix1
SIGNAL twdl_3_5_re : signed(15 DOWNTO 0); -- sfix16_En14
SIGNAL twdl_3_5_im : signed(15 DOWNTO 0); -- sfix16_En14
SIGNAL twdl_3_6_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdl_3_6_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdl_3_6_vld : std_logic;
SIGNAL twdlXdin_5_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_5_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_6_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_6_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_5_vld : std_logic;
SIGNAL twdl_3_7_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdl_3_7_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdl_3_7_vld : std_logic;
SIGNAL twdl_3_8_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdl_3_8_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdl_3_8_vld : std_logic;
SIGNAL twdlXdin_7_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_7_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_8_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_8_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_7_vld : std_logic;
SIGNAL dout_5_re_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_5_im_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_6_re_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_6_im_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_5_vld_1 : std_logic;
SIGNAL dout_7_re_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_7_im_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_8_re_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_8_im_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_7_vld_1 : std_logic;
SIGNAL dout_4_vld_2 : std_logic;
SIGNAL rotate_7_1 : std_logic; -- ufix1
SIGNAL dout_4_vld_3 : std_logic;
SIGNAL rotate_9 : std_logic; -- ufix1
SIGNAL rotate_9_1 : std_logic; -- ufix1
SIGNAL dout_9_re_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_9_im_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_10_re_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_10_im_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_2_vld_4 : std_logic;
SIGNAL rotate_11 : std_logic; -- ufix1
SIGNAL dout_11_re_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_11_im_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_12_re_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_12_im_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_2_vld_5 : std_logic;
SIGNAL twdl_3_9_re : signed(15 DOWNTO 0); -- sfix16_En14
SIGNAL twdl_3_9_im : signed(15 DOWNTO 0); -- sfix16_En14
SIGNAL twdl_3_10_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdl_3_10_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdl_3_10_vld : std_logic;
SIGNAL twdlXdin_9_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_9_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_10_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_10_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_9_vld : std_logic;
SIGNAL rotate_13 : std_logic; -- ufix1
SIGNAL dout_13_re_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_13_im_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_14_re_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_14_im_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_2_vld_6 : std_logic;
SIGNAL rotate_15 : std_logic; -- ufix1
SIGNAL dout_15_re_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_15_im_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_16_re_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_16_im_1 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_2_vld_7 : std_logic;
SIGNAL twdl_3_11_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdl_3_11_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdl_3_11_vld : std_logic;
SIGNAL twdl_3_12_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdl_3_12_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdl_3_12_vld : std_logic;
SIGNAL twdlXdin_11_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_11_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_12_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_12_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_11_vld : std_logic;
SIGNAL dout_9_re_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_9_im_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_10_re_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_10_im_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_9_vld_1 : std_logic;
SIGNAL dout_11_re_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_11_im_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_12_re_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_12_im_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_11_vld_1 : std_logic;
SIGNAL dout_4_vld_4 : std_logic;
SIGNAL rotate_11_1 : std_logic; -- ufix1
SIGNAL dout_4_vld_5 : std_logic;
SIGNAL rotate_13_1 : std_logic; -- ufix1
SIGNAL twdl_3_13_re : signed(15 DOWNTO 0); -- sfix16_En14
SIGNAL twdl_3_13_im : signed(15 DOWNTO 0); -- sfix16_En14
SIGNAL twdl_3_14_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdl_3_14_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdl_3_14_vld : std_logic;
SIGNAL twdlXdin_13_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_13_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_14_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_14_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_13_vld : std_logic;
SIGNAL twdl_3_15_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdl_3_15_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdl_3_15_vld : std_logic;
SIGNAL twdl_3_16_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdl_3_16_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdl_3_16_vld : std_logic;
SIGNAL twdlXdin_15_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_15_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_16_re : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_16_im : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL twdlXdin_15_vld : std_logic;
SIGNAL dout_13_re_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_13_im_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_14_re_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_14_im_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_13_vld_1 : std_logic;
SIGNAL dout_15_re_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_15_im_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_16_re_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_16_im_2 : std_logic_vector(15 DOWNTO 0); -- ufix16
SIGNAL dout_15_vld_1 : std_logic;
SIGNAL dout_4_vld_6 : std_logic;
SIGNAL rotate_15_1 : std_logic; -- ufix1
SIGNAL dout_4_vld_7 : std_logic;
SIGNAL dataOut_re_tmp : vector_of_std_logic_vector16(0 TO 15); -- ufix16 [16]
SIGNAL dataOut_im_tmp : vector_of_std_logic_vector16(0 TO 15); -- ufix16 [16]
BEGIN
u_SDNF1_1_1 : RADIX22FFT_SDNF1_1
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
twdlXdin_1_re => dataIn_im(0), -- sfix16_En13
twdlXdin_1_im => dataIn_re(0), -- sfix16_En13
twdlXdin_9_re => dataIn_im(8), -- sfix16_En13
twdlXdin_9_im => dataIn_re(8), -- sfix16_En13
twdlXdin_1_vld => twdlXdin_1_vld,
softReset => softReset,
dout_1_re => dout_1_re, -- sfix16_En13
dout_1_im => dout_1_im, -- sfix16_En13
dout_2_re => dout_2_re, -- sfix16_En13
dout_2_im => dout_2_im, -- sfix16_En13
dout_1_vld => dout_1_vld
);
u_SDNF1_1_9 : RADIX22FFT_SDNF1_1_block3
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
twdlXdin_5_re => dataIn_im(4), -- sfix16_En13
twdlXdin_5_im => dataIn_re(4), -- sfix16_En13
twdlXdin_13_re => dataIn_im(12), -- sfix16_En13
twdlXdin_13_im => dataIn_re(12), -- sfix16_En13
twdlXdin_1_vld => twdlXdin_1_vld,
softReset => softReset,
dout_9_re => dout_9_re, -- sfix16_En13
dout_9_im => dout_9_im, -- sfix16_En13
dout_10_re => dout_10_re, -- sfix16_En13
dout_10_im => dout_10_im, -- sfix16_En13
dout_9_vld => dout_9_vld
);
u_SDNF2_2_1 : RADIX22FFT_SDNF2_2
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
rotate_1 => rotate_1_1, -- ufix1
dout_1_re => dout_1_re, -- sfix16_En13
dout_1_im => dout_1_im, -- sfix16_En13
dout_9_re => dout_9_re, -- sfix16_En13
dout_9_im => dout_9_im, -- sfix16_En13
dout_1_vld => dout_1_vld,
softReset => softReset,
dout_1_re_1 => dout_1_re_1, -- sfix16_En13
dout_1_im_1 => dout_1_im_1, -- sfix16_En13
dout_2_re => dout_2_re_1, -- sfix16_En13
dout_2_im => dout_2_im_1, -- sfix16_En13
dout_2_vld => dout_2_vld
);
u_SDNF1_1_3 : RADIX22FFT_SDNF1_1_block
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
twdlXdin_2_re => dataIn_im(1), -- sfix16_En13
twdlXdin_2_im => dataIn_re(1), -- sfix16_En13
twdlXdin_10_re => dataIn_im(9), -- sfix16_En13
twdlXdin_10_im => dataIn_re(9), -- sfix16_En13
twdlXdin_1_vld => twdlXdin_1_vld,
softReset => softReset,
dout_3_re => dout_3_re, -- sfix16_En13
dout_3_im => dout_3_im, -- sfix16_En13
dout_4_re => dout_4_re, -- sfix16_En13
dout_4_im => dout_4_im, -- sfix16_En13
dout_3_vld => dout_3_vld
);
u_SDNF1_1_11 : RADIX22FFT_SDNF1_1_block4
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
twdlXdin_6_re => dataIn_im(5), -- sfix16_En13
twdlXdin_6_im => dataIn_re(5), -- sfix16_En13
twdlXdin_14_re => dataIn_im(13), -- sfix16_En13
twdlXdin_14_im => dataIn_re(13), -- sfix16_En13
twdlXdin_1_vld => twdlXdin_1_vld,
softReset => softReset,
dout_11_re => dout_11_re, -- sfix16_En13
dout_11_im => dout_11_im, -- sfix16_En13
dout_12_re => dout_12_re, -- sfix16_En13
dout_12_im => dout_12_im, -- sfix16_En13
dout_11_vld => dout_11_vld
);
u_SDNF2_2_3 : RADIX22FFT_SDNF2_2_block
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
rotate_3 => rotate_3, -- ufix1
dout_3_re => dout_3_re, -- sfix16_En13
dout_3_im => dout_3_im, -- sfix16_En13
dout_11_re => dout_11_re, -- sfix16_En13
dout_11_im => dout_11_im, -- sfix16_En13
dout_1_vld => dout_1_vld,
softReset => softReset,
dout_3_re_1 => dout_3_re_1, -- sfix16_En13
dout_3_im_1 => dout_3_im_1, -- sfix16_En13
dout_4_re => dout_4_re_1, -- sfix16_En13
dout_4_im => dout_4_im_1, -- sfix16_En13
dout_2_vld => dout_2_vld_1
);
u_twdlROM_3_2 : TWDLROM_3_2
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
dout_2_vld => dout_2_vld,
softReset => softReset,
twdl_3_2_re => twdl_3_2_re, -- sfix16_En14
twdl_3_2_im => twdl_3_2_im, -- sfix16_En14
twdl_3_2_vld => twdl_3_2_vld
);
u_TWDLMULT_SDNF1_3_1 : TWDLMULT_SDNF1_3
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
dout_1_re => dout_1_re_1, -- sfix16_En13
dout_1_im => dout_1_im_1, -- sfix16_En13
dout_3_re => dout_3_re_1, -- sfix16_En13
dout_3_im => dout_3_im_1, -- sfix16_En13
dout_2_vld => dout_2_vld,
twdl_3_1_re => std_logic_vector(twdl_3_1_re), -- sfix16_En14
twdl_3_1_im => std_logic_vector(twdl_3_1_im), -- sfix16_En14
twdl_3_2_re => twdl_3_2_re, -- sfix16_En14
twdl_3_2_im => twdl_3_2_im, -- sfix16_En14
twdl_3_2_vld => twdl_3_2_vld,
softReset => softReset,
twdlXdin_1_re => twdlXdin_1_re, -- sfix16_En13
twdlXdin_1_im => twdlXdin_1_im, -- sfix16_En13
twdlXdin_2_re => twdlXdin_2_re, -- sfix16_En13
twdlXdin_2_im => twdlXdin_2_im, -- sfix16_En13
twdlXdin_1_vld => twdlXdin_1_vld_1
);
u_SDNF1_1_5 : RADIX22FFT_SDNF1_1_block1
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
twdlXdin_3_re => dataIn_im(2), -- sfix16_En13
twdlXdin_3_im => dataIn_re(2), -- sfix16_En13
twdlXdin_11_re => dataIn_im(10), -- sfix16_En13
twdlXdin_11_im => dataIn_re(10), -- sfix16_En13
twdlXdin_1_vld => twdlXdin_1_vld,
softReset => softReset,
dout_5_re => dout_5_re, -- sfix16_En13
dout_5_im => dout_5_im, -- sfix16_En13
dout_6_re => dout_6_re, -- sfix16_En13
dout_6_im => dout_6_im, -- sfix16_En13
dout_5_vld => dout_5_vld
);
u_SDNF1_1_13 : RADIX22FFT_SDNF1_1_block5
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
twdlXdin_7_re => dataIn_im(6), -- sfix16_En13
twdlXdin_7_im => dataIn_re(6), -- sfix16_En13
twdlXdin_15_re => dataIn_im(14), -- sfix16_En13
twdlXdin_15_im => dataIn_re(14), -- sfix16_En13
twdlXdin_1_vld => twdlXdin_1_vld,
softReset => softReset,
dout_13_re => dout_13_re, -- sfix16_En13
dout_13_im => dout_13_im, -- sfix16_En13
dout_14_re => dout_14_re, -- sfix16_En13
dout_14_im => dout_14_im, -- sfix16_En13
dout_13_vld => dout_13_vld
);
u_SDNF2_2_5 : RADIX22FFT_SDNF2_2_block1
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
rotate_5 => rotate_5, -- ufix1
dout_5_re => dout_5_re, -- sfix16_En13
dout_5_im => dout_5_im, -- sfix16_En13
dout_13_re => dout_13_re, -- sfix16_En13
dout_13_im => dout_13_im, -- sfix16_En13
dout_1_vld => dout_1_vld,
softReset => softReset,
dout_5_re_1 => dout_5_re_1, -- sfix16_En13
dout_5_im_1 => dout_5_im_1, -- sfix16_En13
dout_6_re => dout_6_re_1, -- sfix16_En13
dout_6_im => dout_6_im_1, -- sfix16_En13
dout_2_vld => dout_2_vld_2
);
u_SDNF1_1_7 : RADIX22FFT_SDNF1_1_block2
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
twdlXdin_4_re => dataIn_im(3), -- sfix16_En13
twdlXdin_4_im => dataIn_re(3), -- sfix16_En13
twdlXdin_12_re => dataIn_im(11), -- sfix16_En13
twdlXdin_12_im => dataIn_re(11), -- sfix16_En13
twdlXdin_1_vld => twdlXdin_1_vld,
softReset => softReset,
dout_7_re => dout_7_re, -- sfix16_En13
dout_7_im => dout_7_im, -- sfix16_En13
dout_8_re => dout_8_re, -- sfix16_En13
dout_8_im => dout_8_im, -- sfix16_En13
dout_7_vld => dout_7_vld
);
u_SDNF1_1_15 : RADIX22FFT_SDNF1_1_block6
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
twdlXdin_8_re => dataIn_im(7), -- sfix16_En13
twdlXdin_8_im => dataIn_re(7), -- sfix16_En13
twdlXdin_16_re => dataIn_im(15), -- sfix16_En13
twdlXdin_16_im => dataIn_re(15), -- sfix16_En13
twdlXdin_1_vld => twdlXdin_1_vld,
softReset => softReset,
dout_15_re => dout_15_re, -- sfix16_En13
dout_15_im => dout_15_im, -- sfix16_En13
dout_16_re => dout_16_re, -- sfix16_En13
dout_16_im => dout_16_im, -- sfix16_En13
dout_15_vld => dout_15_vld
);
u_SDNF2_2_7 : RADIX22FFT_SDNF2_2_block2
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
rotate_7 => rotate_7, -- ufix1
dout_7_re => dout_7_re, -- sfix16_En13
dout_7_im => dout_7_im, -- sfix16_En13
dout_15_re => dout_15_re, -- sfix16_En13
dout_15_im => dout_15_im, -- sfix16_En13
dout_1_vld => dout_1_vld,
softReset => softReset,
dout_7_re_1 => dout_7_re_1, -- sfix16_En13
dout_7_im_1 => dout_7_im_1, -- sfix16_En13
dout_8_re => dout_8_re_1, -- sfix16_En13
dout_8_im => dout_8_im_1, -- sfix16_En13
dout_2_vld => dout_2_vld_3
);
u_twdlROM_3_3 : TWDLROM_3_3
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
dout_2_vld => dout_2_vld,
softReset => softReset,
twdl_3_3_re => twdl_3_3_re, -- sfix16_En14
twdl_3_3_im => twdl_3_3_im, -- sfix16_En14
twdl_3_3_vld => twdl_3_3_vld
);
u_twdlROM_3_4 : TWDLROM_3_4
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
dout_2_vld => dout_2_vld,
softReset => softReset,
twdl_3_4_re => twdl_3_4_re, -- sfix16_En14
twdl_3_4_im => twdl_3_4_im, -- sfix16_En14
twdl_3_4_vld => twdl_3_4_vld
);
u_TWDLMULT_SDNF1_3_3 : TWDLMULT_SDNF1_3_block
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
dout_5_re => dout_5_re_1, -- sfix16_En13
dout_5_im => dout_5_im_1, -- sfix16_En13
dout_7_re => dout_7_re_1, -- sfix16_En13
dout_7_im => dout_7_im_1, -- sfix16_En13
dout_2_vld => dout_2_vld,
twdl_3_3_re => twdl_3_3_re, -- sfix16_En14
twdl_3_3_im => twdl_3_3_im, -- sfix16_En14
twdl_3_4_re => twdl_3_4_re, -- sfix16_En14
twdl_3_4_im => twdl_3_4_im, -- sfix16_En14
twdl_3_4_vld => twdl_3_4_vld,
softReset => softReset,
twdlXdin_3_re => twdlXdin_3_re, -- sfix16_En13
twdlXdin_3_im => twdlXdin_3_im, -- sfix16_En13
twdlXdin_4_re => twdlXdin_4_re, -- sfix16_En13
twdlXdin_4_im => twdlXdin_4_im, -- sfix16_En13
twdlXdin_3_vld => twdlXdin_3_vld
);
u_SDNF1_3_1 : RADIX22FFT_SDNF1_3
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
twdlXdin_1_re => twdlXdin_1_re, -- sfix16_En13
twdlXdin_1_im => twdlXdin_1_im, -- sfix16_En13
twdlXdin_3_re => twdlXdin_3_re, -- sfix16_En13
twdlXdin_3_im => twdlXdin_3_im, -- sfix16_En13
twdlXdin_1_vld => twdlXdin_1_vld_1,
softReset => softReset,
dout_1_re => dout_1_re_2, -- sfix16_En13
dout_1_im => dout_1_im_2, -- sfix16_En13
dout_2_re => dout_2_re_2, -- sfix16_En13
dout_2_im => dout_2_im_2, -- sfix16_En13
dout_1_vld => dout_1_vld_1
);
u_SDNF1_3_3 : RADIX22FFT_SDNF1_3_block
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
twdlXdin_2_re => twdlXdin_2_re, -- sfix16_En13
twdlXdin_2_im => twdlXdin_2_im, -- sfix16_En13
twdlXdin_4_re => twdlXdin_4_re, -- sfix16_En13
twdlXdin_4_im => twdlXdin_4_im, -- sfix16_En13
twdlXdin_1_vld => twdlXdin_1_vld_1,
softReset => softReset,
dout_3_re => dout_3_re_2, -- sfix16_En13
dout_3_im => dout_3_im_2, -- sfix16_En13
dout_4_re => dout_4_re_2, -- sfix16_En13
dout_4_im => dout_4_im_2, -- sfix16_En13
dout_3_vld => dout_3_vld_1
);
u_SDNF2_4_1 : RADIX22FFT_SDNF2_4
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
rotate_1 => rotate_1, -- ufix1
dout_1_re => dout_1_re_2, -- sfix16_En13
dout_1_im => dout_1_im_2, -- sfix16_En13
dout_3_re => dout_3_re_2, -- sfix16_En13
dout_3_im => dout_3_im_2, -- sfix16_En13
dout_1_vld => dout_1_vld_1,
softReset => softReset,
dout_1_re_1 => dataOut_im_tmp(0), -- sfix16_En13
dout_1_im_1 => dataOut_re_tmp(0), -- sfix16_En13
dout_2_re => dataOut_im_tmp(1), -- sfix16_En13
dout_2_im => dataOut_re_tmp(1), -- sfix16_En13
dout_4_vld => dout_4_vld
);
u_SDNF2_4_3 : RADIX22FFT_SDNF2_4_block
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
rotate_3 => rotate_3_1, -- ufix1
dout_2_re => dout_2_re_2, -- sfix16_En13
dout_2_im => dout_2_im_2, -- sfix16_En13
dout_4_re => dout_4_re_2, -- sfix16_En13
dout_4_im => dout_4_im_2, -- sfix16_En13
dout_1_vld => dout_1_vld_1,
softReset => softReset,
dout_3_re => dataOut_im_tmp(2), -- sfix16_En13
dout_3_im => dataOut_re_tmp(2), -- sfix16_En13
dout_4_re_1 => dataOut_im_tmp(3), -- sfix16_En13
dout_4_im_1 => dataOut_re_tmp(3), -- sfix16_En13
dout_4_vld => dout_4_vld_1
);
u_twdlROM_3_6 : TWDLROM_3_6
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
dout_2_vld => dout_2_vld,
softReset => softReset,
twdl_3_6_re => twdl_3_6_re, -- sfix16_En14
twdl_3_6_im => twdl_3_6_im, -- sfix16_En14
twdl_3_6_vld => twdl_3_6_vld
);
u_TWDLMULT_SDNF1_3_5 : TWDLMULT_SDNF1_3_block1
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
dout_2_re => dout_2_re_1, -- sfix16_En13
dout_2_im => dout_2_im_1, -- sfix16_En13
dout_4_re => dout_4_re_1, -- sfix16_En13
dout_4_im => dout_4_im_1, -- sfix16_En13
dout_2_vld => dout_2_vld,
twdl_3_5_re => std_logic_vector(twdl_3_5_re), -- sfix16_En14
twdl_3_5_im => std_logic_vector(twdl_3_5_im), -- sfix16_En14
twdl_3_6_re => twdl_3_6_re, -- sfix16_En14
twdl_3_6_im => twdl_3_6_im, -- sfix16_En14
twdl_3_6_vld => twdl_3_6_vld,
softReset => softReset,
twdlXdin_5_re => twdlXdin_5_re, -- sfix16_En13
twdlXdin_5_im => twdlXdin_5_im, -- sfix16_En13
twdlXdin_6_re => twdlXdin_6_re, -- sfix16_En13
twdlXdin_6_im => twdlXdin_6_im, -- sfix16_En13
twdlXdin_5_vld => twdlXdin_5_vld
);
u_twdlROM_3_7 : TWDLROM_3_7
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
dout_2_vld => dout_2_vld,
softReset => softReset,
twdl_3_7_re => twdl_3_7_re, -- sfix16_En14
twdl_3_7_im => twdl_3_7_im, -- sfix16_En14
twdl_3_7_vld => twdl_3_7_vld
);
u_twdlROM_3_8 : TWDLROM_3_8
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
dout_2_vld => dout_2_vld,
softReset => softReset,
twdl_3_8_re => twdl_3_8_re, -- sfix16_En14
twdl_3_8_im => twdl_3_8_im, -- sfix16_En14
twdl_3_8_vld => twdl_3_8_vld
);
u_TWDLMULT_SDNF1_3_7 : TWDLMULT_SDNF1_3_block2
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
dout_6_re => dout_6_re_1, -- sfix16_En13
dout_6_im => dout_6_im_1, -- sfix16_En13
dout_8_re => dout_8_re_1, -- sfix16_En13
dout_8_im => dout_8_im_1, -- sfix16_En13
dout_2_vld => dout_2_vld,
twdl_3_7_re => twdl_3_7_re, -- sfix16_En14
twdl_3_7_im => twdl_3_7_im, -- sfix16_En14
twdl_3_8_re => twdl_3_8_re, -- sfix16_En14
twdl_3_8_im => twdl_3_8_im, -- sfix16_En14
twdl_3_8_vld => twdl_3_8_vld,
softReset => softReset,
twdlXdin_7_re => twdlXdin_7_re, -- sfix16_En13
twdlXdin_7_im => twdlXdin_7_im, -- sfix16_En13
twdlXdin_8_re => twdlXdin_8_re, -- sfix16_En13
twdlXdin_8_im => twdlXdin_8_im, -- sfix16_En13
twdlXdin_7_vld => twdlXdin_7_vld
);
u_SDNF1_3_5 : RADIX22FFT_SDNF1_3_block1
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
twdlXdin_5_re => twdlXdin_5_re, -- sfix16_En13
twdlXdin_5_im => twdlXdin_5_im, -- sfix16_En13
twdlXdin_7_re => twdlXdin_7_re, -- sfix16_En13
twdlXdin_7_im => twdlXdin_7_im, -- sfix16_En13
twdlXdin_1_vld => twdlXdin_1_vld_1,
softReset => softReset,
dout_5_re => dout_5_re_2, -- sfix16_En13
dout_5_im => dout_5_im_2, -- sfix16_En13
dout_6_re => dout_6_re_2, -- sfix16_En13
dout_6_im => dout_6_im_2, -- sfix16_En13
dout_5_vld => dout_5_vld_1
);
u_SDNF1_3_7 : RADIX22FFT_SDNF1_3_block2
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
twdlXdin_6_re => twdlXdin_6_re, -- sfix16_En13
twdlXdin_6_im => twdlXdin_6_im, -- sfix16_En13
twdlXdin_8_re => twdlXdin_8_re, -- sfix16_En13
twdlXdin_8_im => twdlXdin_8_im, -- sfix16_En13
twdlXdin_1_vld => twdlXdin_1_vld_1,
softReset => softReset,
dout_7_re => dout_7_re_2, -- sfix16_En13
dout_7_im => dout_7_im_2, -- sfix16_En13
dout_8_re => dout_8_re_2, -- sfix16_En13
dout_8_im => dout_8_im_2, -- sfix16_En13
dout_7_vld => dout_7_vld_1
);
u_SDNF2_4_5 : RADIX22FFT_SDNF2_4_block1
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
rotate_5 => rotate_5_1, -- ufix1
dout_5_re => dout_5_re_2, -- sfix16_En13
dout_5_im => dout_5_im_2, -- sfix16_En13
dout_7_re => dout_7_re_2, -- sfix16_En13
dout_7_im => dout_7_im_2, -- sfix16_En13
dout_1_vld => dout_1_vld_1,
softReset => softReset,
dout_5_re_1 => dataOut_im_tmp(4), -- sfix16_En13
dout_5_im_1 => dataOut_re_tmp(4), -- sfix16_En13
dout_6_re => dataOut_im_tmp(5), -- sfix16_En13
dout_6_im => dataOut_re_tmp(5), -- sfix16_En13
dout_4_vld => dout_4_vld_2
);
u_SDNF2_4_7 : RADIX22FFT_SDNF2_4_block2
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
rotate_7 => rotate_7_1, -- ufix1
dout_6_re => dout_6_re_2, -- sfix16_En13
dout_6_im => dout_6_im_2, -- sfix16_En13
dout_8_re => dout_8_re_2, -- sfix16_En13
dout_8_im => dout_8_im_2, -- sfix16_En13
dout_1_vld => dout_1_vld_1,
softReset => softReset,
dout_7_re => dataOut_im_tmp(6), -- sfix16_En13
dout_7_im => dataOut_re_tmp(6), -- sfix16_En13
dout_8_re_1 => dataOut_im_tmp(7), -- sfix16_En13
dout_8_im_1 => dataOut_re_tmp(7), -- sfix16_En13
dout_4_vld => dout_4_vld_3
);
u_SDNF2_2_9 : RADIX22FFT_SDNF2_2_block3
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
rotate_9 => rotate_9_1, -- ufix1
dout_2_re => dout_2_re, -- sfix16_En13
dout_2_im => dout_2_im, -- sfix16_En13
dout_10_re => dout_10_re, -- sfix16_En13
dout_10_im => dout_10_im, -- sfix16_En13
dout_1_vld => dout_1_vld,
softReset => softReset,
dout_9_re => dout_9_re_1, -- sfix16_En13
dout_9_im => dout_9_im_1, -- sfix16_En13
dout_10_re_1 => dout_10_re_1, -- sfix16_En13
dout_10_im_1 => dout_10_im_1, -- sfix16_En13
dout_2_vld => dout_2_vld_4
);
u_SDNF2_2_11 : RADIX22FFT_SDNF2_2_block4
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
rotate_11 => rotate_11, -- ufix1
dout_4_re => dout_4_re, -- sfix16_En13
dout_4_im => dout_4_im, -- sfix16_En13
dout_12_re => dout_12_re, -- sfix16_En13
dout_12_im => dout_12_im, -- sfix16_En13
dout_1_vld => dout_1_vld,
softReset => softReset,
dout_11_re => dout_11_re_1, -- sfix16_En13
dout_11_im => dout_11_im_1, -- sfix16_En13
dout_12_re_1 => dout_12_re_1, -- sfix16_En13
dout_12_im_1 => dout_12_im_1, -- sfix16_En13
dout_2_vld => dout_2_vld_5
);
u_twdlROM_3_10 : TWDLROM_3_10
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
dout_2_vld => dout_2_vld,
softReset => softReset,
twdl_3_10_re => twdl_3_10_re, -- sfix16_En14
twdl_3_10_im => twdl_3_10_im, -- sfix16_En14
twdl_3_10_vld => twdl_3_10_vld
);
u_TWDLMULT_SDNF1_3_9 : TWDLMULT_SDNF1_3_block3
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
dout_9_re => dout_9_re_1, -- sfix16_En13
dout_9_im => dout_9_im_1, -- sfix16_En13
dout_11_re => dout_11_re_1, -- sfix16_En13
dout_11_im => dout_11_im_1, -- sfix16_En13
dout_2_vld => dout_2_vld,
twdl_3_9_re => std_logic_vector(twdl_3_9_re), -- sfix16_En14
twdl_3_9_im => std_logic_vector(twdl_3_9_im), -- sfix16_En14
twdl_3_10_re => twdl_3_10_re, -- sfix16_En14
twdl_3_10_im => twdl_3_10_im, -- sfix16_En14
twdl_3_10_vld => twdl_3_10_vld,
softReset => softReset,
twdlXdin_9_re => twdlXdin_9_re, -- sfix16_En13
twdlXdin_9_im => twdlXdin_9_im, -- sfix16_En13
twdlXdin_10_re => twdlXdin_10_re, -- sfix16_En13
twdlXdin_10_im => twdlXdin_10_im, -- sfix16_En13
twdlXdin_9_vld => twdlXdin_9_vld
);
u_SDNF2_2_13 : RADIX22FFT_SDNF2_2_block5
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
rotate_13 => rotate_13, -- ufix1
dout_6_re => dout_6_re, -- sfix16_En13
dout_6_im => dout_6_im, -- sfix16_En13
dout_14_re => dout_14_re, -- sfix16_En13
dout_14_im => dout_14_im, -- sfix16_En13
dout_1_vld => dout_1_vld,
softReset => softReset,
dout_13_re => dout_13_re_1, -- sfix16_En13
dout_13_im => dout_13_im_1, -- sfix16_En13
dout_14_re_1 => dout_14_re_1, -- sfix16_En13
dout_14_im_1 => dout_14_im_1, -- sfix16_En13
dout_2_vld => dout_2_vld_6
);
u_SDNF2_2_15 : RADIX22FFT_SDNF2_2_block6
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
rotate_15 => rotate_15, -- ufix1
dout_8_re => dout_8_re, -- sfix16_En13
dout_8_im => dout_8_im, -- sfix16_En13
dout_16_re => dout_16_re, -- sfix16_En13
dout_16_im => dout_16_im, -- sfix16_En13
dout_1_vld => dout_1_vld,
softReset => softReset,
dout_15_re => dout_15_re_1, -- sfix16_En13
dout_15_im => dout_15_im_1, -- sfix16_En13
dout_16_re_1 => dout_16_re_1, -- sfix16_En13
dout_16_im_1 => dout_16_im_1, -- sfix16_En13
dout_2_vld => dout_2_vld_7
);
u_twdlROM_3_11 : TWDLROM_3_11
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
dout_2_vld => dout_2_vld,
softReset => softReset,
twdl_3_11_re => twdl_3_11_re, -- sfix16_En14
twdl_3_11_im => twdl_3_11_im, -- sfix16_En14
twdl_3_11_vld => twdl_3_11_vld
);
u_twdlROM_3_12 : TWDLROM_3_12
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
dout_2_vld => dout_2_vld,
softReset => softReset,
twdl_3_12_re => twdl_3_12_re, -- sfix16_En14
twdl_3_12_im => twdl_3_12_im, -- sfix16_En14
twdl_3_12_vld => twdl_3_12_vld
);
u_TWDLMULT_SDNF1_3_11 : TWDLMULT_SDNF1_3_block4
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
dout_13_re => dout_13_re_1, -- sfix16_En13
dout_13_im => dout_13_im_1, -- sfix16_En13
dout_15_re => dout_15_re_1, -- sfix16_En13
dout_15_im => dout_15_im_1, -- sfix16_En13
dout_2_vld => dout_2_vld,
twdl_3_11_re => twdl_3_11_re, -- sfix16_En14
twdl_3_11_im => twdl_3_11_im, -- sfix16_En14
twdl_3_12_re => twdl_3_12_re, -- sfix16_En14
twdl_3_12_im => twdl_3_12_im, -- sfix16_En14
twdl_3_12_vld => twdl_3_12_vld,
softReset => softReset,
twdlXdin_11_re => twdlXdin_11_re, -- sfix16_En13
twdlXdin_11_im => twdlXdin_11_im, -- sfix16_En13
twdlXdin_12_re => twdlXdin_12_re, -- sfix16_En13
twdlXdin_12_im => twdlXdin_12_im, -- sfix16_En13
twdlXdin_11_vld => twdlXdin_11_vld
);
u_SDNF1_3_9 : RADIX22FFT_SDNF1_3_block3
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
twdlXdin_9_re => twdlXdin_9_re, -- sfix16_En13
twdlXdin_9_im => twdlXdin_9_im, -- sfix16_En13
twdlXdin_11_re => twdlXdin_11_re, -- sfix16_En13
twdlXdin_11_im => twdlXdin_11_im, -- sfix16_En13
twdlXdin_1_vld => twdlXdin_1_vld_1,
softReset => softReset,
dout_9_re => dout_9_re_2, -- sfix16_En13
dout_9_im => dout_9_im_2, -- sfix16_En13
dout_10_re => dout_10_re_2, -- sfix16_En13
dout_10_im => dout_10_im_2, -- sfix16_En13
dout_9_vld => dout_9_vld_1
);
u_SDNF1_3_11 : RADIX22FFT_SDNF1_3_block4
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
twdlXdin_10_re => twdlXdin_10_re, -- sfix16_En13
twdlXdin_10_im => twdlXdin_10_im, -- sfix16_En13
twdlXdin_12_re => twdlXdin_12_re, -- sfix16_En13
twdlXdin_12_im => twdlXdin_12_im, -- sfix16_En13
twdlXdin_1_vld => twdlXdin_1_vld_1,
softReset => softReset,
dout_11_re => dout_11_re_2, -- sfix16_En13
dout_11_im => dout_11_im_2, -- sfix16_En13
dout_12_re => dout_12_re_2, -- sfix16_En13
dout_12_im => dout_12_im_2, -- sfix16_En13
dout_11_vld => dout_11_vld_1
);
u_SDNF2_4_9 : RADIX22FFT_SDNF2_4_block3
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
rotate_9 => rotate_9, -- ufix1
dout_9_re => dout_9_re_2, -- sfix16_En13
dout_9_im => dout_9_im_2, -- sfix16_En13
dout_11_re => dout_11_re_2, -- sfix16_En13
dout_11_im => dout_11_im_2, -- sfix16_En13
dout_1_vld => dout_1_vld_1,
softReset => softReset,
dout_9_re_1 => dataOut_im_tmp(8), -- sfix16_En13
dout_9_im_1 => dataOut_re_tmp(8), -- sfix16_En13
dout_10_re => dataOut_im_tmp(9), -- sfix16_En13
dout_10_im => dataOut_re_tmp(9), -- sfix16_En13
dout_4_vld => dout_4_vld_4
);
u_SDNF2_4_11 : RADIX22FFT_SDNF2_4_block4
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
rotate_11 => rotate_11_1, -- ufix1
dout_10_re => dout_10_re_2, -- sfix16_En13
dout_10_im => dout_10_im_2, -- sfix16_En13
dout_12_re => dout_12_re_2, -- sfix16_En13
dout_12_im => dout_12_im_2, -- sfix16_En13
dout_1_vld => dout_1_vld_1,
softReset => softReset,
dout_11_re => dataOut_im_tmp(10), -- sfix16_En13
dout_11_im => dataOut_re_tmp(10), -- sfix16_En13
dout_12_re_1 => dataOut_im_tmp(11), -- sfix16_En13
dout_12_im_1 => dataOut_re_tmp(11), -- sfix16_En13
dout_4_vld => dout_4_vld_5
);
u_twdlROM_3_14 : TWDLROM_3_14
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
dout_2_vld => dout_2_vld,
softReset => softReset,
twdl_3_14_re => twdl_3_14_re, -- sfix16_En14
twdl_3_14_im => twdl_3_14_im, -- sfix16_En14
twdl_3_14_vld => twdl_3_14_vld
);
u_TWDLMULT_SDNF1_3_13 : TWDLMULT_SDNF1_3_block5
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
dout_10_re => dout_10_re_1, -- sfix16_En13
dout_10_im => dout_10_im_1, -- sfix16_En13
dout_12_re => dout_12_re_1, -- sfix16_En13
dout_12_im => dout_12_im_1, -- sfix16_En13
dout_2_vld => dout_2_vld,
twdl_3_13_re => std_logic_vector(twdl_3_13_re), -- sfix16_En14
twdl_3_13_im => std_logic_vector(twdl_3_13_im), -- sfix16_En14
twdl_3_14_re => twdl_3_14_re, -- sfix16_En14
twdl_3_14_im => twdl_3_14_im, -- sfix16_En14
twdl_3_14_vld => twdl_3_14_vld,
softReset => softReset,
twdlXdin_13_re => twdlXdin_13_re, -- sfix16_En13
twdlXdin_13_im => twdlXdin_13_im, -- sfix16_En13
twdlXdin_14_re => twdlXdin_14_re, -- sfix16_En13
twdlXdin_14_im => twdlXdin_14_im, -- sfix16_En13
twdlXdin_13_vld => twdlXdin_13_vld
);
u_twdlROM_3_15 : TWDLROM_3_15
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
dout_2_vld => dout_2_vld,
softReset => softReset,
twdl_3_15_re => twdl_3_15_re, -- sfix16_En14
twdl_3_15_im => twdl_3_15_im, -- sfix16_En14
twdl_3_15_vld => twdl_3_15_vld
);
u_twdlROM_3_16 : TWDLROM_3_16
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
dout_2_vld => dout_2_vld,
softReset => softReset,
twdl_3_16_re => twdl_3_16_re, -- sfix16_En14
twdl_3_16_im => twdl_3_16_im, -- sfix16_En14
twdl_3_16_vld => twdl_3_16_vld
);
u_TWDLMULT_SDNF1_3_15 : TWDLMULT_SDNF1_3_block6
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
dout_14_re => dout_14_re_1, -- sfix16_En13
dout_14_im => dout_14_im_1, -- sfix16_En13
dout_16_re => dout_16_re_1, -- sfix16_En13
dout_16_im => dout_16_im_1, -- sfix16_En13
dout_2_vld => dout_2_vld,
twdl_3_15_re => twdl_3_15_re, -- sfix16_En14
twdl_3_15_im => twdl_3_15_im, -- sfix16_En14
twdl_3_16_re => twdl_3_16_re, -- sfix16_En14
twdl_3_16_im => twdl_3_16_im, -- sfix16_En14
twdl_3_16_vld => twdl_3_16_vld,
softReset => softReset,
twdlXdin_15_re => twdlXdin_15_re, -- sfix16_En13
twdlXdin_15_im => twdlXdin_15_im, -- sfix16_En13
twdlXdin_16_re => twdlXdin_16_re, -- sfix16_En13
twdlXdin_16_im => twdlXdin_16_im, -- sfix16_En13
twdlXdin_15_vld => twdlXdin_15_vld
);
u_SDNF1_3_13 : RADIX22FFT_SDNF1_3_block5
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
twdlXdin_13_re => twdlXdin_13_re, -- sfix16_En13
twdlXdin_13_im => twdlXdin_13_im, -- sfix16_En13
twdlXdin_15_re => twdlXdin_15_re, -- sfix16_En13
twdlXdin_15_im => twdlXdin_15_im, -- sfix16_En13
twdlXdin_1_vld => twdlXdin_1_vld_1,
softReset => softReset,
dout_13_re => dout_13_re_2, -- sfix16_En13
dout_13_im => dout_13_im_2, -- sfix16_En13
dout_14_re => dout_14_re_2, -- sfix16_En13
dout_14_im => dout_14_im_2, -- sfix16_En13
dout_13_vld => dout_13_vld_1
);
u_SDNF1_3_15 : RADIX22FFT_SDNF1_3_block6
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
twdlXdin_14_re => twdlXdin_14_re, -- sfix16_En13
twdlXdin_14_im => twdlXdin_14_im, -- sfix16_En13
twdlXdin_16_re => twdlXdin_16_re, -- sfix16_En13
twdlXdin_16_im => twdlXdin_16_im, -- sfix16_En13
twdlXdin_1_vld => twdlXdin_1_vld_1,
softReset => softReset,
dout_15_re => dout_15_re_2, -- sfix16_En13
dout_15_im => dout_15_im_2, -- sfix16_En13
dout_16_re => dout_16_re_2, -- sfix16_En13
dout_16_im => dout_16_im_2, -- sfix16_En13
dout_15_vld => dout_15_vld_1
);
u_SDNF2_4_13 : RADIX22FFT_SDNF2_4_block5
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
rotate_13 => rotate_13_1, -- ufix1
dout_13_re => dout_13_re_2, -- sfix16_En13
dout_13_im => dout_13_im_2, -- sfix16_En13
dout_15_re => dout_15_re_2, -- sfix16_En13
dout_15_im => dout_15_im_2, -- sfix16_En13
dout_1_vld => dout_1_vld_1,
softReset => softReset,
dout_13_re_1 => dataOut_im_tmp(12), -- sfix16_En13
dout_13_im_1 => dataOut_re_tmp(12), -- sfix16_En13
dout_14_re => dataOut_im_tmp(13), -- sfix16_En13
dout_14_im => dataOut_re_tmp(13), -- sfix16_En13
dout_4_vld => dout_4_vld_6
);
u_SDNF2_4_15 : RADIX22FFT_SDNF2_4_block6
PORT MAP( clk => clk,
reset => reset,
enb_1_16_0 => enb_1_16_0,
rotate_15 => rotate_15_1, -- ufix1
dout_14_re => dout_14_re_2, -- sfix16_En13
dout_14_im => dout_14_im_2, -- sfix16_En13
dout_16_re => dout_16_re_2, -- sfix16_En13
dout_16_im => dout_16_im_2, -- sfix16_En13
dout_1_vld => dout_1_vld_1,
softReset => softReset,
dout_15_re => dataOut_im_tmp(14), -- sfix16_En13
dout_15_im => dataOut_re_tmp(14), -- sfix16_En13
dout_16_re_1 => dataOut_im_tmp(15), -- sfix16_En13
dout_16_im_1 => dataOut_re_tmp(15), -- sfix16_En13
dout_4_vld => dout_4_vld_7
);
rotate_1 <= '0';
rotate_1_1 <= '0';
twdlXdin_1_vld <= '1' WHEN validIn /= '0' ELSE
'0';
softReset <= '0';
rotate_3 <= '0';
twdl_3_1_re <= to_signed(16#4000#, 16);
twdl_3_1_im <= to_signed(16#0000#, 16);
rotate_5 <= '0';
rotate_7 <= '0';
rotate_3_1 <= '1';
rotate_5_1 <= '0';
twdl_3_5_re <= to_signed(16#4000#, 16);
twdl_3_5_im <= to_signed(16#0000#, 16);
rotate_7_1 <= '1';
rotate_9 <= '0';
rotate_9_1 <= '1';
rotate_11 <= '1';
twdl_3_9_re <= to_signed(16#4000#, 16);
twdl_3_9_im <= to_signed(16#0000#, 16);
rotate_13 <= '1';
rotate_15 <= '1';
rotate_11_1 <= '1';
rotate_13_1 <= '0';
twdl_3_13_re <= to_signed(16#4000#, 16);
twdl_3_13_im <= to_signed(16#0000#, 16);
rotate_15_1 <= '1';
dataOut_re <= dataOut_re_tmp;
dataOut_im <= dataOut_im_tmp;
validOut <= dout_4_vld;
END rtl;
|
library IEEE;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
library work;
use work.bus_pkg.all;
use work.depp_pkg.all;
entity depp_slave_controller is
port (
clk : in std_logic;
rst : in std_logic;
-- Bus connection
slv2mst : in bus_slv2mst_type;
mst2slv : out bus_mst2slv_type;
-- Physical USB/DEPP connection
USB_DB : inout STD_LOGIC_VECTOR(7 DOWNTO 0);
USB_WRITE : in STD_LOGIC;
USB_ASTB : in STD_LOGIC;
USB_DSTB : in STD_LOGIC;
USB_WAIT : out STD_LOGIC
);
end depp_slave_controller;
architecture behaviourial of depp_slave_controller is
signal usb_astb_delayed : std_logic;
signal usb_dstb_delayed : std_logic;
signal mst2slv_out : bus_mst2slv_type := BUS_MST2SLV_IDLE;
begin
sequential : process(clk)
variable wait_dstb_finish : boolean := false;
variable address : natural range 0 to 2**8 - 1;
variable address_tmp : natural range 0 to 2**8 - 1;
variable read_latch : depp_data_type := (others => '0');
variable bus_active : boolean := false;
variable reread : boolean := false;
variable write_mask_reg : std_logic_vector(depp2bus_write_mask_length_ceil*8 - 1 downto 0) := (others => '0');
variable slv2mst_cpy : bus_slv2mst_type := BUS_SLV2MST_IDLE;
variable depp_mode : depp_data_type := (others => '0');
variable next_bus_address : bus_address_type := (others => '0');
begin
if rising_edge(clk) then
-- We are crossing clock domains. Therefore, if either of these is high, other signals might still be settling.
-- Therefore, delay these by one cycle so that by the time interpretation starts, everything has settled.
usb_astb_delayed <= USB_ASTB;
usb_dstb_delayed <= USB_DSTB;
USB_WAIT <= '0';
USB_DB <= (others => 'Z');
if rst = '1' then
USB_WAIT <= '1';
wait_dstb_finish := false;
mst2slv_out <= BUS_MST2SLV_IDLE;
slv2mst_cpy := BUS_SLV2MST_IDLE;
write_mask_reg := (others => '0');
bus_active := false;
address := 0;
else
if bus_active then
if bus_slave_finished(slv2mst) = '1' then
bus_active := false;
mst2slv_out.writeEnable <= '0';
mst2slv_out.readEnable <= '0';
mst2slv_out.address <= next_bus_address;
wait_dstb_finish := true;
slv2mst_cpy := slv2mst;
if reread then
read_latch := slv2mst_cpy.readData(7 downto 0);
reread := false;
end if;
end if;
elsif usb_astb_delayed = '0' then
USB_WAIT <= '1';
if USB_WRITE = '0' then
address := to_integer(unsigned(USB_DB));
elsif USB_WRITE = '1' then
USB_DB <= std_logic_vector(to_unsigned(address, usb_db'length));
end if;
elsif usb_dstb_delayed = '0' and wait_dstb_finish = false then
wait_dstb_finish := true;
if USB_WRITE = '0' then
if address >= depp2bus_addr_reg_start and address <= depp2bus_addr_reg_end then
address_tmp := address - depp2bus_addr_reg_start;
mst2slv_out.address(8*(address_tmp + 1) - 1 downto 8*address_tmp) <= usb_db;
elsif address >= depp2bus_writeData_reg_start and address <= depp2bus_writeData_reg_end then
address_tmp := address - depp2bus_writeData_reg_start;
mst2slv_out.writeData(8*(address_tmp + 1) - 1 downto 8*address_tmp) <= usb_db;
if depp_mode_fast_write_active(depp_mode) then
address := address + 1;
if address > depp2bus_writeData_reg_end then
next_bus_address := std_logic_vector(to_unsigned(
to_integer(unsigned(mst2slv_out.address)) + depp2bus_addr_reg_len,
next_bus_address'length));
address := depp2bus_writeData_reg_start;
mst2slv_out.writeEnable <= '1';
bus_active := true;
wait_dstb_finish := false;
end if;
end if;
elsif address >= depp2bus_write_mask_reg_start and address <= depp2bus_write_mask_reg_end then
address_tmp := address - depp2bus_write_mask_reg_start;
write_mask_reg(8*(address_tmp + 1) - 1 downto 8*address_tmp) := usb_db;
mst2slv_out.writeMask <= write_mask_reg(mst2slv_out.writeMask'range);
elsif address >= depp2bus_mode_register_start and address <= depp2bus_mode_register_end then
depp_mode := usb_db;
elsif address >= depp2bus_activation_register_start and address <= depp2bus_activation_register_end then
next_bus_address := mst2slv_out.address;
mst2slv_out.writeEnable <= '1';
for i in 0 to usb_db'high loop
if usb_db(i) = '1' then
mst2slv_out.writeEnable <= '0';
mst2slv_out.readEnable <= '1';
end if;
end loop;
bus_active := true;
wait_dstb_finish := false;
end if;
elsif USB_WRITE = '1' then
read_latch := (others => '0');
if address >= depp2bus_addr_reg_start and address <= depp2bus_addr_reg_end then
address_tmp := address - depp2bus_addr_reg_start;
read_latch := mst2slv_out.address(8*address_tmp + 7 downto 8*address_tmp);
elsif address >= depp2bus_writeData_reg_start and address <= depp2bus_writeData_reg_end then
address_tmp := address - depp2bus_writeData_reg_start;
read_latch := mst2slv_out.writeData(8*address_tmp + 7 downto 8*address_tmp);
elsif address >= depp2bus_readData_reg_start and address <= depp2bus_readData_reg_end then
address_tmp := address - depp2bus_readData_reg_start;
if depp_mode_fast_read_active(depp_mode) then
if address = depp2bus_readData_reg_start then
next_bus_address := std_logic_vector(to_unsigned(
to_integer(unsigned(mst2slv_out.address)) + depp2bus_addr_reg_len,
next_bus_address'length));
mst2slv_out.readEnable <= '1';
bus_active := true;
wait_dstb_finish := false;
reread := true;
end if;
address := address + 1;
if address > depp2bus_readData_reg_end then
address := depp2bus_readData_reg_start;
end if;
end if;
read_latch := slv2mst_cpy.readData(8*address_tmp + 7 downto 8*address_tmp);
elsif address >= depp2bus_write_mask_reg_start and address <= depp2bus_write_mask_reg_end then
address_tmp := address - depp2bus_write_mask_reg_start;
read_latch := write_mask_reg(8*(address_tmp + 1) - 1 downto 8*address_tmp);
elsif address >= depp2bus_mode_register_start and address <= depp2bus_mode_register_end then
read_latch := depp_mode;
elsif address >= depp2bus_fault_register_start and address <= depp2bus_fault_register_end then
read_latch := (others => '0');
read_latch(0) := slv2mst_cpy.fault;
end if;
end if;
end if;
if usb_dstb_delayed = '0' and usb_write = '1' then
usb_db <= read_latch;
end if;
if wait_dstb_finish then
if usb_dstb_delayed = '1' then
wait_dstb_finish := false;
else
USB_WAIT <= '1';
end if;
end if;
end if;
end if;
end process;
concurrent : process(mst2slv_out)
begin
mst2slv <= mst2slv_out;
end process;
end behaviourial;
|
architecture RTL of ENTITY_NAME is
begin
process
begin
LABEL : assert TRUE
report "This is a string"
severity WARNING;
assert TRUE
report "This is a string"
severity WARNING;
LABEL : assert TRUE
report "This is a string";
LABEL : assert TRUE
severity WARNING;
LABEL : assert TRUE;
end process;
end architecture;
|
library verilog;
use verilog.vl_types.all;
entity cpu is
port(
clk : in vl_logic;
reset : in vl_logic;
e1 : in vl_logic_vector(7 downto 0);
e2 : in vl_logic_vector(7 downto 0);
e3 : in vl_logic_vector(7 downto 0);
e4 : in vl_logic_vector(7 downto 0);
s1 : out vl_logic_vector(7 downto 0);
s2 : out vl_logic_vector(7 downto 0);
s3 : out vl_logic_vector(7 downto 0);
s4 : out vl_logic_vector(7 downto 0);
opcode : out vl_logic_vector(5 downto 0);
operacion : out vl_logic_vector(2 downto 0);
z : out vl_logic
);
end cpu;
|
-- megafunction wizard: %ALTPLL%
-- GENERATION: STANDARD
-- VERSION: WM1.0
-- MODULE: altpll
-- ============================================================
-- File Name: altpll0.vhd
-- Megafunction Name(s):
-- altpll
--
-- Simulation Library Files(s):
-- altera_mf
-- ============================================================
-- ************************************************************
-- THIS IS A WIZARD-GENERATED FILE. DO NOT EDIT THIS FILE!
--
-- 11.0 Build 208 07/03/2011 SP 1 SJ Web Edition
-- ************************************************************
--Copyright (C) 1991-2011 Altera Corporation
--Your use of Altera Corporation's design tools, logic functions
--and other software and tools, and its AMPP partner logic
--functions, and any output files from any of the foregoing
--(including device programming or simulation files), and any
--associated documentation or information are expressly subject
--to the terms and conditions of the Altera Program License
--Subscription Agreement, Altera MegaCore Function License
--Agreement, or other applicable license agreement, including,
--without limitation, that your use is for the sole purpose of
--programming logic devices manufactured by Altera and sold by
--Altera or its authorized distributors. Please refer to the
--applicable agreement for further details.
LIBRARY ieee;
USE ieee.std_logic_1164.all;
LIBRARY altera_mf;
USE altera_mf.all;
ENTITY altpll0 IS
PORT
(
inclk0 : IN STD_LOGIC := '0';
c0 : OUT STD_LOGIC ;
c1 : OUT STD_LOGIC ;
locked : OUT STD_LOGIC
);
END altpll0;
ARCHITECTURE SYN OF altpll0 IS
SIGNAL sub_wire0 : STD_LOGIC_VECTOR (4 DOWNTO 0);
SIGNAL sub_wire1 : STD_LOGIC ;
SIGNAL sub_wire2 : STD_LOGIC ;
SIGNAL sub_wire3 : STD_LOGIC ;
SIGNAL sub_wire4 : STD_LOGIC ;
SIGNAL sub_wire5 : STD_LOGIC_VECTOR (1 DOWNTO 0);
SIGNAL sub_wire6_bv : BIT_VECTOR (0 DOWNTO 0);
SIGNAL sub_wire6 : STD_LOGIC_VECTOR (0 DOWNTO 0);
COMPONENT altpll
GENERIC (
bandwidth_type : STRING;
clk0_divide_by : NATURAL;
clk0_duty_cycle : NATURAL;
clk0_multiply_by : NATURAL;
clk0_phase_shift : STRING;
clk1_divide_by : NATURAL;
clk1_duty_cycle : NATURAL;
clk1_multiply_by : NATURAL;
clk1_phase_shift : STRING;
compensate_clock : STRING;
inclk0_input_frequency : NATURAL;
intended_device_family : STRING;
lpm_hint : STRING;
lpm_type : STRING;
operation_mode : STRING;
pll_type : STRING;
port_activeclock : STRING;
port_areset : STRING;
port_clkbad0 : STRING;
port_clkbad1 : STRING;
port_clkloss : STRING;
port_clkswitch : STRING;
port_configupdate : STRING;
port_fbin : STRING;
port_inclk0 : STRING;
port_inclk1 : STRING;
port_locked : STRING;
port_pfdena : STRING;
port_phasecounterselect : STRING;
port_phasedone : STRING;
port_phasestep : STRING;
port_phaseupdown : STRING;
port_pllena : STRING;
port_scanaclr : STRING;
port_scanclk : STRING;
port_scanclkena : STRING;
port_scandata : STRING;
port_scandataout : STRING;
port_scandone : STRING;
port_scanread : STRING;
port_scanwrite : STRING;
port_clk0 : STRING;
port_clk1 : STRING;
port_clk2 : STRING;
port_clk3 : STRING;
port_clk4 : STRING;
port_clk5 : STRING;
port_clkena0 : STRING;
port_clkena1 : STRING;
port_clkena2 : STRING;
port_clkena3 : STRING;
port_clkena4 : STRING;
port_clkena5 : STRING;
port_extclk0 : STRING;
port_extclk1 : STRING;
port_extclk2 : STRING;
port_extclk3 : STRING;
self_reset_on_loss_lock : STRING;
width_clock : NATURAL
);
PORT (
clk : OUT STD_LOGIC_VECTOR (4 DOWNTO 0);
inclk : IN STD_LOGIC_VECTOR (1 DOWNTO 0);
locked : OUT STD_LOGIC
);
END COMPONENT;
BEGIN
sub_wire6_bv(0 DOWNTO 0) <= "0";
sub_wire6 <= To_stdlogicvector(sub_wire6_bv);
sub_wire3 <= sub_wire0(0);
sub_wire1 <= sub_wire0(1);
c1 <= sub_wire1;
locked <= sub_wire2;
c0 <= sub_wire3;
sub_wire4 <= inclk0;
sub_wire5 <= sub_wire6(0 DOWNTO 0) & sub_wire4;
altpll_component : altpll
GENERIC MAP (
bandwidth_type => "AUTO",
clk0_divide_by => 1,
clk0_duty_cycle => 50,
clk0_multiply_by => 1,
clk0_phase_shift => "0",
clk1_divide_by => 1,
clk1_duty_cycle => 50,
clk1_multiply_by => 2,
clk1_phase_shift => "0",
compensate_clock => "CLK0",
inclk0_input_frequency => 20000,
intended_device_family => "Cyclone III",
lpm_hint => "CBX_MODULE_PREFIX=altpll0",
lpm_type => "altpll",
operation_mode => "NORMAL",
pll_type => "AUTO",
port_activeclock => "PORT_UNUSED",
port_areset => "PORT_UNUSED",
port_clkbad0 => "PORT_UNUSED",
port_clkbad1 => "PORT_UNUSED",
port_clkloss => "PORT_UNUSED",
port_clkswitch => "PORT_UNUSED",
port_configupdate => "PORT_UNUSED",
port_fbin => "PORT_UNUSED",
port_inclk0 => "PORT_USED",
port_inclk1 => "PORT_UNUSED",
port_locked => "PORT_USED",
port_pfdena => "PORT_UNUSED",
port_phasecounterselect => "PORT_UNUSED",
port_phasedone => "PORT_UNUSED",
port_phasestep => "PORT_UNUSED",
port_phaseupdown => "PORT_UNUSED",
port_pllena => "PORT_UNUSED",
port_scanaclr => "PORT_UNUSED",
port_scanclk => "PORT_UNUSED",
port_scanclkena => "PORT_UNUSED",
port_scandata => "PORT_UNUSED",
port_scandataout => "PORT_UNUSED",
port_scandone => "PORT_UNUSED",
port_scanread => "PORT_UNUSED",
port_scanwrite => "PORT_UNUSED",
port_clk0 => "PORT_USED",
port_clk1 => "PORT_USED",
port_clk2 => "PORT_UNUSED",
port_clk3 => "PORT_UNUSED",
port_clk4 => "PORT_UNUSED",
port_clk5 => "PORT_UNUSED",
port_clkena0 => "PORT_UNUSED",
port_clkena1 => "PORT_UNUSED",
port_clkena2 => "PORT_UNUSED",
port_clkena3 => "PORT_UNUSED",
port_clkena4 => "PORT_UNUSED",
port_clkena5 => "PORT_UNUSED",
port_extclk0 => "PORT_UNUSED",
port_extclk1 => "PORT_UNUSED",
port_extclk2 => "PORT_UNUSED",
port_extclk3 => "PORT_UNUSED",
self_reset_on_loss_lock => "OFF",
width_clock => 5
)
PORT MAP (
inclk => sub_wire5,
clk => sub_wire0,
locked => sub_wire2
);
END SYN;
-- ============================================================
-- CNX file retrieval info
-- ============================================================
-- Retrieval info: PRIVATE: ACTIVECLK_CHECK STRING "0"
-- Retrieval info: PRIVATE: BANDWIDTH STRING "1.000"
-- Retrieval info: PRIVATE: BANDWIDTH_FEATURE_ENABLED STRING "1"
-- Retrieval info: PRIVATE: BANDWIDTH_FREQ_UNIT STRING "MHz"
-- Retrieval info: PRIVATE: BANDWIDTH_PRESET STRING "Low"
-- Retrieval info: PRIVATE: BANDWIDTH_USE_AUTO STRING "1"
-- Retrieval info: PRIVATE: BANDWIDTH_USE_PRESET STRING "0"
-- Retrieval info: PRIVATE: CLKBAD_SWITCHOVER_CHECK STRING "0"
-- Retrieval info: PRIVATE: CLKLOSS_CHECK STRING "0"
-- Retrieval info: PRIVATE: CLKSWITCH_CHECK STRING "0"
-- Retrieval info: PRIVATE: CNX_NO_COMPENSATE_RADIO STRING "0"
-- Retrieval info: PRIVATE: CREATE_CLKBAD_CHECK STRING "0"
-- Retrieval info: PRIVATE: CREATE_INCLK1_CHECK STRING "0"
-- Retrieval info: PRIVATE: CUR_DEDICATED_CLK STRING "c0"
-- Retrieval info: PRIVATE: CUR_FBIN_CLK STRING "c0"
-- Retrieval info: PRIVATE: DEVICE_SPEED_GRADE STRING "Any"
-- Retrieval info: PRIVATE: DIV_FACTOR0 NUMERIC "1"
-- Retrieval info: PRIVATE: DIV_FACTOR1 NUMERIC "1"
-- Retrieval info: PRIVATE: DUTY_CYCLE0 STRING "50.00000000"
-- Retrieval info: PRIVATE: DUTY_CYCLE1 STRING "50.00000000"
-- Retrieval info: PRIVATE: EFF_OUTPUT_FREQ_VALUE0 STRING "50.000000"
-- Retrieval info: PRIVATE: EFF_OUTPUT_FREQ_VALUE1 STRING "100.000000"
-- Retrieval info: PRIVATE: EXPLICIT_SWITCHOVER_COUNTER STRING "0"
-- Retrieval info: PRIVATE: EXT_FEEDBACK_RADIO STRING "0"
-- Retrieval info: PRIVATE: GLOCKED_COUNTER_EDIT_CHANGED STRING "1"
-- Retrieval info: PRIVATE: GLOCKED_FEATURE_ENABLED STRING "0"
-- Retrieval info: PRIVATE: GLOCKED_MODE_CHECK STRING "0"
-- Retrieval info: PRIVATE: GLOCK_COUNTER_EDIT NUMERIC "1048575"
-- Retrieval info: PRIVATE: HAS_MANUAL_SWITCHOVER STRING "1"
-- Retrieval info: PRIVATE: INCLK0_FREQ_EDIT STRING "50.000"
-- Retrieval info: PRIVATE: INCLK0_FREQ_UNIT_COMBO STRING "MHz"
-- Retrieval info: PRIVATE: INCLK1_FREQ_EDIT STRING "100.000"
-- Retrieval info: PRIVATE: INCLK1_FREQ_EDIT_CHANGED STRING "1"
-- Retrieval info: PRIVATE: INCLK1_FREQ_UNIT_CHANGED STRING "1"
-- Retrieval info: PRIVATE: INCLK1_FREQ_UNIT_COMBO STRING "MHz"
-- Retrieval info: PRIVATE: INTENDED_DEVICE_FAMILY STRING "Cyclone III"
-- Retrieval info: PRIVATE: INT_FEEDBACK__MODE_RADIO STRING "1"
-- Retrieval info: PRIVATE: LOCKED_OUTPUT_CHECK STRING "1"
-- Retrieval info: PRIVATE: LONG_SCAN_RADIO STRING "1"
-- Retrieval info: PRIVATE: LVDS_MODE_DATA_RATE STRING "Not Available"
-- Retrieval info: PRIVATE: LVDS_MODE_DATA_RATE_DIRTY NUMERIC "0"
-- Retrieval info: PRIVATE: LVDS_PHASE_SHIFT_UNIT0 STRING "deg"
-- Retrieval info: PRIVATE: LVDS_PHASE_SHIFT_UNIT1 STRING "deg"
-- Retrieval info: PRIVATE: MIG_DEVICE_SPEED_GRADE STRING "Any"
-- Retrieval info: PRIVATE: MIRROR_CLK0 STRING "0"
-- Retrieval info: PRIVATE: MIRROR_CLK1 STRING "0"
-- Retrieval info: PRIVATE: MULT_FACTOR0 NUMERIC "1"
-- Retrieval info: PRIVATE: MULT_FACTOR1 NUMERIC "1"
-- Retrieval info: PRIVATE: NORMAL_MODE_RADIO STRING "1"
-- Retrieval info: PRIVATE: OUTPUT_FREQ0 STRING "50.00000000"
-- Retrieval info: PRIVATE: OUTPUT_FREQ1 STRING "100.00000000"
-- Retrieval info: PRIVATE: OUTPUT_FREQ_MODE0 STRING "1"
-- Retrieval info: PRIVATE: OUTPUT_FREQ_MODE1 STRING "1"
-- Retrieval info: PRIVATE: OUTPUT_FREQ_UNIT0 STRING "MHz"
-- Retrieval info: PRIVATE: OUTPUT_FREQ_UNIT1 STRING "MHz"
-- Retrieval info: PRIVATE: PHASE_RECONFIG_FEATURE_ENABLED STRING "1"
-- Retrieval info: PRIVATE: PHASE_RECONFIG_INPUTS_CHECK STRING "0"
-- Retrieval info: PRIVATE: PHASE_SHIFT0 STRING "0.00000000"
-- Retrieval info: PRIVATE: PHASE_SHIFT1 STRING "0.00000000"
-- Retrieval info: PRIVATE: PHASE_SHIFT_STEP_ENABLED_CHECK STRING "0"
-- Retrieval info: PRIVATE: PHASE_SHIFT_UNIT0 STRING "deg"
-- Retrieval info: PRIVATE: PHASE_SHIFT_UNIT1 STRING "deg"
-- Retrieval info: PRIVATE: PLL_ADVANCED_PARAM_CHECK STRING "0"
-- Retrieval info: PRIVATE: PLL_ARESET_CHECK STRING "0"
-- Retrieval info: PRIVATE: PLL_AUTOPLL_CHECK NUMERIC "1"
-- Retrieval info: PRIVATE: PLL_ENHPLL_CHECK NUMERIC "0"
-- Retrieval info: PRIVATE: PLL_FASTPLL_CHECK NUMERIC "0"
-- Retrieval info: PRIVATE: PLL_FBMIMIC_CHECK STRING "0"
-- Retrieval info: PRIVATE: PLL_LVDS_PLL_CHECK NUMERIC "0"
-- Retrieval info: PRIVATE: PLL_PFDENA_CHECK STRING "0"
-- Retrieval info: PRIVATE: PLL_TARGET_HARCOPY_CHECK NUMERIC "0"
-- Retrieval info: PRIVATE: PRIMARY_CLK_COMBO STRING "inclk0"
-- Retrieval info: PRIVATE: RECONFIG_FILE STRING "altpll0.mif"
-- Retrieval info: PRIVATE: SACN_INPUTS_CHECK STRING "0"
-- Retrieval info: PRIVATE: SCAN_FEATURE_ENABLED STRING "1"
-- Retrieval info: PRIVATE: SELF_RESET_LOCK_LOSS STRING "0"
-- Retrieval info: PRIVATE: SHORT_SCAN_RADIO STRING "0"
-- Retrieval info: PRIVATE: SPREAD_FEATURE_ENABLED STRING "0"
-- Retrieval info: PRIVATE: SPREAD_FREQ STRING "50.000"
-- Retrieval info: PRIVATE: SPREAD_FREQ_UNIT STRING "KHz"
-- Retrieval info: PRIVATE: SPREAD_PERCENT STRING "0.500"
-- Retrieval info: PRIVATE: SPREAD_USE STRING "0"
-- Retrieval info: PRIVATE: SRC_SYNCH_COMP_RADIO STRING "0"
-- Retrieval info: PRIVATE: STICKY_CLK0 STRING "1"
-- Retrieval info: PRIVATE: STICKY_CLK1 STRING "1"
-- Retrieval info: PRIVATE: SWITCHOVER_COUNT_EDIT NUMERIC "1"
-- Retrieval info: PRIVATE: SWITCHOVER_FEATURE_ENABLED STRING "1"
-- Retrieval info: PRIVATE: SYNTH_WRAPPER_GEN_POSTFIX STRING "0"
-- Retrieval info: PRIVATE: USE_CLK0 STRING "1"
-- Retrieval info: PRIVATE: USE_CLK1 STRING "1"
-- Retrieval info: PRIVATE: USE_CLKENA0 STRING "0"
-- Retrieval info: PRIVATE: USE_CLKENA1 STRING "0"
-- Retrieval info: PRIVATE: USE_MIL_SPEED_GRADE NUMERIC "0"
-- Retrieval info: PRIVATE: ZERO_DELAY_RADIO STRING "0"
-- Retrieval info: LIBRARY: altera_mf altera_mf.altera_mf_components.all
-- Retrieval info: CONSTANT: BANDWIDTH_TYPE STRING "AUTO"
-- Retrieval info: CONSTANT: CLK0_DIVIDE_BY NUMERIC "1"
-- Retrieval info: CONSTANT: CLK0_DUTY_CYCLE NUMERIC "50"
-- Retrieval info: CONSTANT: CLK0_MULTIPLY_BY NUMERIC "1"
-- Retrieval info: CONSTANT: CLK0_PHASE_SHIFT STRING "0"
-- Retrieval info: CONSTANT: CLK1_DIVIDE_BY NUMERIC "1"
-- Retrieval info: CONSTANT: CLK1_DUTY_CYCLE NUMERIC "50"
-- Retrieval info: CONSTANT: CLK1_MULTIPLY_BY NUMERIC "2"
-- Retrieval info: CONSTANT: CLK1_PHASE_SHIFT STRING "0"
-- Retrieval info: CONSTANT: COMPENSATE_CLOCK STRING "CLK0"
-- Retrieval info: CONSTANT: INCLK0_INPUT_FREQUENCY NUMERIC "20000"
-- Retrieval info: CONSTANT: INTENDED_DEVICE_FAMILY STRING "Cyclone III"
-- Retrieval info: CONSTANT: LPM_TYPE STRING "altpll"
-- Retrieval info: CONSTANT: OPERATION_MODE STRING "NORMAL"
-- Retrieval info: CONSTANT: PLL_TYPE STRING "AUTO"
-- Retrieval info: CONSTANT: PORT_ACTIVECLOCK STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_ARESET STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CLKBAD0 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CLKBAD1 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CLKLOSS STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CLKSWITCH STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CONFIGUPDATE STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_FBIN STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_INCLK0 STRING "PORT_USED"
-- Retrieval info: CONSTANT: PORT_INCLK1 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_LOCKED STRING "PORT_USED"
-- Retrieval info: CONSTANT: PORT_PFDENA STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PHASECOUNTERSELECT STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PHASEDONE STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PHASESTEP STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PHASEUPDOWN STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PLLENA STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANACLR STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANCLK STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANCLKENA STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANDATA STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANDATAOUT STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANDONE STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANREAD STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANWRITE STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clk0 STRING "PORT_USED"
-- Retrieval info: CONSTANT: PORT_clk1 STRING "PORT_USED"
-- Retrieval info: CONSTANT: PORT_clk2 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clk3 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clk4 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clk5 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena0 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena1 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena2 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena3 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena4 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena5 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_extclk0 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_extclk1 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_extclk2 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_extclk3 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: SELF_RESET_ON_LOSS_LOCK STRING "OFF"
-- Retrieval info: CONSTANT: WIDTH_CLOCK NUMERIC "5"
-- Retrieval info: USED_PORT: @clk 0 0 5 0 OUTPUT_CLK_EXT VCC "@clk[4..0]"
-- Retrieval info: USED_PORT: @inclk 0 0 2 0 INPUT_CLK_EXT VCC "@inclk[1..0]"
-- Retrieval info: USED_PORT: c0 0 0 0 0 OUTPUT_CLK_EXT VCC "c0"
-- Retrieval info: USED_PORT: c1 0 0 0 0 OUTPUT_CLK_EXT VCC "c1"
-- Retrieval info: USED_PORT: inclk0 0 0 0 0 INPUT_CLK_EXT GND "inclk0"
-- Retrieval info: USED_PORT: locked 0 0 0 0 OUTPUT GND "locked"
-- Retrieval info: CONNECT: @inclk 0 0 1 1 GND 0 0 0 0
-- Retrieval info: CONNECT: @inclk 0 0 1 0 inclk0 0 0 0 0
-- Retrieval info: CONNECT: c0 0 0 0 0 @clk 0 0 1 0
-- Retrieval info: CONNECT: c1 0 0 0 0 @clk 0 0 1 1
-- Retrieval info: CONNECT: locked 0 0 0 0 @locked 0 0 0 0
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.vhd TRUE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.ppf TRUE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.inc FALSE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.cmp TRUE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.bsf TRUE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0_inst.vhd FALSE
-- Retrieval info: LIB_FILE: altera_mf
-- Retrieval info: CBX_MODULE_PREFIX: ON
|
-- megafunction wizard: %ALTPLL%
-- GENERATION: STANDARD
-- VERSION: WM1.0
-- MODULE: altpll
-- ============================================================
-- File Name: altpll0.vhd
-- Megafunction Name(s):
-- altpll
--
-- Simulation Library Files(s):
-- altera_mf
-- ============================================================
-- ************************************************************
-- THIS IS A WIZARD-GENERATED FILE. DO NOT EDIT THIS FILE!
--
-- 11.0 Build 208 07/03/2011 SP 1 SJ Web Edition
-- ************************************************************
--Copyright (C) 1991-2011 Altera Corporation
--Your use of Altera Corporation's design tools, logic functions
--and other software and tools, and its AMPP partner logic
--functions, and any output files from any of the foregoing
--(including device programming or simulation files), and any
--associated documentation or information are expressly subject
--to the terms and conditions of the Altera Program License
--Subscription Agreement, Altera MegaCore Function License
--Agreement, or other applicable license agreement, including,
--without limitation, that your use is for the sole purpose of
--programming logic devices manufactured by Altera and sold by
--Altera or its authorized distributors. Please refer to the
--applicable agreement for further details.
LIBRARY ieee;
USE ieee.std_logic_1164.all;
LIBRARY altera_mf;
USE altera_mf.all;
ENTITY altpll0 IS
PORT
(
inclk0 : IN STD_LOGIC := '0';
c0 : OUT STD_LOGIC ;
c1 : OUT STD_LOGIC ;
locked : OUT STD_LOGIC
);
END altpll0;
ARCHITECTURE SYN OF altpll0 IS
SIGNAL sub_wire0 : STD_LOGIC_VECTOR (4 DOWNTO 0);
SIGNAL sub_wire1 : STD_LOGIC ;
SIGNAL sub_wire2 : STD_LOGIC ;
SIGNAL sub_wire3 : STD_LOGIC ;
SIGNAL sub_wire4 : STD_LOGIC ;
SIGNAL sub_wire5 : STD_LOGIC_VECTOR (1 DOWNTO 0);
SIGNAL sub_wire6_bv : BIT_VECTOR (0 DOWNTO 0);
SIGNAL sub_wire6 : STD_LOGIC_VECTOR (0 DOWNTO 0);
COMPONENT altpll
GENERIC (
bandwidth_type : STRING;
clk0_divide_by : NATURAL;
clk0_duty_cycle : NATURAL;
clk0_multiply_by : NATURAL;
clk0_phase_shift : STRING;
clk1_divide_by : NATURAL;
clk1_duty_cycle : NATURAL;
clk1_multiply_by : NATURAL;
clk1_phase_shift : STRING;
compensate_clock : STRING;
inclk0_input_frequency : NATURAL;
intended_device_family : STRING;
lpm_hint : STRING;
lpm_type : STRING;
operation_mode : STRING;
pll_type : STRING;
port_activeclock : STRING;
port_areset : STRING;
port_clkbad0 : STRING;
port_clkbad1 : STRING;
port_clkloss : STRING;
port_clkswitch : STRING;
port_configupdate : STRING;
port_fbin : STRING;
port_inclk0 : STRING;
port_inclk1 : STRING;
port_locked : STRING;
port_pfdena : STRING;
port_phasecounterselect : STRING;
port_phasedone : STRING;
port_phasestep : STRING;
port_phaseupdown : STRING;
port_pllena : STRING;
port_scanaclr : STRING;
port_scanclk : STRING;
port_scanclkena : STRING;
port_scandata : STRING;
port_scandataout : STRING;
port_scandone : STRING;
port_scanread : STRING;
port_scanwrite : STRING;
port_clk0 : STRING;
port_clk1 : STRING;
port_clk2 : STRING;
port_clk3 : STRING;
port_clk4 : STRING;
port_clk5 : STRING;
port_clkena0 : STRING;
port_clkena1 : STRING;
port_clkena2 : STRING;
port_clkena3 : STRING;
port_clkena4 : STRING;
port_clkena5 : STRING;
port_extclk0 : STRING;
port_extclk1 : STRING;
port_extclk2 : STRING;
port_extclk3 : STRING;
self_reset_on_loss_lock : STRING;
width_clock : NATURAL
);
PORT (
clk : OUT STD_LOGIC_VECTOR (4 DOWNTO 0);
inclk : IN STD_LOGIC_VECTOR (1 DOWNTO 0);
locked : OUT STD_LOGIC
);
END COMPONENT;
BEGIN
sub_wire6_bv(0 DOWNTO 0) <= "0";
sub_wire6 <= To_stdlogicvector(sub_wire6_bv);
sub_wire3 <= sub_wire0(0);
sub_wire1 <= sub_wire0(1);
c1 <= sub_wire1;
locked <= sub_wire2;
c0 <= sub_wire3;
sub_wire4 <= inclk0;
sub_wire5 <= sub_wire6(0 DOWNTO 0) & sub_wire4;
altpll_component : altpll
GENERIC MAP (
bandwidth_type => "AUTO",
clk0_divide_by => 1,
clk0_duty_cycle => 50,
clk0_multiply_by => 1,
clk0_phase_shift => "0",
clk1_divide_by => 1,
clk1_duty_cycle => 50,
clk1_multiply_by => 2,
clk1_phase_shift => "0",
compensate_clock => "CLK0",
inclk0_input_frequency => 20000,
intended_device_family => "Cyclone III",
lpm_hint => "CBX_MODULE_PREFIX=altpll0",
lpm_type => "altpll",
operation_mode => "NORMAL",
pll_type => "AUTO",
port_activeclock => "PORT_UNUSED",
port_areset => "PORT_UNUSED",
port_clkbad0 => "PORT_UNUSED",
port_clkbad1 => "PORT_UNUSED",
port_clkloss => "PORT_UNUSED",
port_clkswitch => "PORT_UNUSED",
port_configupdate => "PORT_UNUSED",
port_fbin => "PORT_UNUSED",
port_inclk0 => "PORT_USED",
port_inclk1 => "PORT_UNUSED",
port_locked => "PORT_USED",
port_pfdena => "PORT_UNUSED",
port_phasecounterselect => "PORT_UNUSED",
port_phasedone => "PORT_UNUSED",
port_phasestep => "PORT_UNUSED",
port_phaseupdown => "PORT_UNUSED",
port_pllena => "PORT_UNUSED",
port_scanaclr => "PORT_UNUSED",
port_scanclk => "PORT_UNUSED",
port_scanclkena => "PORT_UNUSED",
port_scandata => "PORT_UNUSED",
port_scandataout => "PORT_UNUSED",
port_scandone => "PORT_UNUSED",
port_scanread => "PORT_UNUSED",
port_scanwrite => "PORT_UNUSED",
port_clk0 => "PORT_USED",
port_clk1 => "PORT_USED",
port_clk2 => "PORT_UNUSED",
port_clk3 => "PORT_UNUSED",
port_clk4 => "PORT_UNUSED",
port_clk5 => "PORT_UNUSED",
port_clkena0 => "PORT_UNUSED",
port_clkena1 => "PORT_UNUSED",
port_clkena2 => "PORT_UNUSED",
port_clkena3 => "PORT_UNUSED",
port_clkena4 => "PORT_UNUSED",
port_clkena5 => "PORT_UNUSED",
port_extclk0 => "PORT_UNUSED",
port_extclk1 => "PORT_UNUSED",
port_extclk2 => "PORT_UNUSED",
port_extclk3 => "PORT_UNUSED",
self_reset_on_loss_lock => "OFF",
width_clock => 5
)
PORT MAP (
inclk => sub_wire5,
clk => sub_wire0,
locked => sub_wire2
);
END SYN;
-- ============================================================
-- CNX file retrieval info
-- ============================================================
-- Retrieval info: PRIVATE: ACTIVECLK_CHECK STRING "0"
-- Retrieval info: PRIVATE: BANDWIDTH STRING "1.000"
-- Retrieval info: PRIVATE: BANDWIDTH_FEATURE_ENABLED STRING "1"
-- Retrieval info: PRIVATE: BANDWIDTH_FREQ_UNIT STRING "MHz"
-- Retrieval info: PRIVATE: BANDWIDTH_PRESET STRING "Low"
-- Retrieval info: PRIVATE: BANDWIDTH_USE_AUTO STRING "1"
-- Retrieval info: PRIVATE: BANDWIDTH_USE_PRESET STRING "0"
-- Retrieval info: PRIVATE: CLKBAD_SWITCHOVER_CHECK STRING "0"
-- Retrieval info: PRIVATE: CLKLOSS_CHECK STRING "0"
-- Retrieval info: PRIVATE: CLKSWITCH_CHECK STRING "0"
-- Retrieval info: PRIVATE: CNX_NO_COMPENSATE_RADIO STRING "0"
-- Retrieval info: PRIVATE: CREATE_CLKBAD_CHECK STRING "0"
-- Retrieval info: PRIVATE: CREATE_INCLK1_CHECK STRING "0"
-- Retrieval info: PRIVATE: CUR_DEDICATED_CLK STRING "c0"
-- Retrieval info: PRIVATE: CUR_FBIN_CLK STRING "c0"
-- Retrieval info: PRIVATE: DEVICE_SPEED_GRADE STRING "Any"
-- Retrieval info: PRIVATE: DIV_FACTOR0 NUMERIC "1"
-- Retrieval info: PRIVATE: DIV_FACTOR1 NUMERIC "1"
-- Retrieval info: PRIVATE: DUTY_CYCLE0 STRING "50.00000000"
-- Retrieval info: PRIVATE: DUTY_CYCLE1 STRING "50.00000000"
-- Retrieval info: PRIVATE: EFF_OUTPUT_FREQ_VALUE0 STRING "50.000000"
-- Retrieval info: PRIVATE: EFF_OUTPUT_FREQ_VALUE1 STRING "100.000000"
-- Retrieval info: PRIVATE: EXPLICIT_SWITCHOVER_COUNTER STRING "0"
-- Retrieval info: PRIVATE: EXT_FEEDBACK_RADIO STRING "0"
-- Retrieval info: PRIVATE: GLOCKED_COUNTER_EDIT_CHANGED STRING "1"
-- Retrieval info: PRIVATE: GLOCKED_FEATURE_ENABLED STRING "0"
-- Retrieval info: PRIVATE: GLOCKED_MODE_CHECK STRING "0"
-- Retrieval info: PRIVATE: GLOCK_COUNTER_EDIT NUMERIC "1048575"
-- Retrieval info: PRIVATE: HAS_MANUAL_SWITCHOVER STRING "1"
-- Retrieval info: PRIVATE: INCLK0_FREQ_EDIT STRING "50.000"
-- Retrieval info: PRIVATE: INCLK0_FREQ_UNIT_COMBO STRING "MHz"
-- Retrieval info: PRIVATE: INCLK1_FREQ_EDIT STRING "100.000"
-- Retrieval info: PRIVATE: INCLK1_FREQ_EDIT_CHANGED STRING "1"
-- Retrieval info: PRIVATE: INCLK1_FREQ_UNIT_CHANGED STRING "1"
-- Retrieval info: PRIVATE: INCLK1_FREQ_UNIT_COMBO STRING "MHz"
-- Retrieval info: PRIVATE: INTENDED_DEVICE_FAMILY STRING "Cyclone III"
-- Retrieval info: PRIVATE: INT_FEEDBACK__MODE_RADIO STRING "1"
-- Retrieval info: PRIVATE: LOCKED_OUTPUT_CHECK STRING "1"
-- Retrieval info: PRIVATE: LONG_SCAN_RADIO STRING "1"
-- Retrieval info: PRIVATE: LVDS_MODE_DATA_RATE STRING "Not Available"
-- Retrieval info: PRIVATE: LVDS_MODE_DATA_RATE_DIRTY NUMERIC "0"
-- Retrieval info: PRIVATE: LVDS_PHASE_SHIFT_UNIT0 STRING "deg"
-- Retrieval info: PRIVATE: LVDS_PHASE_SHIFT_UNIT1 STRING "deg"
-- Retrieval info: PRIVATE: MIG_DEVICE_SPEED_GRADE STRING "Any"
-- Retrieval info: PRIVATE: MIRROR_CLK0 STRING "0"
-- Retrieval info: PRIVATE: MIRROR_CLK1 STRING "0"
-- Retrieval info: PRIVATE: MULT_FACTOR0 NUMERIC "1"
-- Retrieval info: PRIVATE: MULT_FACTOR1 NUMERIC "1"
-- Retrieval info: PRIVATE: NORMAL_MODE_RADIO STRING "1"
-- Retrieval info: PRIVATE: OUTPUT_FREQ0 STRING "50.00000000"
-- Retrieval info: PRIVATE: OUTPUT_FREQ1 STRING "100.00000000"
-- Retrieval info: PRIVATE: OUTPUT_FREQ_MODE0 STRING "1"
-- Retrieval info: PRIVATE: OUTPUT_FREQ_MODE1 STRING "1"
-- Retrieval info: PRIVATE: OUTPUT_FREQ_UNIT0 STRING "MHz"
-- Retrieval info: PRIVATE: OUTPUT_FREQ_UNIT1 STRING "MHz"
-- Retrieval info: PRIVATE: PHASE_RECONFIG_FEATURE_ENABLED STRING "1"
-- Retrieval info: PRIVATE: PHASE_RECONFIG_INPUTS_CHECK STRING "0"
-- Retrieval info: PRIVATE: PHASE_SHIFT0 STRING "0.00000000"
-- Retrieval info: PRIVATE: PHASE_SHIFT1 STRING "0.00000000"
-- Retrieval info: PRIVATE: PHASE_SHIFT_STEP_ENABLED_CHECK STRING "0"
-- Retrieval info: PRIVATE: PHASE_SHIFT_UNIT0 STRING "deg"
-- Retrieval info: PRIVATE: PHASE_SHIFT_UNIT1 STRING "deg"
-- Retrieval info: PRIVATE: PLL_ADVANCED_PARAM_CHECK STRING "0"
-- Retrieval info: PRIVATE: PLL_ARESET_CHECK STRING "0"
-- Retrieval info: PRIVATE: PLL_AUTOPLL_CHECK NUMERIC "1"
-- Retrieval info: PRIVATE: PLL_ENHPLL_CHECK NUMERIC "0"
-- Retrieval info: PRIVATE: PLL_FASTPLL_CHECK NUMERIC "0"
-- Retrieval info: PRIVATE: PLL_FBMIMIC_CHECK STRING "0"
-- Retrieval info: PRIVATE: PLL_LVDS_PLL_CHECK NUMERIC "0"
-- Retrieval info: PRIVATE: PLL_PFDENA_CHECK STRING "0"
-- Retrieval info: PRIVATE: PLL_TARGET_HARCOPY_CHECK NUMERIC "0"
-- Retrieval info: PRIVATE: PRIMARY_CLK_COMBO STRING "inclk0"
-- Retrieval info: PRIVATE: RECONFIG_FILE STRING "altpll0.mif"
-- Retrieval info: PRIVATE: SACN_INPUTS_CHECK STRING "0"
-- Retrieval info: PRIVATE: SCAN_FEATURE_ENABLED STRING "1"
-- Retrieval info: PRIVATE: SELF_RESET_LOCK_LOSS STRING "0"
-- Retrieval info: PRIVATE: SHORT_SCAN_RADIO STRING "0"
-- Retrieval info: PRIVATE: SPREAD_FEATURE_ENABLED STRING "0"
-- Retrieval info: PRIVATE: SPREAD_FREQ STRING "50.000"
-- Retrieval info: PRIVATE: SPREAD_FREQ_UNIT STRING "KHz"
-- Retrieval info: PRIVATE: SPREAD_PERCENT STRING "0.500"
-- Retrieval info: PRIVATE: SPREAD_USE STRING "0"
-- Retrieval info: PRIVATE: SRC_SYNCH_COMP_RADIO STRING "0"
-- Retrieval info: PRIVATE: STICKY_CLK0 STRING "1"
-- Retrieval info: PRIVATE: STICKY_CLK1 STRING "1"
-- Retrieval info: PRIVATE: SWITCHOVER_COUNT_EDIT NUMERIC "1"
-- Retrieval info: PRIVATE: SWITCHOVER_FEATURE_ENABLED STRING "1"
-- Retrieval info: PRIVATE: SYNTH_WRAPPER_GEN_POSTFIX STRING "0"
-- Retrieval info: PRIVATE: USE_CLK0 STRING "1"
-- Retrieval info: PRIVATE: USE_CLK1 STRING "1"
-- Retrieval info: PRIVATE: USE_CLKENA0 STRING "0"
-- Retrieval info: PRIVATE: USE_CLKENA1 STRING "0"
-- Retrieval info: PRIVATE: USE_MIL_SPEED_GRADE NUMERIC "0"
-- Retrieval info: PRIVATE: ZERO_DELAY_RADIO STRING "0"
-- Retrieval info: LIBRARY: altera_mf altera_mf.altera_mf_components.all
-- Retrieval info: CONSTANT: BANDWIDTH_TYPE STRING "AUTO"
-- Retrieval info: CONSTANT: CLK0_DIVIDE_BY NUMERIC "1"
-- Retrieval info: CONSTANT: CLK0_DUTY_CYCLE NUMERIC "50"
-- Retrieval info: CONSTANT: CLK0_MULTIPLY_BY NUMERIC "1"
-- Retrieval info: CONSTANT: CLK0_PHASE_SHIFT STRING "0"
-- Retrieval info: CONSTANT: CLK1_DIVIDE_BY NUMERIC "1"
-- Retrieval info: CONSTANT: CLK1_DUTY_CYCLE NUMERIC "50"
-- Retrieval info: CONSTANT: CLK1_MULTIPLY_BY NUMERIC "2"
-- Retrieval info: CONSTANT: CLK1_PHASE_SHIFT STRING "0"
-- Retrieval info: CONSTANT: COMPENSATE_CLOCK STRING "CLK0"
-- Retrieval info: CONSTANT: INCLK0_INPUT_FREQUENCY NUMERIC "20000"
-- Retrieval info: CONSTANT: INTENDED_DEVICE_FAMILY STRING "Cyclone III"
-- Retrieval info: CONSTANT: LPM_TYPE STRING "altpll"
-- Retrieval info: CONSTANT: OPERATION_MODE STRING "NORMAL"
-- Retrieval info: CONSTANT: PLL_TYPE STRING "AUTO"
-- Retrieval info: CONSTANT: PORT_ACTIVECLOCK STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_ARESET STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CLKBAD0 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CLKBAD1 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CLKLOSS STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CLKSWITCH STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CONFIGUPDATE STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_FBIN STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_INCLK0 STRING "PORT_USED"
-- Retrieval info: CONSTANT: PORT_INCLK1 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_LOCKED STRING "PORT_USED"
-- Retrieval info: CONSTANT: PORT_PFDENA STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PHASECOUNTERSELECT STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PHASEDONE STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PHASESTEP STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PHASEUPDOWN STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PLLENA STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANACLR STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANCLK STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANCLKENA STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANDATA STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANDATAOUT STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANDONE STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANREAD STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANWRITE STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clk0 STRING "PORT_USED"
-- Retrieval info: CONSTANT: PORT_clk1 STRING "PORT_USED"
-- Retrieval info: CONSTANT: PORT_clk2 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clk3 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clk4 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clk5 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena0 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena1 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena2 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena3 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena4 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena5 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_extclk0 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_extclk1 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_extclk2 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_extclk3 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: SELF_RESET_ON_LOSS_LOCK STRING "OFF"
-- Retrieval info: CONSTANT: WIDTH_CLOCK NUMERIC "5"
-- Retrieval info: USED_PORT: @clk 0 0 5 0 OUTPUT_CLK_EXT VCC "@clk[4..0]"
-- Retrieval info: USED_PORT: @inclk 0 0 2 0 INPUT_CLK_EXT VCC "@inclk[1..0]"
-- Retrieval info: USED_PORT: c0 0 0 0 0 OUTPUT_CLK_EXT VCC "c0"
-- Retrieval info: USED_PORT: c1 0 0 0 0 OUTPUT_CLK_EXT VCC "c1"
-- Retrieval info: USED_PORT: inclk0 0 0 0 0 INPUT_CLK_EXT GND "inclk0"
-- Retrieval info: USED_PORT: locked 0 0 0 0 OUTPUT GND "locked"
-- Retrieval info: CONNECT: @inclk 0 0 1 1 GND 0 0 0 0
-- Retrieval info: CONNECT: @inclk 0 0 1 0 inclk0 0 0 0 0
-- Retrieval info: CONNECT: c0 0 0 0 0 @clk 0 0 1 0
-- Retrieval info: CONNECT: c1 0 0 0 0 @clk 0 0 1 1
-- Retrieval info: CONNECT: locked 0 0 0 0 @locked 0 0 0 0
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.vhd TRUE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.ppf TRUE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.inc FALSE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.cmp TRUE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.bsf TRUE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0_inst.vhd FALSE
-- Retrieval info: LIB_FILE: altera_mf
-- Retrieval info: CBX_MODULE_PREFIX: ON
|
-- megafunction wizard: %ALTPLL%
-- GENERATION: STANDARD
-- VERSION: WM1.0
-- MODULE: altpll
-- ============================================================
-- File Name: altpll0.vhd
-- Megafunction Name(s):
-- altpll
--
-- Simulation Library Files(s):
-- altera_mf
-- ============================================================
-- ************************************************************
-- THIS IS A WIZARD-GENERATED FILE. DO NOT EDIT THIS FILE!
--
-- 11.0 Build 208 07/03/2011 SP 1 SJ Web Edition
-- ************************************************************
--Copyright (C) 1991-2011 Altera Corporation
--Your use of Altera Corporation's design tools, logic functions
--and other software and tools, and its AMPP partner logic
--functions, and any output files from any of the foregoing
--(including device programming or simulation files), and any
--associated documentation or information are expressly subject
--to the terms and conditions of the Altera Program License
--Subscription Agreement, Altera MegaCore Function License
--Agreement, or other applicable license agreement, including,
--without limitation, that your use is for the sole purpose of
--programming logic devices manufactured by Altera and sold by
--Altera or its authorized distributors. Please refer to the
--applicable agreement for further details.
LIBRARY ieee;
USE ieee.std_logic_1164.all;
LIBRARY altera_mf;
USE altera_mf.all;
ENTITY altpll0 IS
PORT
(
inclk0 : IN STD_LOGIC := '0';
c0 : OUT STD_LOGIC ;
c1 : OUT STD_LOGIC ;
locked : OUT STD_LOGIC
);
END altpll0;
ARCHITECTURE SYN OF altpll0 IS
SIGNAL sub_wire0 : STD_LOGIC_VECTOR (4 DOWNTO 0);
SIGNAL sub_wire1 : STD_LOGIC ;
SIGNAL sub_wire2 : STD_LOGIC ;
SIGNAL sub_wire3 : STD_LOGIC ;
SIGNAL sub_wire4 : STD_LOGIC ;
SIGNAL sub_wire5 : STD_LOGIC_VECTOR (1 DOWNTO 0);
SIGNAL sub_wire6_bv : BIT_VECTOR (0 DOWNTO 0);
SIGNAL sub_wire6 : STD_LOGIC_VECTOR (0 DOWNTO 0);
COMPONENT altpll
GENERIC (
bandwidth_type : STRING;
clk0_divide_by : NATURAL;
clk0_duty_cycle : NATURAL;
clk0_multiply_by : NATURAL;
clk0_phase_shift : STRING;
clk1_divide_by : NATURAL;
clk1_duty_cycle : NATURAL;
clk1_multiply_by : NATURAL;
clk1_phase_shift : STRING;
compensate_clock : STRING;
inclk0_input_frequency : NATURAL;
intended_device_family : STRING;
lpm_hint : STRING;
lpm_type : STRING;
operation_mode : STRING;
pll_type : STRING;
port_activeclock : STRING;
port_areset : STRING;
port_clkbad0 : STRING;
port_clkbad1 : STRING;
port_clkloss : STRING;
port_clkswitch : STRING;
port_configupdate : STRING;
port_fbin : STRING;
port_inclk0 : STRING;
port_inclk1 : STRING;
port_locked : STRING;
port_pfdena : STRING;
port_phasecounterselect : STRING;
port_phasedone : STRING;
port_phasestep : STRING;
port_phaseupdown : STRING;
port_pllena : STRING;
port_scanaclr : STRING;
port_scanclk : STRING;
port_scanclkena : STRING;
port_scandata : STRING;
port_scandataout : STRING;
port_scandone : STRING;
port_scanread : STRING;
port_scanwrite : STRING;
port_clk0 : STRING;
port_clk1 : STRING;
port_clk2 : STRING;
port_clk3 : STRING;
port_clk4 : STRING;
port_clk5 : STRING;
port_clkena0 : STRING;
port_clkena1 : STRING;
port_clkena2 : STRING;
port_clkena3 : STRING;
port_clkena4 : STRING;
port_clkena5 : STRING;
port_extclk0 : STRING;
port_extclk1 : STRING;
port_extclk2 : STRING;
port_extclk3 : STRING;
self_reset_on_loss_lock : STRING;
width_clock : NATURAL
);
PORT (
clk : OUT STD_LOGIC_VECTOR (4 DOWNTO 0);
inclk : IN STD_LOGIC_VECTOR (1 DOWNTO 0);
locked : OUT STD_LOGIC
);
END COMPONENT;
BEGIN
sub_wire6_bv(0 DOWNTO 0) <= "0";
sub_wire6 <= To_stdlogicvector(sub_wire6_bv);
sub_wire3 <= sub_wire0(0);
sub_wire1 <= sub_wire0(1);
c1 <= sub_wire1;
locked <= sub_wire2;
c0 <= sub_wire3;
sub_wire4 <= inclk0;
sub_wire5 <= sub_wire6(0 DOWNTO 0) & sub_wire4;
altpll_component : altpll
GENERIC MAP (
bandwidth_type => "AUTO",
clk0_divide_by => 1,
clk0_duty_cycle => 50,
clk0_multiply_by => 1,
clk0_phase_shift => "0",
clk1_divide_by => 1,
clk1_duty_cycle => 50,
clk1_multiply_by => 2,
clk1_phase_shift => "0",
compensate_clock => "CLK0",
inclk0_input_frequency => 20000,
intended_device_family => "Cyclone III",
lpm_hint => "CBX_MODULE_PREFIX=altpll0",
lpm_type => "altpll",
operation_mode => "NORMAL",
pll_type => "AUTO",
port_activeclock => "PORT_UNUSED",
port_areset => "PORT_UNUSED",
port_clkbad0 => "PORT_UNUSED",
port_clkbad1 => "PORT_UNUSED",
port_clkloss => "PORT_UNUSED",
port_clkswitch => "PORT_UNUSED",
port_configupdate => "PORT_UNUSED",
port_fbin => "PORT_UNUSED",
port_inclk0 => "PORT_USED",
port_inclk1 => "PORT_UNUSED",
port_locked => "PORT_USED",
port_pfdena => "PORT_UNUSED",
port_phasecounterselect => "PORT_UNUSED",
port_phasedone => "PORT_UNUSED",
port_phasestep => "PORT_UNUSED",
port_phaseupdown => "PORT_UNUSED",
port_pllena => "PORT_UNUSED",
port_scanaclr => "PORT_UNUSED",
port_scanclk => "PORT_UNUSED",
port_scanclkena => "PORT_UNUSED",
port_scandata => "PORT_UNUSED",
port_scandataout => "PORT_UNUSED",
port_scandone => "PORT_UNUSED",
port_scanread => "PORT_UNUSED",
port_scanwrite => "PORT_UNUSED",
port_clk0 => "PORT_USED",
port_clk1 => "PORT_USED",
port_clk2 => "PORT_UNUSED",
port_clk3 => "PORT_UNUSED",
port_clk4 => "PORT_UNUSED",
port_clk5 => "PORT_UNUSED",
port_clkena0 => "PORT_UNUSED",
port_clkena1 => "PORT_UNUSED",
port_clkena2 => "PORT_UNUSED",
port_clkena3 => "PORT_UNUSED",
port_clkena4 => "PORT_UNUSED",
port_clkena5 => "PORT_UNUSED",
port_extclk0 => "PORT_UNUSED",
port_extclk1 => "PORT_UNUSED",
port_extclk2 => "PORT_UNUSED",
port_extclk3 => "PORT_UNUSED",
self_reset_on_loss_lock => "OFF",
width_clock => 5
)
PORT MAP (
inclk => sub_wire5,
clk => sub_wire0,
locked => sub_wire2
);
END SYN;
-- ============================================================
-- CNX file retrieval info
-- ============================================================
-- Retrieval info: PRIVATE: ACTIVECLK_CHECK STRING "0"
-- Retrieval info: PRIVATE: BANDWIDTH STRING "1.000"
-- Retrieval info: PRIVATE: BANDWIDTH_FEATURE_ENABLED STRING "1"
-- Retrieval info: PRIVATE: BANDWIDTH_FREQ_UNIT STRING "MHz"
-- Retrieval info: PRIVATE: BANDWIDTH_PRESET STRING "Low"
-- Retrieval info: PRIVATE: BANDWIDTH_USE_AUTO STRING "1"
-- Retrieval info: PRIVATE: BANDWIDTH_USE_PRESET STRING "0"
-- Retrieval info: PRIVATE: CLKBAD_SWITCHOVER_CHECK STRING "0"
-- Retrieval info: PRIVATE: CLKLOSS_CHECK STRING "0"
-- Retrieval info: PRIVATE: CLKSWITCH_CHECK STRING "0"
-- Retrieval info: PRIVATE: CNX_NO_COMPENSATE_RADIO STRING "0"
-- Retrieval info: PRIVATE: CREATE_CLKBAD_CHECK STRING "0"
-- Retrieval info: PRIVATE: CREATE_INCLK1_CHECK STRING "0"
-- Retrieval info: PRIVATE: CUR_DEDICATED_CLK STRING "c0"
-- Retrieval info: PRIVATE: CUR_FBIN_CLK STRING "c0"
-- Retrieval info: PRIVATE: DEVICE_SPEED_GRADE STRING "Any"
-- Retrieval info: PRIVATE: DIV_FACTOR0 NUMERIC "1"
-- Retrieval info: PRIVATE: DIV_FACTOR1 NUMERIC "1"
-- Retrieval info: PRIVATE: DUTY_CYCLE0 STRING "50.00000000"
-- Retrieval info: PRIVATE: DUTY_CYCLE1 STRING "50.00000000"
-- Retrieval info: PRIVATE: EFF_OUTPUT_FREQ_VALUE0 STRING "50.000000"
-- Retrieval info: PRIVATE: EFF_OUTPUT_FREQ_VALUE1 STRING "100.000000"
-- Retrieval info: PRIVATE: EXPLICIT_SWITCHOVER_COUNTER STRING "0"
-- Retrieval info: PRIVATE: EXT_FEEDBACK_RADIO STRING "0"
-- Retrieval info: PRIVATE: GLOCKED_COUNTER_EDIT_CHANGED STRING "1"
-- Retrieval info: PRIVATE: GLOCKED_FEATURE_ENABLED STRING "0"
-- Retrieval info: PRIVATE: GLOCKED_MODE_CHECK STRING "0"
-- Retrieval info: PRIVATE: GLOCK_COUNTER_EDIT NUMERIC "1048575"
-- Retrieval info: PRIVATE: HAS_MANUAL_SWITCHOVER STRING "1"
-- Retrieval info: PRIVATE: INCLK0_FREQ_EDIT STRING "50.000"
-- Retrieval info: PRIVATE: INCLK0_FREQ_UNIT_COMBO STRING "MHz"
-- Retrieval info: PRIVATE: INCLK1_FREQ_EDIT STRING "100.000"
-- Retrieval info: PRIVATE: INCLK1_FREQ_EDIT_CHANGED STRING "1"
-- Retrieval info: PRIVATE: INCLK1_FREQ_UNIT_CHANGED STRING "1"
-- Retrieval info: PRIVATE: INCLK1_FREQ_UNIT_COMBO STRING "MHz"
-- Retrieval info: PRIVATE: INTENDED_DEVICE_FAMILY STRING "Cyclone III"
-- Retrieval info: PRIVATE: INT_FEEDBACK__MODE_RADIO STRING "1"
-- Retrieval info: PRIVATE: LOCKED_OUTPUT_CHECK STRING "1"
-- Retrieval info: PRIVATE: LONG_SCAN_RADIO STRING "1"
-- Retrieval info: PRIVATE: LVDS_MODE_DATA_RATE STRING "Not Available"
-- Retrieval info: PRIVATE: LVDS_MODE_DATA_RATE_DIRTY NUMERIC "0"
-- Retrieval info: PRIVATE: LVDS_PHASE_SHIFT_UNIT0 STRING "deg"
-- Retrieval info: PRIVATE: LVDS_PHASE_SHIFT_UNIT1 STRING "deg"
-- Retrieval info: PRIVATE: MIG_DEVICE_SPEED_GRADE STRING "Any"
-- Retrieval info: PRIVATE: MIRROR_CLK0 STRING "0"
-- Retrieval info: PRIVATE: MIRROR_CLK1 STRING "0"
-- Retrieval info: PRIVATE: MULT_FACTOR0 NUMERIC "1"
-- Retrieval info: PRIVATE: MULT_FACTOR1 NUMERIC "1"
-- Retrieval info: PRIVATE: NORMAL_MODE_RADIO STRING "1"
-- Retrieval info: PRIVATE: OUTPUT_FREQ0 STRING "50.00000000"
-- Retrieval info: PRIVATE: OUTPUT_FREQ1 STRING "100.00000000"
-- Retrieval info: PRIVATE: OUTPUT_FREQ_MODE0 STRING "1"
-- Retrieval info: PRIVATE: OUTPUT_FREQ_MODE1 STRING "1"
-- Retrieval info: PRIVATE: OUTPUT_FREQ_UNIT0 STRING "MHz"
-- Retrieval info: PRIVATE: OUTPUT_FREQ_UNIT1 STRING "MHz"
-- Retrieval info: PRIVATE: PHASE_RECONFIG_FEATURE_ENABLED STRING "1"
-- Retrieval info: PRIVATE: PHASE_RECONFIG_INPUTS_CHECK STRING "0"
-- Retrieval info: PRIVATE: PHASE_SHIFT0 STRING "0.00000000"
-- Retrieval info: PRIVATE: PHASE_SHIFT1 STRING "0.00000000"
-- Retrieval info: PRIVATE: PHASE_SHIFT_STEP_ENABLED_CHECK STRING "0"
-- Retrieval info: PRIVATE: PHASE_SHIFT_UNIT0 STRING "deg"
-- Retrieval info: PRIVATE: PHASE_SHIFT_UNIT1 STRING "deg"
-- Retrieval info: PRIVATE: PLL_ADVANCED_PARAM_CHECK STRING "0"
-- Retrieval info: PRIVATE: PLL_ARESET_CHECK STRING "0"
-- Retrieval info: PRIVATE: PLL_AUTOPLL_CHECK NUMERIC "1"
-- Retrieval info: PRIVATE: PLL_ENHPLL_CHECK NUMERIC "0"
-- Retrieval info: PRIVATE: PLL_FASTPLL_CHECK NUMERIC "0"
-- Retrieval info: PRIVATE: PLL_FBMIMIC_CHECK STRING "0"
-- Retrieval info: PRIVATE: PLL_LVDS_PLL_CHECK NUMERIC "0"
-- Retrieval info: PRIVATE: PLL_PFDENA_CHECK STRING "0"
-- Retrieval info: PRIVATE: PLL_TARGET_HARCOPY_CHECK NUMERIC "0"
-- Retrieval info: PRIVATE: PRIMARY_CLK_COMBO STRING "inclk0"
-- Retrieval info: PRIVATE: RECONFIG_FILE STRING "altpll0.mif"
-- Retrieval info: PRIVATE: SACN_INPUTS_CHECK STRING "0"
-- Retrieval info: PRIVATE: SCAN_FEATURE_ENABLED STRING "1"
-- Retrieval info: PRIVATE: SELF_RESET_LOCK_LOSS STRING "0"
-- Retrieval info: PRIVATE: SHORT_SCAN_RADIO STRING "0"
-- Retrieval info: PRIVATE: SPREAD_FEATURE_ENABLED STRING "0"
-- Retrieval info: PRIVATE: SPREAD_FREQ STRING "50.000"
-- Retrieval info: PRIVATE: SPREAD_FREQ_UNIT STRING "KHz"
-- Retrieval info: PRIVATE: SPREAD_PERCENT STRING "0.500"
-- Retrieval info: PRIVATE: SPREAD_USE STRING "0"
-- Retrieval info: PRIVATE: SRC_SYNCH_COMP_RADIO STRING "0"
-- Retrieval info: PRIVATE: STICKY_CLK0 STRING "1"
-- Retrieval info: PRIVATE: STICKY_CLK1 STRING "1"
-- Retrieval info: PRIVATE: SWITCHOVER_COUNT_EDIT NUMERIC "1"
-- Retrieval info: PRIVATE: SWITCHOVER_FEATURE_ENABLED STRING "1"
-- Retrieval info: PRIVATE: SYNTH_WRAPPER_GEN_POSTFIX STRING "0"
-- Retrieval info: PRIVATE: USE_CLK0 STRING "1"
-- Retrieval info: PRIVATE: USE_CLK1 STRING "1"
-- Retrieval info: PRIVATE: USE_CLKENA0 STRING "0"
-- Retrieval info: PRIVATE: USE_CLKENA1 STRING "0"
-- Retrieval info: PRIVATE: USE_MIL_SPEED_GRADE NUMERIC "0"
-- Retrieval info: PRIVATE: ZERO_DELAY_RADIO STRING "0"
-- Retrieval info: LIBRARY: altera_mf altera_mf.altera_mf_components.all
-- Retrieval info: CONSTANT: BANDWIDTH_TYPE STRING "AUTO"
-- Retrieval info: CONSTANT: CLK0_DIVIDE_BY NUMERIC "1"
-- Retrieval info: CONSTANT: CLK0_DUTY_CYCLE NUMERIC "50"
-- Retrieval info: CONSTANT: CLK0_MULTIPLY_BY NUMERIC "1"
-- Retrieval info: CONSTANT: CLK0_PHASE_SHIFT STRING "0"
-- Retrieval info: CONSTANT: CLK1_DIVIDE_BY NUMERIC "1"
-- Retrieval info: CONSTANT: CLK1_DUTY_CYCLE NUMERIC "50"
-- Retrieval info: CONSTANT: CLK1_MULTIPLY_BY NUMERIC "2"
-- Retrieval info: CONSTANT: CLK1_PHASE_SHIFT STRING "0"
-- Retrieval info: CONSTANT: COMPENSATE_CLOCK STRING "CLK0"
-- Retrieval info: CONSTANT: INCLK0_INPUT_FREQUENCY NUMERIC "20000"
-- Retrieval info: CONSTANT: INTENDED_DEVICE_FAMILY STRING "Cyclone III"
-- Retrieval info: CONSTANT: LPM_TYPE STRING "altpll"
-- Retrieval info: CONSTANT: OPERATION_MODE STRING "NORMAL"
-- Retrieval info: CONSTANT: PLL_TYPE STRING "AUTO"
-- Retrieval info: CONSTANT: PORT_ACTIVECLOCK STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_ARESET STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CLKBAD0 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CLKBAD1 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CLKLOSS STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CLKSWITCH STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CONFIGUPDATE STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_FBIN STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_INCLK0 STRING "PORT_USED"
-- Retrieval info: CONSTANT: PORT_INCLK1 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_LOCKED STRING "PORT_USED"
-- Retrieval info: CONSTANT: PORT_PFDENA STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PHASECOUNTERSELECT STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PHASEDONE STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PHASESTEP STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PHASEUPDOWN STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PLLENA STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANACLR STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANCLK STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANCLKENA STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANDATA STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANDATAOUT STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANDONE STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANREAD STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANWRITE STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clk0 STRING "PORT_USED"
-- Retrieval info: CONSTANT: PORT_clk1 STRING "PORT_USED"
-- Retrieval info: CONSTANT: PORT_clk2 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clk3 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clk4 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clk5 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena0 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena1 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena2 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena3 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena4 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena5 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_extclk0 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_extclk1 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_extclk2 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_extclk3 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: SELF_RESET_ON_LOSS_LOCK STRING "OFF"
-- Retrieval info: CONSTANT: WIDTH_CLOCK NUMERIC "5"
-- Retrieval info: USED_PORT: @clk 0 0 5 0 OUTPUT_CLK_EXT VCC "@clk[4..0]"
-- Retrieval info: USED_PORT: @inclk 0 0 2 0 INPUT_CLK_EXT VCC "@inclk[1..0]"
-- Retrieval info: USED_PORT: c0 0 0 0 0 OUTPUT_CLK_EXT VCC "c0"
-- Retrieval info: USED_PORT: c1 0 0 0 0 OUTPUT_CLK_EXT VCC "c1"
-- Retrieval info: USED_PORT: inclk0 0 0 0 0 INPUT_CLK_EXT GND "inclk0"
-- Retrieval info: USED_PORT: locked 0 0 0 0 OUTPUT GND "locked"
-- Retrieval info: CONNECT: @inclk 0 0 1 1 GND 0 0 0 0
-- Retrieval info: CONNECT: @inclk 0 0 1 0 inclk0 0 0 0 0
-- Retrieval info: CONNECT: c0 0 0 0 0 @clk 0 0 1 0
-- Retrieval info: CONNECT: c1 0 0 0 0 @clk 0 0 1 1
-- Retrieval info: CONNECT: locked 0 0 0 0 @locked 0 0 0 0
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.vhd TRUE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.ppf TRUE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.inc FALSE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.cmp TRUE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.bsf TRUE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0_inst.vhd FALSE
-- Retrieval info: LIB_FILE: altera_mf
-- Retrieval info: CBX_MODULE_PREFIX: ON
|
-- megafunction wizard: %ALTPLL%
-- GENERATION: STANDARD
-- VERSION: WM1.0
-- MODULE: altpll
-- ============================================================
-- File Name: altpll0.vhd
-- Megafunction Name(s):
-- altpll
--
-- Simulation Library Files(s):
-- altera_mf
-- ============================================================
-- ************************************************************
-- THIS IS A WIZARD-GENERATED FILE. DO NOT EDIT THIS FILE!
--
-- 11.0 Build 208 07/03/2011 SP 1 SJ Web Edition
-- ************************************************************
--Copyright (C) 1991-2011 Altera Corporation
--Your use of Altera Corporation's design tools, logic functions
--and other software and tools, and its AMPP partner logic
--functions, and any output files from any of the foregoing
--(including device programming or simulation files), and any
--associated documentation or information are expressly subject
--to the terms and conditions of the Altera Program License
--Subscription Agreement, Altera MegaCore Function License
--Agreement, or other applicable license agreement, including,
--without limitation, that your use is for the sole purpose of
--programming logic devices manufactured by Altera and sold by
--Altera or its authorized distributors. Please refer to the
--applicable agreement for further details.
LIBRARY ieee;
USE ieee.std_logic_1164.all;
LIBRARY altera_mf;
USE altera_mf.all;
ENTITY altpll0 IS
PORT
(
inclk0 : IN STD_LOGIC := '0';
c0 : OUT STD_LOGIC ;
c1 : OUT STD_LOGIC ;
locked : OUT STD_LOGIC
);
END altpll0;
ARCHITECTURE SYN OF altpll0 IS
SIGNAL sub_wire0 : STD_LOGIC_VECTOR (4 DOWNTO 0);
SIGNAL sub_wire1 : STD_LOGIC ;
SIGNAL sub_wire2 : STD_LOGIC ;
SIGNAL sub_wire3 : STD_LOGIC ;
SIGNAL sub_wire4 : STD_LOGIC ;
SIGNAL sub_wire5 : STD_LOGIC_VECTOR (1 DOWNTO 0);
SIGNAL sub_wire6_bv : BIT_VECTOR (0 DOWNTO 0);
SIGNAL sub_wire6 : STD_LOGIC_VECTOR (0 DOWNTO 0);
COMPONENT altpll
GENERIC (
bandwidth_type : STRING;
clk0_divide_by : NATURAL;
clk0_duty_cycle : NATURAL;
clk0_multiply_by : NATURAL;
clk0_phase_shift : STRING;
clk1_divide_by : NATURAL;
clk1_duty_cycle : NATURAL;
clk1_multiply_by : NATURAL;
clk1_phase_shift : STRING;
compensate_clock : STRING;
inclk0_input_frequency : NATURAL;
intended_device_family : STRING;
lpm_hint : STRING;
lpm_type : STRING;
operation_mode : STRING;
pll_type : STRING;
port_activeclock : STRING;
port_areset : STRING;
port_clkbad0 : STRING;
port_clkbad1 : STRING;
port_clkloss : STRING;
port_clkswitch : STRING;
port_configupdate : STRING;
port_fbin : STRING;
port_inclk0 : STRING;
port_inclk1 : STRING;
port_locked : STRING;
port_pfdena : STRING;
port_phasecounterselect : STRING;
port_phasedone : STRING;
port_phasestep : STRING;
port_phaseupdown : STRING;
port_pllena : STRING;
port_scanaclr : STRING;
port_scanclk : STRING;
port_scanclkena : STRING;
port_scandata : STRING;
port_scandataout : STRING;
port_scandone : STRING;
port_scanread : STRING;
port_scanwrite : STRING;
port_clk0 : STRING;
port_clk1 : STRING;
port_clk2 : STRING;
port_clk3 : STRING;
port_clk4 : STRING;
port_clk5 : STRING;
port_clkena0 : STRING;
port_clkena1 : STRING;
port_clkena2 : STRING;
port_clkena3 : STRING;
port_clkena4 : STRING;
port_clkena5 : STRING;
port_extclk0 : STRING;
port_extclk1 : STRING;
port_extclk2 : STRING;
port_extclk3 : STRING;
self_reset_on_loss_lock : STRING;
width_clock : NATURAL
);
PORT (
clk : OUT STD_LOGIC_VECTOR (4 DOWNTO 0);
inclk : IN STD_LOGIC_VECTOR (1 DOWNTO 0);
locked : OUT STD_LOGIC
);
END COMPONENT;
BEGIN
sub_wire6_bv(0 DOWNTO 0) <= "0";
sub_wire6 <= To_stdlogicvector(sub_wire6_bv);
sub_wire3 <= sub_wire0(0);
sub_wire1 <= sub_wire0(1);
c1 <= sub_wire1;
locked <= sub_wire2;
c0 <= sub_wire3;
sub_wire4 <= inclk0;
sub_wire5 <= sub_wire6(0 DOWNTO 0) & sub_wire4;
altpll_component : altpll
GENERIC MAP (
bandwidth_type => "AUTO",
clk0_divide_by => 1,
clk0_duty_cycle => 50,
clk0_multiply_by => 1,
clk0_phase_shift => "0",
clk1_divide_by => 1,
clk1_duty_cycle => 50,
clk1_multiply_by => 2,
clk1_phase_shift => "0",
compensate_clock => "CLK0",
inclk0_input_frequency => 20000,
intended_device_family => "Cyclone III",
lpm_hint => "CBX_MODULE_PREFIX=altpll0",
lpm_type => "altpll",
operation_mode => "NORMAL",
pll_type => "AUTO",
port_activeclock => "PORT_UNUSED",
port_areset => "PORT_UNUSED",
port_clkbad0 => "PORT_UNUSED",
port_clkbad1 => "PORT_UNUSED",
port_clkloss => "PORT_UNUSED",
port_clkswitch => "PORT_UNUSED",
port_configupdate => "PORT_UNUSED",
port_fbin => "PORT_UNUSED",
port_inclk0 => "PORT_USED",
port_inclk1 => "PORT_UNUSED",
port_locked => "PORT_USED",
port_pfdena => "PORT_UNUSED",
port_phasecounterselect => "PORT_UNUSED",
port_phasedone => "PORT_UNUSED",
port_phasestep => "PORT_UNUSED",
port_phaseupdown => "PORT_UNUSED",
port_pllena => "PORT_UNUSED",
port_scanaclr => "PORT_UNUSED",
port_scanclk => "PORT_UNUSED",
port_scanclkena => "PORT_UNUSED",
port_scandata => "PORT_UNUSED",
port_scandataout => "PORT_UNUSED",
port_scandone => "PORT_UNUSED",
port_scanread => "PORT_UNUSED",
port_scanwrite => "PORT_UNUSED",
port_clk0 => "PORT_USED",
port_clk1 => "PORT_USED",
port_clk2 => "PORT_UNUSED",
port_clk3 => "PORT_UNUSED",
port_clk4 => "PORT_UNUSED",
port_clk5 => "PORT_UNUSED",
port_clkena0 => "PORT_UNUSED",
port_clkena1 => "PORT_UNUSED",
port_clkena2 => "PORT_UNUSED",
port_clkena3 => "PORT_UNUSED",
port_clkena4 => "PORT_UNUSED",
port_clkena5 => "PORT_UNUSED",
port_extclk0 => "PORT_UNUSED",
port_extclk1 => "PORT_UNUSED",
port_extclk2 => "PORT_UNUSED",
port_extclk3 => "PORT_UNUSED",
self_reset_on_loss_lock => "OFF",
width_clock => 5
)
PORT MAP (
inclk => sub_wire5,
clk => sub_wire0,
locked => sub_wire2
);
END SYN;
-- ============================================================
-- CNX file retrieval info
-- ============================================================
-- Retrieval info: PRIVATE: ACTIVECLK_CHECK STRING "0"
-- Retrieval info: PRIVATE: BANDWIDTH STRING "1.000"
-- Retrieval info: PRIVATE: BANDWIDTH_FEATURE_ENABLED STRING "1"
-- Retrieval info: PRIVATE: BANDWIDTH_FREQ_UNIT STRING "MHz"
-- Retrieval info: PRIVATE: BANDWIDTH_PRESET STRING "Low"
-- Retrieval info: PRIVATE: BANDWIDTH_USE_AUTO STRING "1"
-- Retrieval info: PRIVATE: BANDWIDTH_USE_PRESET STRING "0"
-- Retrieval info: PRIVATE: CLKBAD_SWITCHOVER_CHECK STRING "0"
-- Retrieval info: PRIVATE: CLKLOSS_CHECK STRING "0"
-- Retrieval info: PRIVATE: CLKSWITCH_CHECK STRING "0"
-- Retrieval info: PRIVATE: CNX_NO_COMPENSATE_RADIO STRING "0"
-- Retrieval info: PRIVATE: CREATE_CLKBAD_CHECK STRING "0"
-- Retrieval info: PRIVATE: CREATE_INCLK1_CHECK STRING "0"
-- Retrieval info: PRIVATE: CUR_DEDICATED_CLK STRING "c0"
-- Retrieval info: PRIVATE: CUR_FBIN_CLK STRING "c0"
-- Retrieval info: PRIVATE: DEVICE_SPEED_GRADE STRING "Any"
-- Retrieval info: PRIVATE: DIV_FACTOR0 NUMERIC "1"
-- Retrieval info: PRIVATE: DIV_FACTOR1 NUMERIC "1"
-- Retrieval info: PRIVATE: DUTY_CYCLE0 STRING "50.00000000"
-- Retrieval info: PRIVATE: DUTY_CYCLE1 STRING "50.00000000"
-- Retrieval info: PRIVATE: EFF_OUTPUT_FREQ_VALUE0 STRING "50.000000"
-- Retrieval info: PRIVATE: EFF_OUTPUT_FREQ_VALUE1 STRING "100.000000"
-- Retrieval info: PRIVATE: EXPLICIT_SWITCHOVER_COUNTER STRING "0"
-- Retrieval info: PRIVATE: EXT_FEEDBACK_RADIO STRING "0"
-- Retrieval info: PRIVATE: GLOCKED_COUNTER_EDIT_CHANGED STRING "1"
-- Retrieval info: PRIVATE: GLOCKED_FEATURE_ENABLED STRING "0"
-- Retrieval info: PRIVATE: GLOCKED_MODE_CHECK STRING "0"
-- Retrieval info: PRIVATE: GLOCK_COUNTER_EDIT NUMERIC "1048575"
-- Retrieval info: PRIVATE: HAS_MANUAL_SWITCHOVER STRING "1"
-- Retrieval info: PRIVATE: INCLK0_FREQ_EDIT STRING "50.000"
-- Retrieval info: PRIVATE: INCLK0_FREQ_UNIT_COMBO STRING "MHz"
-- Retrieval info: PRIVATE: INCLK1_FREQ_EDIT STRING "100.000"
-- Retrieval info: PRIVATE: INCLK1_FREQ_EDIT_CHANGED STRING "1"
-- Retrieval info: PRIVATE: INCLK1_FREQ_UNIT_CHANGED STRING "1"
-- Retrieval info: PRIVATE: INCLK1_FREQ_UNIT_COMBO STRING "MHz"
-- Retrieval info: PRIVATE: INTENDED_DEVICE_FAMILY STRING "Cyclone III"
-- Retrieval info: PRIVATE: INT_FEEDBACK__MODE_RADIO STRING "1"
-- Retrieval info: PRIVATE: LOCKED_OUTPUT_CHECK STRING "1"
-- Retrieval info: PRIVATE: LONG_SCAN_RADIO STRING "1"
-- Retrieval info: PRIVATE: LVDS_MODE_DATA_RATE STRING "Not Available"
-- Retrieval info: PRIVATE: LVDS_MODE_DATA_RATE_DIRTY NUMERIC "0"
-- Retrieval info: PRIVATE: LVDS_PHASE_SHIFT_UNIT0 STRING "deg"
-- Retrieval info: PRIVATE: LVDS_PHASE_SHIFT_UNIT1 STRING "deg"
-- Retrieval info: PRIVATE: MIG_DEVICE_SPEED_GRADE STRING "Any"
-- Retrieval info: PRIVATE: MIRROR_CLK0 STRING "0"
-- Retrieval info: PRIVATE: MIRROR_CLK1 STRING "0"
-- Retrieval info: PRIVATE: MULT_FACTOR0 NUMERIC "1"
-- Retrieval info: PRIVATE: MULT_FACTOR1 NUMERIC "1"
-- Retrieval info: PRIVATE: NORMAL_MODE_RADIO STRING "1"
-- Retrieval info: PRIVATE: OUTPUT_FREQ0 STRING "50.00000000"
-- Retrieval info: PRIVATE: OUTPUT_FREQ1 STRING "100.00000000"
-- Retrieval info: PRIVATE: OUTPUT_FREQ_MODE0 STRING "1"
-- Retrieval info: PRIVATE: OUTPUT_FREQ_MODE1 STRING "1"
-- Retrieval info: PRIVATE: OUTPUT_FREQ_UNIT0 STRING "MHz"
-- Retrieval info: PRIVATE: OUTPUT_FREQ_UNIT1 STRING "MHz"
-- Retrieval info: PRIVATE: PHASE_RECONFIG_FEATURE_ENABLED STRING "1"
-- Retrieval info: PRIVATE: PHASE_RECONFIG_INPUTS_CHECK STRING "0"
-- Retrieval info: PRIVATE: PHASE_SHIFT0 STRING "0.00000000"
-- Retrieval info: PRIVATE: PHASE_SHIFT1 STRING "0.00000000"
-- Retrieval info: PRIVATE: PHASE_SHIFT_STEP_ENABLED_CHECK STRING "0"
-- Retrieval info: PRIVATE: PHASE_SHIFT_UNIT0 STRING "deg"
-- Retrieval info: PRIVATE: PHASE_SHIFT_UNIT1 STRING "deg"
-- Retrieval info: PRIVATE: PLL_ADVANCED_PARAM_CHECK STRING "0"
-- Retrieval info: PRIVATE: PLL_ARESET_CHECK STRING "0"
-- Retrieval info: PRIVATE: PLL_AUTOPLL_CHECK NUMERIC "1"
-- Retrieval info: PRIVATE: PLL_ENHPLL_CHECK NUMERIC "0"
-- Retrieval info: PRIVATE: PLL_FASTPLL_CHECK NUMERIC "0"
-- Retrieval info: PRIVATE: PLL_FBMIMIC_CHECK STRING "0"
-- Retrieval info: PRIVATE: PLL_LVDS_PLL_CHECK NUMERIC "0"
-- Retrieval info: PRIVATE: PLL_PFDENA_CHECK STRING "0"
-- Retrieval info: PRIVATE: PLL_TARGET_HARCOPY_CHECK NUMERIC "0"
-- Retrieval info: PRIVATE: PRIMARY_CLK_COMBO STRING "inclk0"
-- Retrieval info: PRIVATE: RECONFIG_FILE STRING "altpll0.mif"
-- Retrieval info: PRIVATE: SACN_INPUTS_CHECK STRING "0"
-- Retrieval info: PRIVATE: SCAN_FEATURE_ENABLED STRING "1"
-- Retrieval info: PRIVATE: SELF_RESET_LOCK_LOSS STRING "0"
-- Retrieval info: PRIVATE: SHORT_SCAN_RADIO STRING "0"
-- Retrieval info: PRIVATE: SPREAD_FEATURE_ENABLED STRING "0"
-- Retrieval info: PRIVATE: SPREAD_FREQ STRING "50.000"
-- Retrieval info: PRIVATE: SPREAD_FREQ_UNIT STRING "KHz"
-- Retrieval info: PRIVATE: SPREAD_PERCENT STRING "0.500"
-- Retrieval info: PRIVATE: SPREAD_USE STRING "0"
-- Retrieval info: PRIVATE: SRC_SYNCH_COMP_RADIO STRING "0"
-- Retrieval info: PRIVATE: STICKY_CLK0 STRING "1"
-- Retrieval info: PRIVATE: STICKY_CLK1 STRING "1"
-- Retrieval info: PRIVATE: SWITCHOVER_COUNT_EDIT NUMERIC "1"
-- Retrieval info: PRIVATE: SWITCHOVER_FEATURE_ENABLED STRING "1"
-- Retrieval info: PRIVATE: SYNTH_WRAPPER_GEN_POSTFIX STRING "0"
-- Retrieval info: PRIVATE: USE_CLK0 STRING "1"
-- Retrieval info: PRIVATE: USE_CLK1 STRING "1"
-- Retrieval info: PRIVATE: USE_CLKENA0 STRING "0"
-- Retrieval info: PRIVATE: USE_CLKENA1 STRING "0"
-- Retrieval info: PRIVATE: USE_MIL_SPEED_GRADE NUMERIC "0"
-- Retrieval info: PRIVATE: ZERO_DELAY_RADIO STRING "0"
-- Retrieval info: LIBRARY: altera_mf altera_mf.altera_mf_components.all
-- Retrieval info: CONSTANT: BANDWIDTH_TYPE STRING "AUTO"
-- Retrieval info: CONSTANT: CLK0_DIVIDE_BY NUMERIC "1"
-- Retrieval info: CONSTANT: CLK0_DUTY_CYCLE NUMERIC "50"
-- Retrieval info: CONSTANT: CLK0_MULTIPLY_BY NUMERIC "1"
-- Retrieval info: CONSTANT: CLK0_PHASE_SHIFT STRING "0"
-- Retrieval info: CONSTANT: CLK1_DIVIDE_BY NUMERIC "1"
-- Retrieval info: CONSTANT: CLK1_DUTY_CYCLE NUMERIC "50"
-- Retrieval info: CONSTANT: CLK1_MULTIPLY_BY NUMERIC "2"
-- Retrieval info: CONSTANT: CLK1_PHASE_SHIFT STRING "0"
-- Retrieval info: CONSTANT: COMPENSATE_CLOCK STRING "CLK0"
-- Retrieval info: CONSTANT: INCLK0_INPUT_FREQUENCY NUMERIC "20000"
-- Retrieval info: CONSTANT: INTENDED_DEVICE_FAMILY STRING "Cyclone III"
-- Retrieval info: CONSTANT: LPM_TYPE STRING "altpll"
-- Retrieval info: CONSTANT: OPERATION_MODE STRING "NORMAL"
-- Retrieval info: CONSTANT: PLL_TYPE STRING "AUTO"
-- Retrieval info: CONSTANT: PORT_ACTIVECLOCK STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_ARESET STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CLKBAD0 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CLKBAD1 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CLKLOSS STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CLKSWITCH STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CONFIGUPDATE STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_FBIN STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_INCLK0 STRING "PORT_USED"
-- Retrieval info: CONSTANT: PORT_INCLK1 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_LOCKED STRING "PORT_USED"
-- Retrieval info: CONSTANT: PORT_PFDENA STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PHASECOUNTERSELECT STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PHASEDONE STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PHASESTEP STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PHASEUPDOWN STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PLLENA STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANACLR STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANCLK STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANCLKENA STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANDATA STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANDATAOUT STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANDONE STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANREAD STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANWRITE STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clk0 STRING "PORT_USED"
-- Retrieval info: CONSTANT: PORT_clk1 STRING "PORT_USED"
-- Retrieval info: CONSTANT: PORT_clk2 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clk3 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clk4 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clk5 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena0 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena1 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena2 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena3 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena4 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena5 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_extclk0 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_extclk1 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_extclk2 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_extclk3 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: SELF_RESET_ON_LOSS_LOCK STRING "OFF"
-- Retrieval info: CONSTANT: WIDTH_CLOCK NUMERIC "5"
-- Retrieval info: USED_PORT: @clk 0 0 5 0 OUTPUT_CLK_EXT VCC "@clk[4..0]"
-- Retrieval info: USED_PORT: @inclk 0 0 2 0 INPUT_CLK_EXT VCC "@inclk[1..0]"
-- Retrieval info: USED_PORT: c0 0 0 0 0 OUTPUT_CLK_EXT VCC "c0"
-- Retrieval info: USED_PORT: c1 0 0 0 0 OUTPUT_CLK_EXT VCC "c1"
-- Retrieval info: USED_PORT: inclk0 0 0 0 0 INPUT_CLK_EXT GND "inclk0"
-- Retrieval info: USED_PORT: locked 0 0 0 0 OUTPUT GND "locked"
-- Retrieval info: CONNECT: @inclk 0 0 1 1 GND 0 0 0 0
-- Retrieval info: CONNECT: @inclk 0 0 1 0 inclk0 0 0 0 0
-- Retrieval info: CONNECT: c0 0 0 0 0 @clk 0 0 1 0
-- Retrieval info: CONNECT: c1 0 0 0 0 @clk 0 0 1 1
-- Retrieval info: CONNECT: locked 0 0 0 0 @locked 0 0 0 0
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.vhd TRUE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.ppf TRUE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.inc FALSE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.cmp TRUE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.bsf TRUE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0_inst.vhd FALSE
-- Retrieval info: LIB_FILE: altera_mf
-- Retrieval info: CBX_MODULE_PREFIX: ON
|
-- megafunction wizard: %ALTPLL%
-- GENERATION: STANDARD
-- VERSION: WM1.0
-- MODULE: altpll
-- ============================================================
-- File Name: altpll0.vhd
-- Megafunction Name(s):
-- altpll
--
-- Simulation Library Files(s):
-- altera_mf
-- ============================================================
-- ************************************************************
-- THIS IS A WIZARD-GENERATED FILE. DO NOT EDIT THIS FILE!
--
-- 11.0 Build 208 07/03/2011 SP 1 SJ Web Edition
-- ************************************************************
--Copyright (C) 1991-2011 Altera Corporation
--Your use of Altera Corporation's design tools, logic functions
--and other software and tools, and its AMPP partner logic
--functions, and any output files from any of the foregoing
--(including device programming or simulation files), and any
--associated documentation or information are expressly subject
--to the terms and conditions of the Altera Program License
--Subscription Agreement, Altera MegaCore Function License
--Agreement, or other applicable license agreement, including,
--without limitation, that your use is for the sole purpose of
--programming logic devices manufactured by Altera and sold by
--Altera or its authorized distributors. Please refer to the
--applicable agreement for further details.
LIBRARY ieee;
USE ieee.std_logic_1164.all;
LIBRARY altera_mf;
USE altera_mf.all;
ENTITY altpll0 IS
PORT
(
inclk0 : IN STD_LOGIC := '0';
c0 : OUT STD_LOGIC ;
c1 : OUT STD_LOGIC ;
locked : OUT STD_LOGIC
);
END altpll0;
ARCHITECTURE SYN OF altpll0 IS
SIGNAL sub_wire0 : STD_LOGIC_VECTOR (4 DOWNTO 0);
SIGNAL sub_wire1 : STD_LOGIC ;
SIGNAL sub_wire2 : STD_LOGIC ;
SIGNAL sub_wire3 : STD_LOGIC ;
SIGNAL sub_wire4 : STD_LOGIC ;
SIGNAL sub_wire5 : STD_LOGIC_VECTOR (1 DOWNTO 0);
SIGNAL sub_wire6_bv : BIT_VECTOR (0 DOWNTO 0);
SIGNAL sub_wire6 : STD_LOGIC_VECTOR (0 DOWNTO 0);
COMPONENT altpll
GENERIC (
bandwidth_type : STRING;
clk0_divide_by : NATURAL;
clk0_duty_cycle : NATURAL;
clk0_multiply_by : NATURAL;
clk0_phase_shift : STRING;
clk1_divide_by : NATURAL;
clk1_duty_cycle : NATURAL;
clk1_multiply_by : NATURAL;
clk1_phase_shift : STRING;
compensate_clock : STRING;
inclk0_input_frequency : NATURAL;
intended_device_family : STRING;
lpm_hint : STRING;
lpm_type : STRING;
operation_mode : STRING;
pll_type : STRING;
port_activeclock : STRING;
port_areset : STRING;
port_clkbad0 : STRING;
port_clkbad1 : STRING;
port_clkloss : STRING;
port_clkswitch : STRING;
port_configupdate : STRING;
port_fbin : STRING;
port_inclk0 : STRING;
port_inclk1 : STRING;
port_locked : STRING;
port_pfdena : STRING;
port_phasecounterselect : STRING;
port_phasedone : STRING;
port_phasestep : STRING;
port_phaseupdown : STRING;
port_pllena : STRING;
port_scanaclr : STRING;
port_scanclk : STRING;
port_scanclkena : STRING;
port_scandata : STRING;
port_scandataout : STRING;
port_scandone : STRING;
port_scanread : STRING;
port_scanwrite : STRING;
port_clk0 : STRING;
port_clk1 : STRING;
port_clk2 : STRING;
port_clk3 : STRING;
port_clk4 : STRING;
port_clk5 : STRING;
port_clkena0 : STRING;
port_clkena1 : STRING;
port_clkena2 : STRING;
port_clkena3 : STRING;
port_clkena4 : STRING;
port_clkena5 : STRING;
port_extclk0 : STRING;
port_extclk1 : STRING;
port_extclk2 : STRING;
port_extclk3 : STRING;
self_reset_on_loss_lock : STRING;
width_clock : NATURAL
);
PORT (
clk : OUT STD_LOGIC_VECTOR (4 DOWNTO 0);
inclk : IN STD_LOGIC_VECTOR (1 DOWNTO 0);
locked : OUT STD_LOGIC
);
END COMPONENT;
BEGIN
sub_wire6_bv(0 DOWNTO 0) <= "0";
sub_wire6 <= To_stdlogicvector(sub_wire6_bv);
sub_wire3 <= sub_wire0(0);
sub_wire1 <= sub_wire0(1);
c1 <= sub_wire1;
locked <= sub_wire2;
c0 <= sub_wire3;
sub_wire4 <= inclk0;
sub_wire5 <= sub_wire6(0 DOWNTO 0) & sub_wire4;
altpll_component : altpll
GENERIC MAP (
bandwidth_type => "AUTO",
clk0_divide_by => 1,
clk0_duty_cycle => 50,
clk0_multiply_by => 1,
clk0_phase_shift => "0",
clk1_divide_by => 1,
clk1_duty_cycle => 50,
clk1_multiply_by => 2,
clk1_phase_shift => "0",
compensate_clock => "CLK0",
inclk0_input_frequency => 20000,
intended_device_family => "Cyclone III",
lpm_hint => "CBX_MODULE_PREFIX=altpll0",
lpm_type => "altpll",
operation_mode => "NORMAL",
pll_type => "AUTO",
port_activeclock => "PORT_UNUSED",
port_areset => "PORT_UNUSED",
port_clkbad0 => "PORT_UNUSED",
port_clkbad1 => "PORT_UNUSED",
port_clkloss => "PORT_UNUSED",
port_clkswitch => "PORT_UNUSED",
port_configupdate => "PORT_UNUSED",
port_fbin => "PORT_UNUSED",
port_inclk0 => "PORT_USED",
port_inclk1 => "PORT_UNUSED",
port_locked => "PORT_USED",
port_pfdena => "PORT_UNUSED",
port_phasecounterselect => "PORT_UNUSED",
port_phasedone => "PORT_UNUSED",
port_phasestep => "PORT_UNUSED",
port_phaseupdown => "PORT_UNUSED",
port_pllena => "PORT_UNUSED",
port_scanaclr => "PORT_UNUSED",
port_scanclk => "PORT_UNUSED",
port_scanclkena => "PORT_UNUSED",
port_scandata => "PORT_UNUSED",
port_scandataout => "PORT_UNUSED",
port_scandone => "PORT_UNUSED",
port_scanread => "PORT_UNUSED",
port_scanwrite => "PORT_UNUSED",
port_clk0 => "PORT_USED",
port_clk1 => "PORT_USED",
port_clk2 => "PORT_UNUSED",
port_clk3 => "PORT_UNUSED",
port_clk4 => "PORT_UNUSED",
port_clk5 => "PORT_UNUSED",
port_clkena0 => "PORT_UNUSED",
port_clkena1 => "PORT_UNUSED",
port_clkena2 => "PORT_UNUSED",
port_clkena3 => "PORT_UNUSED",
port_clkena4 => "PORT_UNUSED",
port_clkena5 => "PORT_UNUSED",
port_extclk0 => "PORT_UNUSED",
port_extclk1 => "PORT_UNUSED",
port_extclk2 => "PORT_UNUSED",
port_extclk3 => "PORT_UNUSED",
self_reset_on_loss_lock => "OFF",
width_clock => 5
)
PORT MAP (
inclk => sub_wire5,
clk => sub_wire0,
locked => sub_wire2
);
END SYN;
-- ============================================================
-- CNX file retrieval info
-- ============================================================
-- Retrieval info: PRIVATE: ACTIVECLK_CHECK STRING "0"
-- Retrieval info: PRIVATE: BANDWIDTH STRING "1.000"
-- Retrieval info: PRIVATE: BANDWIDTH_FEATURE_ENABLED STRING "1"
-- Retrieval info: PRIVATE: BANDWIDTH_FREQ_UNIT STRING "MHz"
-- Retrieval info: PRIVATE: BANDWIDTH_PRESET STRING "Low"
-- Retrieval info: PRIVATE: BANDWIDTH_USE_AUTO STRING "1"
-- Retrieval info: PRIVATE: BANDWIDTH_USE_PRESET STRING "0"
-- Retrieval info: PRIVATE: CLKBAD_SWITCHOVER_CHECK STRING "0"
-- Retrieval info: PRIVATE: CLKLOSS_CHECK STRING "0"
-- Retrieval info: PRIVATE: CLKSWITCH_CHECK STRING "0"
-- Retrieval info: PRIVATE: CNX_NO_COMPENSATE_RADIO STRING "0"
-- Retrieval info: PRIVATE: CREATE_CLKBAD_CHECK STRING "0"
-- Retrieval info: PRIVATE: CREATE_INCLK1_CHECK STRING "0"
-- Retrieval info: PRIVATE: CUR_DEDICATED_CLK STRING "c0"
-- Retrieval info: PRIVATE: CUR_FBIN_CLK STRING "c0"
-- Retrieval info: PRIVATE: DEVICE_SPEED_GRADE STRING "Any"
-- Retrieval info: PRIVATE: DIV_FACTOR0 NUMERIC "1"
-- Retrieval info: PRIVATE: DIV_FACTOR1 NUMERIC "1"
-- Retrieval info: PRIVATE: DUTY_CYCLE0 STRING "50.00000000"
-- Retrieval info: PRIVATE: DUTY_CYCLE1 STRING "50.00000000"
-- Retrieval info: PRIVATE: EFF_OUTPUT_FREQ_VALUE0 STRING "50.000000"
-- Retrieval info: PRIVATE: EFF_OUTPUT_FREQ_VALUE1 STRING "100.000000"
-- Retrieval info: PRIVATE: EXPLICIT_SWITCHOVER_COUNTER STRING "0"
-- Retrieval info: PRIVATE: EXT_FEEDBACK_RADIO STRING "0"
-- Retrieval info: PRIVATE: GLOCKED_COUNTER_EDIT_CHANGED STRING "1"
-- Retrieval info: PRIVATE: GLOCKED_FEATURE_ENABLED STRING "0"
-- Retrieval info: PRIVATE: GLOCKED_MODE_CHECK STRING "0"
-- Retrieval info: PRIVATE: GLOCK_COUNTER_EDIT NUMERIC "1048575"
-- Retrieval info: PRIVATE: HAS_MANUAL_SWITCHOVER STRING "1"
-- Retrieval info: PRIVATE: INCLK0_FREQ_EDIT STRING "50.000"
-- Retrieval info: PRIVATE: INCLK0_FREQ_UNIT_COMBO STRING "MHz"
-- Retrieval info: PRIVATE: INCLK1_FREQ_EDIT STRING "100.000"
-- Retrieval info: PRIVATE: INCLK1_FREQ_EDIT_CHANGED STRING "1"
-- Retrieval info: PRIVATE: INCLK1_FREQ_UNIT_CHANGED STRING "1"
-- Retrieval info: PRIVATE: INCLK1_FREQ_UNIT_COMBO STRING "MHz"
-- Retrieval info: PRIVATE: INTENDED_DEVICE_FAMILY STRING "Cyclone III"
-- Retrieval info: PRIVATE: INT_FEEDBACK__MODE_RADIO STRING "1"
-- Retrieval info: PRIVATE: LOCKED_OUTPUT_CHECK STRING "1"
-- Retrieval info: PRIVATE: LONG_SCAN_RADIO STRING "1"
-- Retrieval info: PRIVATE: LVDS_MODE_DATA_RATE STRING "Not Available"
-- Retrieval info: PRIVATE: LVDS_MODE_DATA_RATE_DIRTY NUMERIC "0"
-- Retrieval info: PRIVATE: LVDS_PHASE_SHIFT_UNIT0 STRING "deg"
-- Retrieval info: PRIVATE: LVDS_PHASE_SHIFT_UNIT1 STRING "deg"
-- Retrieval info: PRIVATE: MIG_DEVICE_SPEED_GRADE STRING "Any"
-- Retrieval info: PRIVATE: MIRROR_CLK0 STRING "0"
-- Retrieval info: PRIVATE: MIRROR_CLK1 STRING "0"
-- Retrieval info: PRIVATE: MULT_FACTOR0 NUMERIC "1"
-- Retrieval info: PRIVATE: MULT_FACTOR1 NUMERIC "1"
-- Retrieval info: PRIVATE: NORMAL_MODE_RADIO STRING "1"
-- Retrieval info: PRIVATE: OUTPUT_FREQ0 STRING "50.00000000"
-- Retrieval info: PRIVATE: OUTPUT_FREQ1 STRING "100.00000000"
-- Retrieval info: PRIVATE: OUTPUT_FREQ_MODE0 STRING "1"
-- Retrieval info: PRIVATE: OUTPUT_FREQ_MODE1 STRING "1"
-- Retrieval info: PRIVATE: OUTPUT_FREQ_UNIT0 STRING "MHz"
-- Retrieval info: PRIVATE: OUTPUT_FREQ_UNIT1 STRING "MHz"
-- Retrieval info: PRIVATE: PHASE_RECONFIG_FEATURE_ENABLED STRING "1"
-- Retrieval info: PRIVATE: PHASE_RECONFIG_INPUTS_CHECK STRING "0"
-- Retrieval info: PRIVATE: PHASE_SHIFT0 STRING "0.00000000"
-- Retrieval info: PRIVATE: PHASE_SHIFT1 STRING "0.00000000"
-- Retrieval info: PRIVATE: PHASE_SHIFT_STEP_ENABLED_CHECK STRING "0"
-- Retrieval info: PRIVATE: PHASE_SHIFT_UNIT0 STRING "deg"
-- Retrieval info: PRIVATE: PHASE_SHIFT_UNIT1 STRING "deg"
-- Retrieval info: PRIVATE: PLL_ADVANCED_PARAM_CHECK STRING "0"
-- Retrieval info: PRIVATE: PLL_ARESET_CHECK STRING "0"
-- Retrieval info: PRIVATE: PLL_AUTOPLL_CHECK NUMERIC "1"
-- Retrieval info: PRIVATE: PLL_ENHPLL_CHECK NUMERIC "0"
-- Retrieval info: PRIVATE: PLL_FASTPLL_CHECK NUMERIC "0"
-- Retrieval info: PRIVATE: PLL_FBMIMIC_CHECK STRING "0"
-- Retrieval info: PRIVATE: PLL_LVDS_PLL_CHECK NUMERIC "0"
-- Retrieval info: PRIVATE: PLL_PFDENA_CHECK STRING "0"
-- Retrieval info: PRIVATE: PLL_TARGET_HARCOPY_CHECK NUMERIC "0"
-- Retrieval info: PRIVATE: PRIMARY_CLK_COMBO STRING "inclk0"
-- Retrieval info: PRIVATE: RECONFIG_FILE STRING "altpll0.mif"
-- Retrieval info: PRIVATE: SACN_INPUTS_CHECK STRING "0"
-- Retrieval info: PRIVATE: SCAN_FEATURE_ENABLED STRING "1"
-- Retrieval info: PRIVATE: SELF_RESET_LOCK_LOSS STRING "0"
-- Retrieval info: PRIVATE: SHORT_SCAN_RADIO STRING "0"
-- Retrieval info: PRIVATE: SPREAD_FEATURE_ENABLED STRING "0"
-- Retrieval info: PRIVATE: SPREAD_FREQ STRING "50.000"
-- Retrieval info: PRIVATE: SPREAD_FREQ_UNIT STRING "KHz"
-- Retrieval info: PRIVATE: SPREAD_PERCENT STRING "0.500"
-- Retrieval info: PRIVATE: SPREAD_USE STRING "0"
-- Retrieval info: PRIVATE: SRC_SYNCH_COMP_RADIO STRING "0"
-- Retrieval info: PRIVATE: STICKY_CLK0 STRING "1"
-- Retrieval info: PRIVATE: STICKY_CLK1 STRING "1"
-- Retrieval info: PRIVATE: SWITCHOVER_COUNT_EDIT NUMERIC "1"
-- Retrieval info: PRIVATE: SWITCHOVER_FEATURE_ENABLED STRING "1"
-- Retrieval info: PRIVATE: SYNTH_WRAPPER_GEN_POSTFIX STRING "0"
-- Retrieval info: PRIVATE: USE_CLK0 STRING "1"
-- Retrieval info: PRIVATE: USE_CLK1 STRING "1"
-- Retrieval info: PRIVATE: USE_CLKENA0 STRING "0"
-- Retrieval info: PRIVATE: USE_CLKENA1 STRING "0"
-- Retrieval info: PRIVATE: USE_MIL_SPEED_GRADE NUMERIC "0"
-- Retrieval info: PRIVATE: ZERO_DELAY_RADIO STRING "0"
-- Retrieval info: LIBRARY: altera_mf altera_mf.altera_mf_components.all
-- Retrieval info: CONSTANT: BANDWIDTH_TYPE STRING "AUTO"
-- Retrieval info: CONSTANT: CLK0_DIVIDE_BY NUMERIC "1"
-- Retrieval info: CONSTANT: CLK0_DUTY_CYCLE NUMERIC "50"
-- Retrieval info: CONSTANT: CLK0_MULTIPLY_BY NUMERIC "1"
-- Retrieval info: CONSTANT: CLK0_PHASE_SHIFT STRING "0"
-- Retrieval info: CONSTANT: CLK1_DIVIDE_BY NUMERIC "1"
-- Retrieval info: CONSTANT: CLK1_DUTY_CYCLE NUMERIC "50"
-- Retrieval info: CONSTANT: CLK1_MULTIPLY_BY NUMERIC "2"
-- Retrieval info: CONSTANT: CLK1_PHASE_SHIFT STRING "0"
-- Retrieval info: CONSTANT: COMPENSATE_CLOCK STRING "CLK0"
-- Retrieval info: CONSTANT: INCLK0_INPUT_FREQUENCY NUMERIC "20000"
-- Retrieval info: CONSTANT: INTENDED_DEVICE_FAMILY STRING "Cyclone III"
-- Retrieval info: CONSTANT: LPM_TYPE STRING "altpll"
-- Retrieval info: CONSTANT: OPERATION_MODE STRING "NORMAL"
-- Retrieval info: CONSTANT: PLL_TYPE STRING "AUTO"
-- Retrieval info: CONSTANT: PORT_ACTIVECLOCK STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_ARESET STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CLKBAD0 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CLKBAD1 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CLKLOSS STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CLKSWITCH STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CONFIGUPDATE STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_FBIN STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_INCLK0 STRING "PORT_USED"
-- Retrieval info: CONSTANT: PORT_INCLK1 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_LOCKED STRING "PORT_USED"
-- Retrieval info: CONSTANT: PORT_PFDENA STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PHASECOUNTERSELECT STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PHASEDONE STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PHASESTEP STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PHASEUPDOWN STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PLLENA STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANACLR STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANCLK STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANCLKENA STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANDATA STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANDATAOUT STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANDONE STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANREAD STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANWRITE STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clk0 STRING "PORT_USED"
-- Retrieval info: CONSTANT: PORT_clk1 STRING "PORT_USED"
-- Retrieval info: CONSTANT: PORT_clk2 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clk3 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clk4 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clk5 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena0 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena1 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena2 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena3 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena4 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena5 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_extclk0 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_extclk1 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_extclk2 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_extclk3 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: SELF_RESET_ON_LOSS_LOCK STRING "OFF"
-- Retrieval info: CONSTANT: WIDTH_CLOCK NUMERIC "5"
-- Retrieval info: USED_PORT: @clk 0 0 5 0 OUTPUT_CLK_EXT VCC "@clk[4..0]"
-- Retrieval info: USED_PORT: @inclk 0 0 2 0 INPUT_CLK_EXT VCC "@inclk[1..0]"
-- Retrieval info: USED_PORT: c0 0 0 0 0 OUTPUT_CLK_EXT VCC "c0"
-- Retrieval info: USED_PORT: c1 0 0 0 0 OUTPUT_CLK_EXT VCC "c1"
-- Retrieval info: USED_PORT: inclk0 0 0 0 0 INPUT_CLK_EXT GND "inclk0"
-- Retrieval info: USED_PORT: locked 0 0 0 0 OUTPUT GND "locked"
-- Retrieval info: CONNECT: @inclk 0 0 1 1 GND 0 0 0 0
-- Retrieval info: CONNECT: @inclk 0 0 1 0 inclk0 0 0 0 0
-- Retrieval info: CONNECT: c0 0 0 0 0 @clk 0 0 1 0
-- Retrieval info: CONNECT: c1 0 0 0 0 @clk 0 0 1 1
-- Retrieval info: CONNECT: locked 0 0 0 0 @locked 0 0 0 0
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.vhd TRUE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.ppf TRUE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.inc FALSE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.cmp TRUE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.bsf TRUE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0_inst.vhd FALSE
-- Retrieval info: LIB_FILE: altera_mf
-- Retrieval info: CBX_MODULE_PREFIX: ON
|
-- megafunction wizard: %ALTPLL%
-- GENERATION: STANDARD
-- VERSION: WM1.0
-- MODULE: altpll
-- ============================================================
-- File Name: altpll0.vhd
-- Megafunction Name(s):
-- altpll
--
-- Simulation Library Files(s):
-- altera_mf
-- ============================================================
-- ************************************************************
-- THIS IS A WIZARD-GENERATED FILE. DO NOT EDIT THIS FILE!
--
-- 11.0 Build 208 07/03/2011 SP 1 SJ Web Edition
-- ************************************************************
--Copyright (C) 1991-2011 Altera Corporation
--Your use of Altera Corporation's design tools, logic functions
--and other software and tools, and its AMPP partner logic
--functions, and any output files from any of the foregoing
--(including device programming or simulation files), and any
--associated documentation or information are expressly subject
--to the terms and conditions of the Altera Program License
--Subscription Agreement, Altera MegaCore Function License
--Agreement, or other applicable license agreement, including,
--without limitation, that your use is for the sole purpose of
--programming logic devices manufactured by Altera and sold by
--Altera or its authorized distributors. Please refer to the
--applicable agreement for further details.
LIBRARY ieee;
USE ieee.std_logic_1164.all;
LIBRARY altera_mf;
USE altera_mf.all;
ENTITY altpll0 IS
PORT
(
inclk0 : IN STD_LOGIC := '0';
c0 : OUT STD_LOGIC ;
c1 : OUT STD_LOGIC ;
locked : OUT STD_LOGIC
);
END altpll0;
ARCHITECTURE SYN OF altpll0 IS
SIGNAL sub_wire0 : STD_LOGIC_VECTOR (4 DOWNTO 0);
SIGNAL sub_wire1 : STD_LOGIC ;
SIGNAL sub_wire2 : STD_LOGIC ;
SIGNAL sub_wire3 : STD_LOGIC ;
SIGNAL sub_wire4 : STD_LOGIC ;
SIGNAL sub_wire5 : STD_LOGIC_VECTOR (1 DOWNTO 0);
SIGNAL sub_wire6_bv : BIT_VECTOR (0 DOWNTO 0);
SIGNAL sub_wire6 : STD_LOGIC_VECTOR (0 DOWNTO 0);
COMPONENT altpll
GENERIC (
bandwidth_type : STRING;
clk0_divide_by : NATURAL;
clk0_duty_cycle : NATURAL;
clk0_multiply_by : NATURAL;
clk0_phase_shift : STRING;
clk1_divide_by : NATURAL;
clk1_duty_cycle : NATURAL;
clk1_multiply_by : NATURAL;
clk1_phase_shift : STRING;
compensate_clock : STRING;
inclk0_input_frequency : NATURAL;
intended_device_family : STRING;
lpm_hint : STRING;
lpm_type : STRING;
operation_mode : STRING;
pll_type : STRING;
port_activeclock : STRING;
port_areset : STRING;
port_clkbad0 : STRING;
port_clkbad1 : STRING;
port_clkloss : STRING;
port_clkswitch : STRING;
port_configupdate : STRING;
port_fbin : STRING;
port_inclk0 : STRING;
port_inclk1 : STRING;
port_locked : STRING;
port_pfdena : STRING;
port_phasecounterselect : STRING;
port_phasedone : STRING;
port_phasestep : STRING;
port_phaseupdown : STRING;
port_pllena : STRING;
port_scanaclr : STRING;
port_scanclk : STRING;
port_scanclkena : STRING;
port_scandata : STRING;
port_scandataout : STRING;
port_scandone : STRING;
port_scanread : STRING;
port_scanwrite : STRING;
port_clk0 : STRING;
port_clk1 : STRING;
port_clk2 : STRING;
port_clk3 : STRING;
port_clk4 : STRING;
port_clk5 : STRING;
port_clkena0 : STRING;
port_clkena1 : STRING;
port_clkena2 : STRING;
port_clkena3 : STRING;
port_clkena4 : STRING;
port_clkena5 : STRING;
port_extclk0 : STRING;
port_extclk1 : STRING;
port_extclk2 : STRING;
port_extclk3 : STRING;
self_reset_on_loss_lock : STRING;
width_clock : NATURAL
);
PORT (
clk : OUT STD_LOGIC_VECTOR (4 DOWNTO 0);
inclk : IN STD_LOGIC_VECTOR (1 DOWNTO 0);
locked : OUT STD_LOGIC
);
END COMPONENT;
BEGIN
sub_wire6_bv(0 DOWNTO 0) <= "0";
sub_wire6 <= To_stdlogicvector(sub_wire6_bv);
sub_wire3 <= sub_wire0(0);
sub_wire1 <= sub_wire0(1);
c1 <= sub_wire1;
locked <= sub_wire2;
c0 <= sub_wire3;
sub_wire4 <= inclk0;
sub_wire5 <= sub_wire6(0 DOWNTO 0) & sub_wire4;
altpll_component : altpll
GENERIC MAP (
bandwidth_type => "AUTO",
clk0_divide_by => 1,
clk0_duty_cycle => 50,
clk0_multiply_by => 1,
clk0_phase_shift => "0",
clk1_divide_by => 1,
clk1_duty_cycle => 50,
clk1_multiply_by => 2,
clk1_phase_shift => "0",
compensate_clock => "CLK0",
inclk0_input_frequency => 20000,
intended_device_family => "Cyclone III",
lpm_hint => "CBX_MODULE_PREFIX=altpll0",
lpm_type => "altpll",
operation_mode => "NORMAL",
pll_type => "AUTO",
port_activeclock => "PORT_UNUSED",
port_areset => "PORT_UNUSED",
port_clkbad0 => "PORT_UNUSED",
port_clkbad1 => "PORT_UNUSED",
port_clkloss => "PORT_UNUSED",
port_clkswitch => "PORT_UNUSED",
port_configupdate => "PORT_UNUSED",
port_fbin => "PORT_UNUSED",
port_inclk0 => "PORT_USED",
port_inclk1 => "PORT_UNUSED",
port_locked => "PORT_USED",
port_pfdena => "PORT_UNUSED",
port_phasecounterselect => "PORT_UNUSED",
port_phasedone => "PORT_UNUSED",
port_phasestep => "PORT_UNUSED",
port_phaseupdown => "PORT_UNUSED",
port_pllena => "PORT_UNUSED",
port_scanaclr => "PORT_UNUSED",
port_scanclk => "PORT_UNUSED",
port_scanclkena => "PORT_UNUSED",
port_scandata => "PORT_UNUSED",
port_scandataout => "PORT_UNUSED",
port_scandone => "PORT_UNUSED",
port_scanread => "PORT_UNUSED",
port_scanwrite => "PORT_UNUSED",
port_clk0 => "PORT_USED",
port_clk1 => "PORT_USED",
port_clk2 => "PORT_UNUSED",
port_clk3 => "PORT_UNUSED",
port_clk4 => "PORT_UNUSED",
port_clk5 => "PORT_UNUSED",
port_clkena0 => "PORT_UNUSED",
port_clkena1 => "PORT_UNUSED",
port_clkena2 => "PORT_UNUSED",
port_clkena3 => "PORT_UNUSED",
port_clkena4 => "PORT_UNUSED",
port_clkena5 => "PORT_UNUSED",
port_extclk0 => "PORT_UNUSED",
port_extclk1 => "PORT_UNUSED",
port_extclk2 => "PORT_UNUSED",
port_extclk3 => "PORT_UNUSED",
self_reset_on_loss_lock => "OFF",
width_clock => 5
)
PORT MAP (
inclk => sub_wire5,
clk => sub_wire0,
locked => sub_wire2
);
END SYN;
-- ============================================================
-- CNX file retrieval info
-- ============================================================
-- Retrieval info: PRIVATE: ACTIVECLK_CHECK STRING "0"
-- Retrieval info: PRIVATE: BANDWIDTH STRING "1.000"
-- Retrieval info: PRIVATE: BANDWIDTH_FEATURE_ENABLED STRING "1"
-- Retrieval info: PRIVATE: BANDWIDTH_FREQ_UNIT STRING "MHz"
-- Retrieval info: PRIVATE: BANDWIDTH_PRESET STRING "Low"
-- Retrieval info: PRIVATE: BANDWIDTH_USE_AUTO STRING "1"
-- Retrieval info: PRIVATE: BANDWIDTH_USE_PRESET STRING "0"
-- Retrieval info: PRIVATE: CLKBAD_SWITCHOVER_CHECK STRING "0"
-- Retrieval info: PRIVATE: CLKLOSS_CHECK STRING "0"
-- Retrieval info: PRIVATE: CLKSWITCH_CHECK STRING "0"
-- Retrieval info: PRIVATE: CNX_NO_COMPENSATE_RADIO STRING "0"
-- Retrieval info: PRIVATE: CREATE_CLKBAD_CHECK STRING "0"
-- Retrieval info: PRIVATE: CREATE_INCLK1_CHECK STRING "0"
-- Retrieval info: PRIVATE: CUR_DEDICATED_CLK STRING "c0"
-- Retrieval info: PRIVATE: CUR_FBIN_CLK STRING "c0"
-- Retrieval info: PRIVATE: DEVICE_SPEED_GRADE STRING "Any"
-- Retrieval info: PRIVATE: DIV_FACTOR0 NUMERIC "1"
-- Retrieval info: PRIVATE: DIV_FACTOR1 NUMERIC "1"
-- Retrieval info: PRIVATE: DUTY_CYCLE0 STRING "50.00000000"
-- Retrieval info: PRIVATE: DUTY_CYCLE1 STRING "50.00000000"
-- Retrieval info: PRIVATE: EFF_OUTPUT_FREQ_VALUE0 STRING "50.000000"
-- Retrieval info: PRIVATE: EFF_OUTPUT_FREQ_VALUE1 STRING "100.000000"
-- Retrieval info: PRIVATE: EXPLICIT_SWITCHOVER_COUNTER STRING "0"
-- Retrieval info: PRIVATE: EXT_FEEDBACK_RADIO STRING "0"
-- Retrieval info: PRIVATE: GLOCKED_COUNTER_EDIT_CHANGED STRING "1"
-- Retrieval info: PRIVATE: GLOCKED_FEATURE_ENABLED STRING "0"
-- Retrieval info: PRIVATE: GLOCKED_MODE_CHECK STRING "0"
-- Retrieval info: PRIVATE: GLOCK_COUNTER_EDIT NUMERIC "1048575"
-- Retrieval info: PRIVATE: HAS_MANUAL_SWITCHOVER STRING "1"
-- Retrieval info: PRIVATE: INCLK0_FREQ_EDIT STRING "50.000"
-- Retrieval info: PRIVATE: INCLK0_FREQ_UNIT_COMBO STRING "MHz"
-- Retrieval info: PRIVATE: INCLK1_FREQ_EDIT STRING "100.000"
-- Retrieval info: PRIVATE: INCLK1_FREQ_EDIT_CHANGED STRING "1"
-- Retrieval info: PRIVATE: INCLK1_FREQ_UNIT_CHANGED STRING "1"
-- Retrieval info: PRIVATE: INCLK1_FREQ_UNIT_COMBO STRING "MHz"
-- Retrieval info: PRIVATE: INTENDED_DEVICE_FAMILY STRING "Cyclone III"
-- Retrieval info: PRIVATE: INT_FEEDBACK__MODE_RADIO STRING "1"
-- Retrieval info: PRIVATE: LOCKED_OUTPUT_CHECK STRING "1"
-- Retrieval info: PRIVATE: LONG_SCAN_RADIO STRING "1"
-- Retrieval info: PRIVATE: LVDS_MODE_DATA_RATE STRING "Not Available"
-- Retrieval info: PRIVATE: LVDS_MODE_DATA_RATE_DIRTY NUMERIC "0"
-- Retrieval info: PRIVATE: LVDS_PHASE_SHIFT_UNIT0 STRING "deg"
-- Retrieval info: PRIVATE: LVDS_PHASE_SHIFT_UNIT1 STRING "deg"
-- Retrieval info: PRIVATE: MIG_DEVICE_SPEED_GRADE STRING "Any"
-- Retrieval info: PRIVATE: MIRROR_CLK0 STRING "0"
-- Retrieval info: PRIVATE: MIRROR_CLK1 STRING "0"
-- Retrieval info: PRIVATE: MULT_FACTOR0 NUMERIC "1"
-- Retrieval info: PRIVATE: MULT_FACTOR1 NUMERIC "1"
-- Retrieval info: PRIVATE: NORMAL_MODE_RADIO STRING "1"
-- Retrieval info: PRIVATE: OUTPUT_FREQ0 STRING "50.00000000"
-- Retrieval info: PRIVATE: OUTPUT_FREQ1 STRING "100.00000000"
-- Retrieval info: PRIVATE: OUTPUT_FREQ_MODE0 STRING "1"
-- Retrieval info: PRIVATE: OUTPUT_FREQ_MODE1 STRING "1"
-- Retrieval info: PRIVATE: OUTPUT_FREQ_UNIT0 STRING "MHz"
-- Retrieval info: PRIVATE: OUTPUT_FREQ_UNIT1 STRING "MHz"
-- Retrieval info: PRIVATE: PHASE_RECONFIG_FEATURE_ENABLED STRING "1"
-- Retrieval info: PRIVATE: PHASE_RECONFIG_INPUTS_CHECK STRING "0"
-- Retrieval info: PRIVATE: PHASE_SHIFT0 STRING "0.00000000"
-- Retrieval info: PRIVATE: PHASE_SHIFT1 STRING "0.00000000"
-- Retrieval info: PRIVATE: PHASE_SHIFT_STEP_ENABLED_CHECK STRING "0"
-- Retrieval info: PRIVATE: PHASE_SHIFT_UNIT0 STRING "deg"
-- Retrieval info: PRIVATE: PHASE_SHIFT_UNIT1 STRING "deg"
-- Retrieval info: PRIVATE: PLL_ADVANCED_PARAM_CHECK STRING "0"
-- Retrieval info: PRIVATE: PLL_ARESET_CHECK STRING "0"
-- Retrieval info: PRIVATE: PLL_AUTOPLL_CHECK NUMERIC "1"
-- Retrieval info: PRIVATE: PLL_ENHPLL_CHECK NUMERIC "0"
-- Retrieval info: PRIVATE: PLL_FASTPLL_CHECK NUMERIC "0"
-- Retrieval info: PRIVATE: PLL_FBMIMIC_CHECK STRING "0"
-- Retrieval info: PRIVATE: PLL_LVDS_PLL_CHECK NUMERIC "0"
-- Retrieval info: PRIVATE: PLL_PFDENA_CHECK STRING "0"
-- Retrieval info: PRIVATE: PLL_TARGET_HARCOPY_CHECK NUMERIC "0"
-- Retrieval info: PRIVATE: PRIMARY_CLK_COMBO STRING "inclk0"
-- Retrieval info: PRIVATE: RECONFIG_FILE STRING "altpll0.mif"
-- Retrieval info: PRIVATE: SACN_INPUTS_CHECK STRING "0"
-- Retrieval info: PRIVATE: SCAN_FEATURE_ENABLED STRING "1"
-- Retrieval info: PRIVATE: SELF_RESET_LOCK_LOSS STRING "0"
-- Retrieval info: PRIVATE: SHORT_SCAN_RADIO STRING "0"
-- Retrieval info: PRIVATE: SPREAD_FEATURE_ENABLED STRING "0"
-- Retrieval info: PRIVATE: SPREAD_FREQ STRING "50.000"
-- Retrieval info: PRIVATE: SPREAD_FREQ_UNIT STRING "KHz"
-- Retrieval info: PRIVATE: SPREAD_PERCENT STRING "0.500"
-- Retrieval info: PRIVATE: SPREAD_USE STRING "0"
-- Retrieval info: PRIVATE: SRC_SYNCH_COMP_RADIO STRING "0"
-- Retrieval info: PRIVATE: STICKY_CLK0 STRING "1"
-- Retrieval info: PRIVATE: STICKY_CLK1 STRING "1"
-- Retrieval info: PRIVATE: SWITCHOVER_COUNT_EDIT NUMERIC "1"
-- Retrieval info: PRIVATE: SWITCHOVER_FEATURE_ENABLED STRING "1"
-- Retrieval info: PRIVATE: SYNTH_WRAPPER_GEN_POSTFIX STRING "0"
-- Retrieval info: PRIVATE: USE_CLK0 STRING "1"
-- Retrieval info: PRIVATE: USE_CLK1 STRING "1"
-- Retrieval info: PRIVATE: USE_CLKENA0 STRING "0"
-- Retrieval info: PRIVATE: USE_CLKENA1 STRING "0"
-- Retrieval info: PRIVATE: USE_MIL_SPEED_GRADE NUMERIC "0"
-- Retrieval info: PRIVATE: ZERO_DELAY_RADIO STRING "0"
-- Retrieval info: LIBRARY: altera_mf altera_mf.altera_mf_components.all
-- Retrieval info: CONSTANT: BANDWIDTH_TYPE STRING "AUTO"
-- Retrieval info: CONSTANT: CLK0_DIVIDE_BY NUMERIC "1"
-- Retrieval info: CONSTANT: CLK0_DUTY_CYCLE NUMERIC "50"
-- Retrieval info: CONSTANT: CLK0_MULTIPLY_BY NUMERIC "1"
-- Retrieval info: CONSTANT: CLK0_PHASE_SHIFT STRING "0"
-- Retrieval info: CONSTANT: CLK1_DIVIDE_BY NUMERIC "1"
-- Retrieval info: CONSTANT: CLK1_DUTY_CYCLE NUMERIC "50"
-- Retrieval info: CONSTANT: CLK1_MULTIPLY_BY NUMERIC "2"
-- Retrieval info: CONSTANT: CLK1_PHASE_SHIFT STRING "0"
-- Retrieval info: CONSTANT: COMPENSATE_CLOCK STRING "CLK0"
-- Retrieval info: CONSTANT: INCLK0_INPUT_FREQUENCY NUMERIC "20000"
-- Retrieval info: CONSTANT: INTENDED_DEVICE_FAMILY STRING "Cyclone III"
-- Retrieval info: CONSTANT: LPM_TYPE STRING "altpll"
-- Retrieval info: CONSTANT: OPERATION_MODE STRING "NORMAL"
-- Retrieval info: CONSTANT: PLL_TYPE STRING "AUTO"
-- Retrieval info: CONSTANT: PORT_ACTIVECLOCK STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_ARESET STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CLKBAD0 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CLKBAD1 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CLKLOSS STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CLKSWITCH STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_CONFIGUPDATE STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_FBIN STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_INCLK0 STRING "PORT_USED"
-- Retrieval info: CONSTANT: PORT_INCLK1 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_LOCKED STRING "PORT_USED"
-- Retrieval info: CONSTANT: PORT_PFDENA STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PHASECOUNTERSELECT STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PHASEDONE STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PHASESTEP STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PHASEUPDOWN STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_PLLENA STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANACLR STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANCLK STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANCLKENA STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANDATA STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANDATAOUT STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANDONE STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANREAD STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_SCANWRITE STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clk0 STRING "PORT_USED"
-- Retrieval info: CONSTANT: PORT_clk1 STRING "PORT_USED"
-- Retrieval info: CONSTANT: PORT_clk2 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clk3 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clk4 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clk5 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena0 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena1 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena2 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena3 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena4 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_clkena5 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_extclk0 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_extclk1 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_extclk2 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: PORT_extclk3 STRING "PORT_UNUSED"
-- Retrieval info: CONSTANT: SELF_RESET_ON_LOSS_LOCK STRING "OFF"
-- Retrieval info: CONSTANT: WIDTH_CLOCK NUMERIC "5"
-- Retrieval info: USED_PORT: @clk 0 0 5 0 OUTPUT_CLK_EXT VCC "@clk[4..0]"
-- Retrieval info: USED_PORT: @inclk 0 0 2 0 INPUT_CLK_EXT VCC "@inclk[1..0]"
-- Retrieval info: USED_PORT: c0 0 0 0 0 OUTPUT_CLK_EXT VCC "c0"
-- Retrieval info: USED_PORT: c1 0 0 0 0 OUTPUT_CLK_EXT VCC "c1"
-- Retrieval info: USED_PORT: inclk0 0 0 0 0 INPUT_CLK_EXT GND "inclk0"
-- Retrieval info: USED_PORT: locked 0 0 0 0 OUTPUT GND "locked"
-- Retrieval info: CONNECT: @inclk 0 0 1 1 GND 0 0 0 0
-- Retrieval info: CONNECT: @inclk 0 0 1 0 inclk0 0 0 0 0
-- Retrieval info: CONNECT: c0 0 0 0 0 @clk 0 0 1 0
-- Retrieval info: CONNECT: c1 0 0 0 0 @clk 0 0 1 1
-- Retrieval info: CONNECT: locked 0 0 0 0 @locked 0 0 0 0
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.vhd TRUE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.ppf TRUE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.inc FALSE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.cmp TRUE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0.bsf TRUE
-- Retrieval info: GEN_FILE: TYPE_NORMAL altpll0_inst.vhd FALSE
-- Retrieval info: LIB_FILE: altera_mf
-- Retrieval info: CBX_MODULE_PREFIX: ON
|
-- Copyright 1986-2016 Xilinx, Inc. All Rights Reserved.
-- --------------------------------------------------------------------------------
-- Tool Version: Vivado v.2016.4 (win64) Build 1756540 Mon Jan 23 19:11:23 MST 2017
-- Date : Fri Mar 31 18:24:55 2017
-- Host : LAPTOP-IQ9G3D1I running 64-bit major release (build 9200)
-- Command : write_vhdl -force -mode funcsim -rename_top mig_wrap_proc_sys_reset_1_0 -prefix
-- mig_wrap_proc_sys_reset_1_0_ mig_wrap_proc_sys_reset_0_0_sim_netlist.vhdl
-- Design : mig_wrap_proc_sys_reset_0_0
-- Purpose : This VHDL netlist is a functional simulation representation of the design and should not be modified or
-- synthesized. This netlist cannot be used for SDF annotated simulation.
-- Device : xc7vx485tffg1761-2
-- --------------------------------------------------------------------------------
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
library UNISIM;
use UNISIM.VCOMPONENTS.ALL;
entity mig_wrap_proc_sys_reset_1_0_cdc_sync is
port (
lpf_exr_reg : out STD_LOGIC;
scndry_out : out STD_LOGIC;
ext_reset_in : in STD_LOGIC;
mb_debug_sys_rst : in STD_LOGIC;
lpf_exr : in STD_LOGIC;
p_3_out : in STD_LOGIC_VECTOR ( 2 downto 0 );
slowest_sync_clk : in STD_LOGIC
);
end mig_wrap_proc_sys_reset_1_0_cdc_sync;
architecture STRUCTURE of mig_wrap_proc_sys_reset_1_0_cdc_sync is
signal exr_d1 : STD_LOGIC;
signal s_level_out_d1_cdc_to : STD_LOGIC;
signal s_level_out_d2 : STD_LOGIC;
signal s_level_out_d3 : STD_LOGIC;
signal \^scndry_out\ : STD_LOGIC;
attribute ASYNC_REG : boolean;
attribute ASYNC_REG of \GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_IN_cdc_to\ : label is std.standard.true;
attribute BOX_TYPE : string;
attribute BOX_TYPE of \GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_IN_cdc_to\ : label is "PRIMITIVE";
attribute XILINX_LEGACY_PRIM : string;
attribute XILINX_LEGACY_PRIM of \GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_IN_cdc_to\ : label is "FDR";
attribute ASYNC_REG of \GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_s_level_out_d2\ : label is std.standard.true;
attribute BOX_TYPE of \GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_s_level_out_d2\ : label is "PRIMITIVE";
attribute XILINX_LEGACY_PRIM of \GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_s_level_out_d2\ : label is "FDR";
attribute ASYNC_REG of \GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_s_level_out_d3\ : label is std.standard.true;
attribute BOX_TYPE of \GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_s_level_out_d3\ : label is "PRIMITIVE";
attribute XILINX_LEGACY_PRIM of \GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_s_level_out_d3\ : label is "FDR";
attribute ASYNC_REG of \GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_s_level_out_d4\ : label is std.standard.true;
attribute BOX_TYPE of \GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_s_level_out_d4\ : label is "PRIMITIVE";
attribute XILINX_LEGACY_PRIM of \GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_s_level_out_d4\ : label is "FDR";
begin
scndry_out <= \^scndry_out\;
\GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_IN_cdc_to\: unisim.vcomponents.FDRE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => exr_d1,
Q => s_level_out_d1_cdc_to,
R => '0'
);
\GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_IN_cdc_to_i_1\: unisim.vcomponents.LUT2
generic map(
INIT => X"E"
)
port map (
I0 => ext_reset_in,
I1 => mb_debug_sys_rst,
O => exr_d1
);
\GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_s_level_out_d2\: unisim.vcomponents.FDRE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => s_level_out_d1_cdc_to,
Q => s_level_out_d2,
R => '0'
);
\GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_s_level_out_d3\: unisim.vcomponents.FDRE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => s_level_out_d2,
Q => s_level_out_d3,
R => '0'
);
\GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_s_level_out_d4\: unisim.vcomponents.FDRE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => s_level_out_d3,
Q => \^scndry_out\,
R => '0'
);
lpf_exr_i_1: unisim.vcomponents.LUT5
generic map(
INIT => X"EAAAAAA8"
)
port map (
I0 => lpf_exr,
I1 => p_3_out(0),
I2 => \^scndry_out\,
I3 => p_3_out(1),
I4 => p_3_out(2),
O => lpf_exr_reg
);
end STRUCTURE;
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
library UNISIM;
use UNISIM.VCOMPONENTS.ALL;
entity mig_wrap_proc_sys_reset_1_0_cdc_sync_0 is
port (
lpf_asr_reg : out STD_LOGIC;
scndry_out : out STD_LOGIC;
aux_reset_in : in STD_LOGIC;
lpf_asr : in STD_LOGIC;
asr_lpf : in STD_LOGIC_VECTOR ( 0 to 0 );
p_1_in : in STD_LOGIC;
p_2_in : in STD_LOGIC;
slowest_sync_clk : in STD_LOGIC
);
attribute ORIG_REF_NAME : string;
attribute ORIG_REF_NAME of mig_wrap_proc_sys_reset_1_0_cdc_sync_0 : entity is "cdc_sync";
end mig_wrap_proc_sys_reset_1_0_cdc_sync_0;
architecture STRUCTURE of mig_wrap_proc_sys_reset_1_0_cdc_sync_0 is
signal asr_d1 : STD_LOGIC;
signal s_level_out_d1_cdc_to : STD_LOGIC;
signal s_level_out_d2 : STD_LOGIC;
signal s_level_out_d3 : STD_LOGIC;
signal \^scndry_out\ : STD_LOGIC;
attribute ASYNC_REG : boolean;
attribute ASYNC_REG of \GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_IN_cdc_to\ : label is std.standard.true;
attribute BOX_TYPE : string;
attribute BOX_TYPE of \GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_IN_cdc_to\ : label is "PRIMITIVE";
attribute XILINX_LEGACY_PRIM : string;
attribute XILINX_LEGACY_PRIM of \GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_IN_cdc_to\ : label is "FDR";
attribute ASYNC_REG of \GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_s_level_out_d2\ : label is std.standard.true;
attribute BOX_TYPE of \GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_s_level_out_d2\ : label is "PRIMITIVE";
attribute XILINX_LEGACY_PRIM of \GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_s_level_out_d2\ : label is "FDR";
attribute ASYNC_REG of \GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_s_level_out_d3\ : label is std.standard.true;
attribute BOX_TYPE of \GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_s_level_out_d3\ : label is "PRIMITIVE";
attribute XILINX_LEGACY_PRIM of \GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_s_level_out_d3\ : label is "FDR";
attribute ASYNC_REG of \GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_s_level_out_d4\ : label is std.standard.true;
attribute BOX_TYPE of \GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_s_level_out_d4\ : label is "PRIMITIVE";
attribute XILINX_LEGACY_PRIM of \GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_s_level_out_d4\ : label is "FDR";
begin
scndry_out <= \^scndry_out\;
\GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_IN_cdc_to\: unisim.vcomponents.FDRE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => asr_d1,
Q => s_level_out_d1_cdc_to,
R => '0'
);
\GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_IN_cdc_to_i_1__0\: unisim.vcomponents.LUT1
generic map(
INIT => X"1"
)
port map (
I0 => aux_reset_in,
O => asr_d1
);
\GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_s_level_out_d2\: unisim.vcomponents.FDRE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => s_level_out_d1_cdc_to,
Q => s_level_out_d2,
R => '0'
);
\GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_s_level_out_d3\: unisim.vcomponents.FDRE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => s_level_out_d2,
Q => s_level_out_d3,
R => '0'
);
\GENERATE_LEVEL_P_S_CDC.SINGLE_BIT.CROSS_PLEVEL_IN2SCNDRY_s_level_out_d4\: unisim.vcomponents.FDRE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => s_level_out_d3,
Q => \^scndry_out\,
R => '0'
);
lpf_asr_i_1: unisim.vcomponents.LUT5
generic map(
INIT => X"EAAAAAA8"
)
port map (
I0 => lpf_asr,
I1 => asr_lpf(0),
I2 => \^scndry_out\,
I3 => p_1_in,
I4 => p_2_in,
O => lpf_asr_reg
);
end STRUCTURE;
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
library UNISIM;
use UNISIM.VCOMPONENTS.ALL;
entity mig_wrap_proc_sys_reset_1_0_upcnt_n is
port (
Q : out STD_LOGIC_VECTOR ( 5 downto 0 );
seq_clr : in STD_LOGIC;
seq_cnt_en : in STD_LOGIC;
slowest_sync_clk : in STD_LOGIC
);
end mig_wrap_proc_sys_reset_1_0_upcnt_n;
architecture STRUCTURE of mig_wrap_proc_sys_reset_1_0_upcnt_n is
signal \^q\ : STD_LOGIC_VECTOR ( 5 downto 0 );
signal clear : STD_LOGIC;
signal q_int0 : STD_LOGIC_VECTOR ( 5 downto 0 );
attribute SOFT_HLUTNM : string;
attribute SOFT_HLUTNM of \q_int[1]_i_1\ : label is "soft_lutpair1";
attribute SOFT_HLUTNM of \q_int[2]_i_1\ : label is "soft_lutpair1";
attribute SOFT_HLUTNM of \q_int[3]_i_1\ : label is "soft_lutpair0";
attribute SOFT_HLUTNM of \q_int[4]_i_1\ : label is "soft_lutpair0";
begin
Q(5 downto 0) <= \^q\(5 downto 0);
\q_int[0]_i_1\: unisim.vcomponents.LUT1
generic map(
INIT => X"1"
)
port map (
I0 => \^q\(0),
O => q_int0(0)
);
\q_int[1]_i_1\: unisim.vcomponents.LUT2
generic map(
INIT => X"6"
)
port map (
I0 => \^q\(0),
I1 => \^q\(1),
O => q_int0(1)
);
\q_int[2]_i_1\: unisim.vcomponents.LUT3
generic map(
INIT => X"78"
)
port map (
I0 => \^q\(0),
I1 => \^q\(1),
I2 => \^q\(2),
O => q_int0(2)
);
\q_int[3]_i_1\: unisim.vcomponents.LUT4
generic map(
INIT => X"7F80"
)
port map (
I0 => \^q\(1),
I1 => \^q\(0),
I2 => \^q\(2),
I3 => \^q\(3),
O => q_int0(3)
);
\q_int[4]_i_1\: unisim.vcomponents.LUT5
generic map(
INIT => X"7FFF8000"
)
port map (
I0 => \^q\(2),
I1 => \^q\(0),
I2 => \^q\(1),
I3 => \^q\(3),
I4 => \^q\(4),
O => q_int0(4)
);
\q_int[5]_i_1\: unisim.vcomponents.LUT1
generic map(
INIT => X"1"
)
port map (
I0 => seq_clr,
O => clear
);
\q_int[5]_i_2\: unisim.vcomponents.LUT6
generic map(
INIT => X"7FFFFFFF80000000"
)
port map (
I0 => \^q\(3),
I1 => \^q\(1),
I2 => \^q\(0),
I3 => \^q\(2),
I4 => \^q\(4),
I5 => \^q\(5),
O => q_int0(5)
);
\q_int_reg[0]\: unisim.vcomponents.FDRE
generic map(
INIT => '1'
)
port map (
C => slowest_sync_clk,
CE => seq_cnt_en,
D => q_int0(0),
Q => \^q\(0),
R => clear
);
\q_int_reg[1]\: unisim.vcomponents.FDRE
generic map(
INIT => '1'
)
port map (
C => slowest_sync_clk,
CE => seq_cnt_en,
D => q_int0(1),
Q => \^q\(1),
R => clear
);
\q_int_reg[2]\: unisim.vcomponents.FDRE
generic map(
INIT => '1'
)
port map (
C => slowest_sync_clk,
CE => seq_cnt_en,
D => q_int0(2),
Q => \^q\(2),
R => clear
);
\q_int_reg[3]\: unisim.vcomponents.FDRE
generic map(
INIT => '1'
)
port map (
C => slowest_sync_clk,
CE => seq_cnt_en,
D => q_int0(3),
Q => \^q\(3),
R => clear
);
\q_int_reg[4]\: unisim.vcomponents.FDRE
generic map(
INIT => '1'
)
port map (
C => slowest_sync_clk,
CE => seq_cnt_en,
D => q_int0(4),
Q => \^q\(4),
R => clear
);
\q_int_reg[5]\: unisim.vcomponents.FDRE
generic map(
INIT => '1'
)
port map (
C => slowest_sync_clk,
CE => seq_cnt_en,
D => q_int0(5),
Q => \^q\(5),
R => clear
);
end STRUCTURE;
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
library UNISIM;
use UNISIM.VCOMPONENTS.ALL;
entity mig_wrap_proc_sys_reset_1_0_lpf is
port (
lpf_int : out STD_LOGIC;
slowest_sync_clk : in STD_LOGIC;
dcm_locked : in STD_LOGIC;
ext_reset_in : in STD_LOGIC;
mb_debug_sys_rst : in STD_LOGIC;
aux_reset_in : in STD_LOGIC
);
end mig_wrap_proc_sys_reset_1_0_lpf;
architecture STRUCTURE of mig_wrap_proc_sys_reset_1_0_lpf is
signal \ACTIVE_HIGH_EXT.ACT_HI_EXT_n_0\ : STD_LOGIC;
signal \ACTIVE_LOW_AUX.ACT_LO_AUX_n_0\ : STD_LOGIC;
signal Q : STD_LOGIC;
signal asr_lpf : STD_LOGIC_VECTOR ( 0 to 0 );
signal lpf_asr : STD_LOGIC;
signal lpf_exr : STD_LOGIC;
signal \lpf_int0__0\ : STD_LOGIC;
signal p_1_in : STD_LOGIC;
signal p_2_in : STD_LOGIC;
signal p_3_in1_in : STD_LOGIC;
signal p_3_out : STD_LOGIC_VECTOR ( 3 downto 0 );
attribute BOX_TYPE : string;
attribute BOX_TYPE of POR_SRL_I : label is "PRIMITIVE";
attribute XILINX_LEGACY_PRIM : string;
attribute XILINX_LEGACY_PRIM of POR_SRL_I : label is "SRL16";
attribute srl_name : string;
attribute srl_name of POR_SRL_I : label is "U0/\EXT_LPF/POR_SRL_I ";
begin
\ACTIVE_HIGH_EXT.ACT_HI_EXT\: entity work.mig_wrap_proc_sys_reset_1_0_cdc_sync
port map (
ext_reset_in => ext_reset_in,
lpf_exr => lpf_exr,
lpf_exr_reg => \ACTIVE_HIGH_EXT.ACT_HI_EXT_n_0\,
mb_debug_sys_rst => mb_debug_sys_rst,
p_3_out(2 downto 0) => p_3_out(2 downto 0),
scndry_out => p_3_out(3),
slowest_sync_clk => slowest_sync_clk
);
\ACTIVE_LOW_AUX.ACT_LO_AUX\: entity work.mig_wrap_proc_sys_reset_1_0_cdc_sync_0
port map (
asr_lpf(0) => asr_lpf(0),
aux_reset_in => aux_reset_in,
lpf_asr => lpf_asr,
lpf_asr_reg => \ACTIVE_LOW_AUX.ACT_LO_AUX_n_0\,
p_1_in => p_1_in,
p_2_in => p_2_in,
scndry_out => p_3_in1_in,
slowest_sync_clk => slowest_sync_clk
);
\AUX_LPF[1].asr_lpf_reg[1]\: unisim.vcomponents.FDRE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => p_3_in1_in,
Q => p_2_in,
R => '0'
);
\AUX_LPF[2].asr_lpf_reg[2]\: unisim.vcomponents.FDRE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => p_2_in,
Q => p_1_in,
R => '0'
);
\AUX_LPF[3].asr_lpf_reg[3]\: unisim.vcomponents.FDRE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => p_1_in,
Q => asr_lpf(0),
R => '0'
);
\EXT_LPF[1].exr_lpf_reg[1]\: unisim.vcomponents.FDRE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => p_3_out(3),
Q => p_3_out(2),
R => '0'
);
\EXT_LPF[2].exr_lpf_reg[2]\: unisim.vcomponents.FDRE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => p_3_out(2),
Q => p_3_out(1),
R => '0'
);
\EXT_LPF[3].exr_lpf_reg[3]\: unisim.vcomponents.FDRE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => p_3_out(1),
Q => p_3_out(0),
R => '0'
);
POR_SRL_I: unisim.vcomponents.SRL16E
generic map(
INIT => X"FFFF"
)
port map (
A0 => '1',
A1 => '1',
A2 => '1',
A3 => '1',
CE => '1',
CLK => slowest_sync_clk,
D => '0',
Q => Q
);
lpf_asr_reg: unisim.vcomponents.FDRE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => \ACTIVE_LOW_AUX.ACT_LO_AUX_n_0\,
Q => lpf_asr,
R => '0'
);
lpf_exr_reg: unisim.vcomponents.FDRE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => \ACTIVE_HIGH_EXT.ACT_HI_EXT_n_0\,
Q => lpf_exr,
R => '0'
);
lpf_int0: unisim.vcomponents.LUT4
generic map(
INIT => X"FFFD"
)
port map (
I0 => dcm_locked,
I1 => Q,
I2 => lpf_exr,
I3 => lpf_asr,
O => \lpf_int0__0\
);
lpf_int_reg: unisim.vcomponents.FDRE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => \lpf_int0__0\,
Q => lpf_int,
R => '0'
);
end STRUCTURE;
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
library UNISIM;
use UNISIM.VCOMPONENTS.ALL;
entity mig_wrap_proc_sys_reset_1_0_sequence_psr is
port (
Core : out STD_LOGIC;
bsr : out STD_LOGIC;
pr : out STD_LOGIC;
\ACTIVE_LOW_BSR_OUT_DFF[0].interconnect_aresetn_reg[0]\ : out STD_LOGIC;
\ACTIVE_LOW_PR_OUT_DFF[0].peripheral_aresetn_reg[0]\ : out STD_LOGIC;
lpf_int : in STD_LOGIC;
slowest_sync_clk : in STD_LOGIC
);
end mig_wrap_proc_sys_reset_1_0_sequence_psr;
architecture STRUCTURE of mig_wrap_proc_sys_reset_1_0_sequence_psr is
signal \^core\ : STD_LOGIC;
signal Core_i_1_n_0 : STD_LOGIC;
signal \^bsr\ : STD_LOGIC;
signal \bsr_dec_reg_n_0_[0]\ : STD_LOGIC;
signal \bsr_dec_reg_n_0_[2]\ : STD_LOGIC;
signal bsr_i_1_n_0 : STD_LOGIC;
signal \core_dec[0]_i_1_n_0\ : STD_LOGIC;
signal \core_dec[2]_i_1_n_0\ : STD_LOGIC;
signal \core_dec_reg_n_0_[0]\ : STD_LOGIC;
signal \core_dec_reg_n_0_[1]\ : STD_LOGIC;
signal from_sys_i_1_n_0 : STD_LOGIC;
signal p_0_in : STD_LOGIC;
signal p_3_out : STD_LOGIC_VECTOR ( 2 downto 0 );
signal p_5_out : STD_LOGIC_VECTOR ( 2 downto 0 );
signal \^pr\ : STD_LOGIC;
signal \pr_dec0__0\ : STD_LOGIC;
signal \pr_dec_reg_n_0_[0]\ : STD_LOGIC;
signal \pr_dec_reg_n_0_[2]\ : STD_LOGIC;
signal pr_i_1_n_0 : STD_LOGIC;
signal seq_clr : STD_LOGIC;
signal seq_cnt : STD_LOGIC_VECTOR ( 5 downto 0 );
signal seq_cnt_en : STD_LOGIC;
attribute SOFT_HLUTNM : string;
attribute SOFT_HLUTNM of \ACTIVE_LOW_BSR_OUT_DFF[0].interconnect_aresetn[0]_i_1\ : label is "soft_lutpair5";
attribute SOFT_HLUTNM of \ACTIVE_LOW_PR_OUT_DFF[0].peripheral_aresetn[0]_i_1\ : label is "soft_lutpair4";
attribute SOFT_HLUTNM of Core_i_1 : label is "soft_lutpair3";
attribute SOFT_HLUTNM of \bsr_dec[2]_i_1\ : label is "soft_lutpair6";
attribute SOFT_HLUTNM of bsr_i_1 : label is "soft_lutpair5";
attribute SOFT_HLUTNM of \core_dec[0]_i_1\ : label is "soft_lutpair2";
attribute SOFT_HLUTNM of \core_dec[2]_i_1\ : label is "soft_lutpair6";
attribute SOFT_HLUTNM of from_sys_i_1 : label is "soft_lutpair3";
attribute SOFT_HLUTNM of \pr_dec[0]_i_1\ : label is "soft_lutpair2";
attribute SOFT_HLUTNM of pr_i_1 : label is "soft_lutpair4";
begin
Core <= \^core\;
bsr <= \^bsr\;
pr <= \^pr\;
\ACTIVE_LOW_BSR_OUT_DFF[0].interconnect_aresetn[0]_i_1\: unisim.vcomponents.LUT1
generic map(
INIT => X"1"
)
port map (
I0 => \^bsr\,
O => \ACTIVE_LOW_BSR_OUT_DFF[0].interconnect_aresetn_reg[0]\
);
\ACTIVE_LOW_PR_OUT_DFF[0].peripheral_aresetn[0]_i_1\: unisim.vcomponents.LUT1
generic map(
INIT => X"1"
)
port map (
I0 => \^pr\,
O => \ACTIVE_LOW_PR_OUT_DFF[0].peripheral_aresetn_reg[0]\
);
Core_i_1: unisim.vcomponents.LUT2
generic map(
INIT => X"2"
)
port map (
I0 => \^core\,
I1 => p_0_in,
O => Core_i_1_n_0
);
Core_reg: unisim.vcomponents.FDSE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => Core_i_1_n_0,
Q => \^core\,
S => lpf_int
);
SEQ_COUNTER: entity work.mig_wrap_proc_sys_reset_1_0_upcnt_n
port map (
Q(5 downto 0) => seq_cnt(5 downto 0),
seq_clr => seq_clr,
seq_cnt_en => seq_cnt_en,
slowest_sync_clk => slowest_sync_clk
);
\bsr_dec[0]_i_1\: unisim.vcomponents.LUT4
generic map(
INIT => X"0804"
)
port map (
I0 => seq_cnt_en,
I1 => seq_cnt(3),
I2 => seq_cnt(5),
I3 => seq_cnt(4),
O => p_5_out(0)
);
\bsr_dec[2]_i_1\: unisim.vcomponents.LUT2
generic map(
INIT => X"8"
)
port map (
I0 => \core_dec_reg_n_0_[1]\,
I1 => \bsr_dec_reg_n_0_[0]\,
O => p_5_out(2)
);
\bsr_dec_reg[0]\: unisim.vcomponents.FDRE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => p_5_out(0),
Q => \bsr_dec_reg_n_0_[0]\,
R => '0'
);
\bsr_dec_reg[2]\: unisim.vcomponents.FDRE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => p_5_out(2),
Q => \bsr_dec_reg_n_0_[2]\,
R => '0'
);
bsr_i_1: unisim.vcomponents.LUT2
generic map(
INIT => X"2"
)
port map (
I0 => \^bsr\,
I1 => \bsr_dec_reg_n_0_[2]\,
O => bsr_i_1_n_0
);
bsr_reg: unisim.vcomponents.FDSE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => bsr_i_1_n_0,
Q => \^bsr\,
S => lpf_int
);
\core_dec[0]_i_1\: unisim.vcomponents.LUT4
generic map(
INIT => X"8040"
)
port map (
I0 => seq_cnt(4),
I1 => seq_cnt(3),
I2 => seq_cnt(5),
I3 => seq_cnt_en,
O => \core_dec[0]_i_1_n_0\
);
\core_dec[2]_i_1\: unisim.vcomponents.LUT2
generic map(
INIT => X"8"
)
port map (
I0 => \core_dec_reg_n_0_[1]\,
I1 => \core_dec_reg_n_0_[0]\,
O => \core_dec[2]_i_1_n_0\
);
\core_dec_reg[0]\: unisim.vcomponents.FDRE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => \core_dec[0]_i_1_n_0\,
Q => \core_dec_reg_n_0_[0]\,
R => '0'
);
\core_dec_reg[1]\: unisim.vcomponents.FDRE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => \pr_dec0__0\,
Q => \core_dec_reg_n_0_[1]\,
R => '0'
);
\core_dec_reg[2]\: unisim.vcomponents.FDRE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => \core_dec[2]_i_1_n_0\,
Q => p_0_in,
R => '0'
);
from_sys_i_1: unisim.vcomponents.LUT2
generic map(
INIT => X"8"
)
port map (
I0 => \^core\,
I1 => seq_cnt_en,
O => from_sys_i_1_n_0
);
from_sys_reg: unisim.vcomponents.FDSE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => from_sys_i_1_n_0,
Q => seq_cnt_en,
S => lpf_int
);
pr_dec0: unisim.vcomponents.LUT4
generic map(
INIT => X"0210"
)
port map (
I0 => seq_cnt(0),
I1 => seq_cnt(1),
I2 => seq_cnt(2),
I3 => seq_cnt_en,
O => \pr_dec0__0\
);
\pr_dec[0]_i_1\: unisim.vcomponents.LUT4
generic map(
INIT => X"1080"
)
port map (
I0 => seq_cnt_en,
I1 => seq_cnt(5),
I2 => seq_cnt(3),
I3 => seq_cnt(4),
O => p_3_out(0)
);
\pr_dec[2]_i_1\: unisim.vcomponents.LUT2
generic map(
INIT => X"8"
)
port map (
I0 => \core_dec_reg_n_0_[1]\,
I1 => \pr_dec_reg_n_0_[0]\,
O => p_3_out(2)
);
\pr_dec_reg[0]\: unisim.vcomponents.FDRE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => p_3_out(0),
Q => \pr_dec_reg_n_0_[0]\,
R => '0'
);
\pr_dec_reg[2]\: unisim.vcomponents.FDRE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => p_3_out(2),
Q => \pr_dec_reg_n_0_[2]\,
R => '0'
);
pr_i_1: unisim.vcomponents.LUT2
generic map(
INIT => X"2"
)
port map (
I0 => \^pr\,
I1 => \pr_dec_reg_n_0_[2]\,
O => pr_i_1_n_0
);
pr_reg: unisim.vcomponents.FDSE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => pr_i_1_n_0,
Q => \^pr\,
S => lpf_int
);
seq_clr_reg: unisim.vcomponents.FDRE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => '1',
Q => seq_clr,
R => lpf_int
);
end STRUCTURE;
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
library UNISIM;
use UNISIM.VCOMPONENTS.ALL;
entity mig_wrap_proc_sys_reset_1_0_proc_sys_reset is
port (
slowest_sync_clk : in STD_LOGIC;
ext_reset_in : in STD_LOGIC;
aux_reset_in : in STD_LOGIC;
mb_debug_sys_rst : in STD_LOGIC;
dcm_locked : in STD_LOGIC;
mb_reset : out STD_LOGIC;
bus_struct_reset : out STD_LOGIC_VECTOR ( 0 to 0 );
peripheral_reset : out STD_LOGIC_VECTOR ( 0 to 0 );
interconnect_aresetn : out STD_LOGIC_VECTOR ( 0 to 0 );
peripheral_aresetn : out STD_LOGIC_VECTOR ( 0 to 0 )
);
attribute C_AUX_RESET_HIGH : string;
attribute C_AUX_RESET_HIGH of mig_wrap_proc_sys_reset_1_0_proc_sys_reset : entity is "1'b0";
attribute C_AUX_RST_WIDTH : integer;
attribute C_AUX_RST_WIDTH of mig_wrap_proc_sys_reset_1_0_proc_sys_reset : entity is 4;
attribute C_EXT_RESET_HIGH : string;
attribute C_EXT_RESET_HIGH of mig_wrap_proc_sys_reset_1_0_proc_sys_reset : entity is "1'b1";
attribute C_EXT_RST_WIDTH : integer;
attribute C_EXT_RST_WIDTH of mig_wrap_proc_sys_reset_1_0_proc_sys_reset : entity is 4;
attribute C_FAMILY : string;
attribute C_FAMILY of mig_wrap_proc_sys_reset_1_0_proc_sys_reset : entity is "virtex7";
attribute C_NUM_BUS_RST : integer;
attribute C_NUM_BUS_RST of mig_wrap_proc_sys_reset_1_0_proc_sys_reset : entity is 1;
attribute C_NUM_INTERCONNECT_ARESETN : integer;
attribute C_NUM_INTERCONNECT_ARESETN of mig_wrap_proc_sys_reset_1_0_proc_sys_reset : entity is 1;
attribute C_NUM_PERP_ARESETN : integer;
attribute C_NUM_PERP_ARESETN of mig_wrap_proc_sys_reset_1_0_proc_sys_reset : entity is 1;
attribute C_NUM_PERP_RST : integer;
attribute C_NUM_PERP_RST of mig_wrap_proc_sys_reset_1_0_proc_sys_reset : entity is 1;
end mig_wrap_proc_sys_reset_1_0_proc_sys_reset;
architecture STRUCTURE of mig_wrap_proc_sys_reset_1_0_proc_sys_reset is
signal Core : STD_LOGIC;
signal SEQ_n_3 : STD_LOGIC;
signal SEQ_n_4 : STD_LOGIC;
signal bsr : STD_LOGIC;
signal lpf_int : STD_LOGIC;
signal pr : STD_LOGIC;
attribute equivalent_register_removal : string;
attribute equivalent_register_removal of \ACTIVE_LOW_BSR_OUT_DFF[0].interconnect_aresetn_reg[0]\ : label is "no";
attribute equivalent_register_removal of \ACTIVE_LOW_PR_OUT_DFF[0].peripheral_aresetn_reg[0]\ : label is "no";
attribute equivalent_register_removal of \BSR_OUT_DFF[0].bus_struct_reset_reg[0]\ : label is "no";
attribute equivalent_register_removal of \PR_OUT_DFF[0].peripheral_reset_reg[0]\ : label is "no";
begin
\ACTIVE_LOW_BSR_OUT_DFF[0].interconnect_aresetn_reg[0]\: unisim.vcomponents.FDRE
generic map(
INIT => '1'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => SEQ_n_3,
Q => interconnect_aresetn(0),
R => '0'
);
\ACTIVE_LOW_PR_OUT_DFF[0].peripheral_aresetn_reg[0]\: unisim.vcomponents.FDRE
generic map(
INIT => '1'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => SEQ_n_4,
Q => peripheral_aresetn(0),
R => '0'
);
\BSR_OUT_DFF[0].bus_struct_reset_reg[0]\: unisim.vcomponents.FDRE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => bsr,
Q => bus_struct_reset(0),
R => '0'
);
EXT_LPF: entity work.mig_wrap_proc_sys_reset_1_0_lpf
port map (
aux_reset_in => aux_reset_in,
dcm_locked => dcm_locked,
ext_reset_in => ext_reset_in,
lpf_int => lpf_int,
mb_debug_sys_rst => mb_debug_sys_rst,
slowest_sync_clk => slowest_sync_clk
);
\PR_OUT_DFF[0].peripheral_reset_reg[0]\: unisim.vcomponents.FDRE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => pr,
Q => peripheral_reset(0),
R => '0'
);
SEQ: entity work.mig_wrap_proc_sys_reset_1_0_sequence_psr
port map (
\ACTIVE_LOW_BSR_OUT_DFF[0].interconnect_aresetn_reg[0]\ => SEQ_n_3,
\ACTIVE_LOW_PR_OUT_DFF[0].peripheral_aresetn_reg[0]\ => SEQ_n_4,
Core => Core,
bsr => bsr,
lpf_int => lpf_int,
pr => pr,
slowest_sync_clk => slowest_sync_clk
);
mb_reset_reg: unisim.vcomponents.FDRE
generic map(
INIT => '0'
)
port map (
C => slowest_sync_clk,
CE => '1',
D => Core,
Q => mb_reset,
R => '0'
);
end STRUCTURE;
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
library UNISIM;
use UNISIM.VCOMPONENTS.ALL;
entity mig_wrap_proc_sys_reset_1_0 is
port (
slowest_sync_clk : in STD_LOGIC;
ext_reset_in : in STD_LOGIC;
aux_reset_in : in STD_LOGIC;
mb_debug_sys_rst : in STD_LOGIC;
dcm_locked : in STD_LOGIC;
mb_reset : out STD_LOGIC;
bus_struct_reset : out STD_LOGIC_VECTOR ( 0 to 0 );
peripheral_reset : out STD_LOGIC_VECTOR ( 0 to 0 );
interconnect_aresetn : out STD_LOGIC_VECTOR ( 0 to 0 );
peripheral_aresetn : out STD_LOGIC_VECTOR ( 0 to 0 )
);
attribute NotValidForBitStream : boolean;
attribute NotValidForBitStream of mig_wrap_proc_sys_reset_1_0 : entity is true;
attribute CHECK_LICENSE_TYPE : string;
attribute CHECK_LICENSE_TYPE of mig_wrap_proc_sys_reset_1_0 : entity is "mig_wrap_proc_sys_reset_0_0,proc_sys_reset,{}";
attribute downgradeipidentifiedwarnings : string;
attribute downgradeipidentifiedwarnings of mig_wrap_proc_sys_reset_1_0 : entity is "yes";
attribute x_core_info : string;
attribute x_core_info of mig_wrap_proc_sys_reset_1_0 : entity is "proc_sys_reset,Vivado 2016.4";
end mig_wrap_proc_sys_reset_1_0;
architecture STRUCTURE of mig_wrap_proc_sys_reset_1_0 is
attribute C_AUX_RESET_HIGH : string;
attribute C_AUX_RESET_HIGH of U0 : label is "1'b0";
attribute C_AUX_RST_WIDTH : integer;
attribute C_AUX_RST_WIDTH of U0 : label is 4;
attribute C_EXT_RESET_HIGH : string;
attribute C_EXT_RESET_HIGH of U0 : label is "1'b1";
attribute C_EXT_RST_WIDTH : integer;
attribute C_EXT_RST_WIDTH of U0 : label is 4;
attribute C_FAMILY : string;
attribute C_FAMILY of U0 : label is "virtex7";
attribute C_NUM_BUS_RST : integer;
attribute C_NUM_BUS_RST of U0 : label is 1;
attribute C_NUM_INTERCONNECT_ARESETN : integer;
attribute C_NUM_INTERCONNECT_ARESETN of U0 : label is 1;
attribute C_NUM_PERP_ARESETN : integer;
attribute C_NUM_PERP_ARESETN of U0 : label is 1;
attribute C_NUM_PERP_RST : integer;
attribute C_NUM_PERP_RST of U0 : label is 1;
begin
U0: entity work.mig_wrap_proc_sys_reset_1_0_proc_sys_reset
port map (
aux_reset_in => aux_reset_in,
bus_struct_reset(0) => bus_struct_reset(0),
dcm_locked => dcm_locked,
ext_reset_in => ext_reset_in,
interconnect_aresetn(0) => interconnect_aresetn(0),
mb_debug_sys_rst => mb_debug_sys_rst,
mb_reset => mb_reset,
peripheral_aresetn(0) => peripheral_aresetn(0),
peripheral_reset(0) => peripheral_reset(0),
slowest_sync_clk => slowest_sync_clk
);
end STRUCTURE;
|
-------------------------------------------------------------------------------
--
-- File: ResetBridge.vhd
-- Author: Elod Gyorgy
-- Original Project: HDMI input on 7-series Xilinx FPGA
-- Date: 20 October 2014
-- Last modification date: 05 October 2022
--
-------------------------------------------------------------------------------
-- (c) 2014 Copyright Digilent Incorporated
-- All Rights Reserved
--
-- This program is free software; distributed under the terms of BSD 3-clause
-- license ("Revised BSD License", "New BSD License", or "Modified BSD License")
--
-- Redistribution and use in source and binary forms, with or without modification,
-- are permitted provided that the following conditions are met:
--
-- 1. Redistributions of source code must retain the above copyright notice, this
-- list of conditions and the following disclaimer.
-- 2. Redistributions in binary form must reproduce the above copyright notice,
-- this list of conditions and the following disclaimer in the documentation
-- and/or other materials provided with the distribution.
-- 3. Neither the name(s) of the above-listed copyright holder(s) nor the names
-- of its contributors may be used to endorse or promote products derived
-- from this software without specific prior written permission.
--
-- THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
-- AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
-- IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
-- ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE
-- FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
-- DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
-- SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
-- CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
-- OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
-- OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
--
-------------------------------------------------------------------------------
--
-- Purpose:
-- This module is a reset-bridge. It takes a reset signal asynchronous to the
-- target clock domain (OutClk) and provides a safe asynchronous or synchronous
-- reset for the OutClk domain (aoRst). The signal aoRst is asserted immediately
-- as aRst arrives, but is de-asserted synchronously with the OutClk rising
-- edge. This means it can be used to safely reset any FF in the OutClk domain,
-- respecting recovery time specs for FFs.
-- The additional output register does not have placement and overly
-- restrictive delay constraints, so that the tools can freely replicate it,
-- if needed.
-- Constraints:
-- # Replace <InstResetBridge> with path to ResetBridge instance, keep rest unchanged
-- # Begin scope to ResetBridge instance
-- current_instance [get_cells <InstResetBridge>]
-- # Reset input to the synchronizer must be ignored for timing analysis
-- set_false_path -through [get_ports -scoped_to_current_instance aRst]
-- # Constrain internal synchronizer paths to half-period, which is expected to be easily met with ASYNC_REG=true
-- set ClkPeriod [get_property PERIOD [get_clocks -of_objects [get_ports -scoped_to_current_instance OutClk]]]
-- set_max_delay -from [get_cells OutputFF*.SyncAsyncx/oSyncStages_reg[*]] -to [get_cells OutputFF*.SyncAsyncx/oSyncStages_reg[*]] [expr $ClkPeriod/2]
-- current_instance -quiet
-- # End scope to ResetBridge instance
--
-- Changelog:
-- 2020-Dec-14: Changed file name to ResetBridge
-- 2022-Oct-05: Replaced KEEP with keep_hierarchy. Added the possibility to
-- specify the number of output synchronization stages. Added the
-- possibility to specify an output FF, for replication purposes.
-------------------------------------------------------------------------------
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
-- Uncomment the following library declaration if using
-- arithmetic functions with Signed or Unsigned values
--use IEEE.NUMERIC_STD.ALL;
-- Uncomment the following library declaration if instantiating
-- any Xilinx leaf cells in this code.
--library UNISIM;
--use UNISIM.VComponents.all;
entity ResetBridge is
Generic (
kPolarity : std_logic := '1';
kStages : natural := 2;
kOutputFF : boolean := false); -- additional output FF for replication
Port (
aRst : in STD_LOGIC; -- asynchronous reset; active-high, if kPolarity=1
OutClk : in STD_LOGIC;
aoRst : out STD_LOGIC);
attribute keep_hierarchy : string;
attribute keep_hierarchy of ResetBridge : entity is "yes";
end ResetBridge;
architecture Behavioral of ResetBridge is
signal aRst_int, aoRst_int : std_logic;
begin
aRst_int <= kPolarity xnor aRst; --SyncAsync uses active-high reset
OutputFF_Yes: if kOutputFF generate
SyncAsyncx: entity work.SyncAsync
generic map (
kResetTo => '1',
kStages => kStages) --use double FF synchronizer
port map (
aoReset => aRst_int,
aIn => '0',
OutClk => OutClk,
oOut => aoRst_int);
-- Output FF that can be replicated by the tools, if needed
OutputFF: process (OutClk, aoRst_int)
begin
if (aoRst_int = '1') then
aoRst <= kPolarity;
elsif Rising_Edge(OutClk) then
aoRst <= not kPolarity;
end if;
end process;
end generate OutputFF_Yes;
OutputFF_No: if not kOutputFF generate
SyncAsyncx: entity work.SyncAsync
generic map (
kResetTo => kPolarity,
kStages => kStages) --use double FF synchronizer
port map (
aoReset => aRst_int,
aIn => not kPolarity,
OutClk => OutClk,
oOut => aoRst);
end generate OutputFF_No;
end Behavioral; |
-------------------------------------------------------------------------------
--
-- File: ResetBridge.vhd
-- Author: Elod Gyorgy
-- Original Project: HDMI input on 7-series Xilinx FPGA
-- Date: 20 October 2014
-- Last modification date: 05 October 2022
--
-------------------------------------------------------------------------------
-- (c) 2014 Copyright Digilent Incorporated
-- All Rights Reserved
--
-- This program is free software; distributed under the terms of BSD 3-clause
-- license ("Revised BSD License", "New BSD License", or "Modified BSD License")
--
-- Redistribution and use in source and binary forms, with or without modification,
-- are permitted provided that the following conditions are met:
--
-- 1. Redistributions of source code must retain the above copyright notice, this
-- list of conditions and the following disclaimer.
-- 2. Redistributions in binary form must reproduce the above copyright notice,
-- this list of conditions and the following disclaimer in the documentation
-- and/or other materials provided with the distribution.
-- 3. Neither the name(s) of the above-listed copyright holder(s) nor the names
-- of its contributors may be used to endorse or promote products derived
-- from this software without specific prior written permission.
--
-- THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
-- AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
-- IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
-- ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE
-- FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
-- DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
-- SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
-- CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
-- OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
-- OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
--
-------------------------------------------------------------------------------
--
-- Purpose:
-- This module is a reset-bridge. It takes a reset signal asynchronous to the
-- target clock domain (OutClk) and provides a safe asynchronous or synchronous
-- reset for the OutClk domain (aoRst). The signal aoRst is asserted immediately
-- as aRst arrives, but is de-asserted synchronously with the OutClk rising
-- edge. This means it can be used to safely reset any FF in the OutClk domain,
-- respecting recovery time specs for FFs.
-- The additional output register does not have placement and overly
-- restrictive delay constraints, so that the tools can freely replicate it,
-- if needed.
-- Constraints:
-- # Replace <InstResetBridge> with path to ResetBridge instance, keep rest unchanged
-- # Begin scope to ResetBridge instance
-- current_instance [get_cells <InstResetBridge>]
-- # Reset input to the synchronizer must be ignored for timing analysis
-- set_false_path -through [get_ports -scoped_to_current_instance aRst]
-- # Constrain internal synchronizer paths to half-period, which is expected to be easily met with ASYNC_REG=true
-- set ClkPeriod [get_property PERIOD [get_clocks -of_objects [get_ports -scoped_to_current_instance OutClk]]]
-- set_max_delay -from [get_cells OutputFF*.SyncAsyncx/oSyncStages_reg[*]] -to [get_cells OutputFF*.SyncAsyncx/oSyncStages_reg[*]] [expr $ClkPeriod/2]
-- current_instance -quiet
-- # End scope to ResetBridge instance
--
-- Changelog:
-- 2020-Dec-14: Changed file name to ResetBridge
-- 2022-Oct-05: Replaced KEEP with keep_hierarchy. Added the possibility to
-- specify the number of output synchronization stages. Added the
-- possibility to specify an output FF, for replication purposes.
-------------------------------------------------------------------------------
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
-- Uncomment the following library declaration if using
-- arithmetic functions with Signed or Unsigned values
--use IEEE.NUMERIC_STD.ALL;
-- Uncomment the following library declaration if instantiating
-- any Xilinx leaf cells in this code.
--library UNISIM;
--use UNISIM.VComponents.all;
entity ResetBridge is
Generic (
kPolarity : std_logic := '1';
kStages : natural := 2;
kOutputFF : boolean := false); -- additional output FF for replication
Port (
aRst : in STD_LOGIC; -- asynchronous reset; active-high, if kPolarity=1
OutClk : in STD_LOGIC;
aoRst : out STD_LOGIC);
attribute keep_hierarchy : string;
attribute keep_hierarchy of ResetBridge : entity is "yes";
end ResetBridge;
architecture Behavioral of ResetBridge is
signal aRst_int, aoRst_int : std_logic;
begin
aRst_int <= kPolarity xnor aRst; --SyncAsync uses active-high reset
OutputFF_Yes: if kOutputFF generate
SyncAsyncx: entity work.SyncAsync
generic map (
kResetTo => '1',
kStages => kStages) --use double FF synchronizer
port map (
aoReset => aRst_int,
aIn => '0',
OutClk => OutClk,
oOut => aoRst_int);
-- Output FF that can be replicated by the tools, if needed
OutputFF: process (OutClk, aoRst_int)
begin
if (aoRst_int = '1') then
aoRst <= kPolarity;
elsif Rising_Edge(OutClk) then
aoRst <= not kPolarity;
end if;
end process;
end generate OutputFF_Yes;
OutputFF_No: if not kOutputFF generate
SyncAsyncx: entity work.SyncAsync
generic map (
kResetTo => kPolarity,
kStages => kStages) --use double FF synchronizer
port map (
aoReset => aRst_int,
aIn => not kPolarity,
OutClk => OutClk,
oOut => aoRst);
end generate OutputFF_No;
end Behavioral; |
-- (c) Copyright 1995-2017 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--
-- DO NOT MODIFY THIS FILE.
-- IP VLNV: xilinx.com:ip:blk_mem_gen:8.4
-- IP Revision: 0
LIBRARY ieee;
USE ieee.std_logic_1164.ALL;
USE ieee.numeric_std.ALL;
LIBRARY blk_mem_gen_v8_4_0;
USE blk_mem_gen_v8_4_0.blk_mem_gen_v8_4_0;
ENTITY design_1_blk_mem_gen_0_3 IS
PORT (
clka : IN STD_LOGIC;
rsta : IN STD_LOGIC;
ena : IN STD_LOGIC;
wea : IN STD_LOGIC_VECTOR(3 DOWNTO 0);
addra : IN STD_LOGIC_VECTOR(31 DOWNTO 0);
dina : IN STD_LOGIC_VECTOR(31 DOWNTO 0);
douta : OUT STD_LOGIC_VECTOR(31 DOWNTO 0);
clkb : IN STD_LOGIC;
rstb : IN STD_LOGIC;
enb : IN STD_LOGIC;
web : IN STD_LOGIC_VECTOR(3 DOWNTO 0);
addrb : IN STD_LOGIC_VECTOR(31 DOWNTO 0);
dinb : IN STD_LOGIC_VECTOR(31 DOWNTO 0);
doutb : OUT STD_LOGIC_VECTOR(31 DOWNTO 0)
);
END design_1_blk_mem_gen_0_3;
ARCHITECTURE design_1_blk_mem_gen_0_3_arch OF design_1_blk_mem_gen_0_3 IS
ATTRIBUTE DowngradeIPIdentifiedWarnings : STRING;
ATTRIBUTE DowngradeIPIdentifiedWarnings OF design_1_blk_mem_gen_0_3_arch: ARCHITECTURE IS "yes";
COMPONENT blk_mem_gen_v8_4_0 IS
GENERIC (
C_FAMILY : STRING;
C_XDEVICEFAMILY : STRING;
C_ELABORATION_DIR : STRING;
C_INTERFACE_TYPE : INTEGER;
C_AXI_TYPE : INTEGER;
C_AXI_SLAVE_TYPE : INTEGER;
C_USE_BRAM_BLOCK : INTEGER;
C_ENABLE_32BIT_ADDRESS : INTEGER;
C_CTRL_ECC_ALGO : STRING;
C_HAS_AXI_ID : INTEGER;
C_AXI_ID_WIDTH : INTEGER;
C_MEM_TYPE : INTEGER;
C_BYTE_SIZE : INTEGER;
C_ALGORITHM : INTEGER;
C_PRIM_TYPE : INTEGER;
C_LOAD_INIT_FILE : INTEGER;
C_INIT_FILE_NAME : STRING;
C_INIT_FILE : STRING;
C_USE_DEFAULT_DATA : INTEGER;
C_DEFAULT_DATA : STRING;
C_HAS_RSTA : INTEGER;
C_RST_PRIORITY_A : STRING;
C_RSTRAM_A : INTEGER;
C_INITA_VAL : STRING;
C_HAS_ENA : INTEGER;
C_HAS_REGCEA : INTEGER;
C_USE_BYTE_WEA : INTEGER;
C_WEA_WIDTH : INTEGER;
C_WRITE_MODE_A : STRING;
C_WRITE_WIDTH_A : INTEGER;
C_READ_WIDTH_A : INTEGER;
C_WRITE_DEPTH_A : INTEGER;
C_READ_DEPTH_A : INTEGER;
C_ADDRA_WIDTH : INTEGER;
C_HAS_RSTB : INTEGER;
C_RST_PRIORITY_B : STRING;
C_RSTRAM_B : INTEGER;
C_INITB_VAL : STRING;
C_HAS_ENB : INTEGER;
C_HAS_REGCEB : INTEGER;
C_USE_BYTE_WEB : INTEGER;
C_WEB_WIDTH : INTEGER;
C_WRITE_MODE_B : STRING;
C_WRITE_WIDTH_B : INTEGER;
C_READ_WIDTH_B : INTEGER;
C_WRITE_DEPTH_B : INTEGER;
C_READ_DEPTH_B : INTEGER;
C_ADDRB_WIDTH : INTEGER;
C_HAS_MEM_OUTPUT_REGS_A : INTEGER;
C_HAS_MEM_OUTPUT_REGS_B : INTEGER;
C_HAS_MUX_OUTPUT_REGS_A : INTEGER;
C_HAS_MUX_OUTPUT_REGS_B : INTEGER;
C_MUX_PIPELINE_STAGES : INTEGER;
C_HAS_SOFTECC_INPUT_REGS_A : INTEGER;
C_HAS_SOFTECC_OUTPUT_REGS_B : INTEGER;
C_USE_SOFTECC : INTEGER;
C_USE_ECC : INTEGER;
C_EN_ECC_PIPE : INTEGER;
C_HAS_INJECTERR : INTEGER;
C_SIM_COLLISION_CHECK : STRING;
C_COMMON_CLK : INTEGER;
C_DISABLE_WARN_BHV_COLL : INTEGER;
C_EN_SLEEP_PIN : INTEGER;
C_USE_URAM : INTEGER;
C_EN_RDADDRA_CHG : INTEGER;
C_EN_RDADDRB_CHG : INTEGER;
C_EN_DEEPSLEEP_PIN : INTEGER;
C_EN_SHUTDOWN_PIN : INTEGER;
C_EN_SAFETY_CKT : INTEGER;
C_DISABLE_WARN_BHV_RANGE : INTEGER;
C_COUNT_36K_BRAM : STRING;
C_COUNT_18K_BRAM : STRING;
C_EST_POWER_SUMMARY : STRING
);
PORT (
clka : IN STD_LOGIC;
rsta : IN STD_LOGIC;
ena : IN STD_LOGIC;
regcea : IN STD_LOGIC;
wea : IN STD_LOGIC_VECTOR(3 DOWNTO 0);
addra : IN STD_LOGIC_VECTOR(31 DOWNTO 0);
dina : IN STD_LOGIC_VECTOR(31 DOWNTO 0);
douta : OUT STD_LOGIC_VECTOR(31 DOWNTO 0);
clkb : IN STD_LOGIC;
rstb : IN STD_LOGIC;
enb : IN STD_LOGIC;
regceb : IN STD_LOGIC;
web : IN STD_LOGIC_VECTOR(3 DOWNTO 0);
addrb : IN STD_LOGIC_VECTOR(31 DOWNTO 0);
dinb : IN STD_LOGIC_VECTOR(31 DOWNTO 0);
doutb : OUT STD_LOGIC_VECTOR(31 DOWNTO 0);
injectsbiterr : IN STD_LOGIC;
injectdbiterr : IN STD_LOGIC;
eccpipece : IN STD_LOGIC;
sbiterr : OUT STD_LOGIC;
dbiterr : OUT STD_LOGIC;
rdaddrecc : OUT STD_LOGIC_VECTOR(31 DOWNTO 0);
sleep : IN STD_LOGIC;
deepsleep : IN STD_LOGIC;
shutdown : IN STD_LOGIC;
rsta_busy : OUT STD_LOGIC;
rstb_busy : OUT STD_LOGIC;
s_aclk : IN STD_LOGIC;
s_aresetn : IN STD_LOGIC;
s_axi_awid : IN STD_LOGIC_VECTOR(3 DOWNTO 0);
s_axi_awaddr : IN STD_LOGIC_VECTOR(31 DOWNTO 0);
s_axi_awlen : IN STD_LOGIC_VECTOR(7 DOWNTO 0);
s_axi_awsize : IN STD_LOGIC_VECTOR(2 DOWNTO 0);
s_axi_awburst : IN STD_LOGIC_VECTOR(1 DOWNTO 0);
s_axi_awvalid : IN STD_LOGIC;
s_axi_awready : OUT STD_LOGIC;
s_axi_wdata : IN STD_LOGIC_VECTOR(31 DOWNTO 0);
s_axi_wstrb : IN STD_LOGIC_VECTOR(3 DOWNTO 0);
s_axi_wlast : IN STD_LOGIC;
s_axi_wvalid : IN STD_LOGIC;
s_axi_wready : OUT STD_LOGIC;
s_axi_bid : OUT STD_LOGIC_VECTOR(3 DOWNTO 0);
s_axi_bresp : OUT STD_LOGIC_VECTOR(1 DOWNTO 0);
s_axi_bvalid : OUT STD_LOGIC;
s_axi_bready : IN STD_LOGIC;
s_axi_arid : IN STD_LOGIC_VECTOR(3 DOWNTO 0);
s_axi_araddr : IN STD_LOGIC_VECTOR(31 DOWNTO 0);
s_axi_arlen : IN STD_LOGIC_VECTOR(7 DOWNTO 0);
s_axi_arsize : IN STD_LOGIC_VECTOR(2 DOWNTO 0);
s_axi_arburst : IN STD_LOGIC_VECTOR(1 DOWNTO 0);
s_axi_arvalid : IN STD_LOGIC;
s_axi_arready : OUT STD_LOGIC;
s_axi_rid : OUT STD_LOGIC_VECTOR(3 DOWNTO 0);
s_axi_rdata : OUT STD_LOGIC_VECTOR(31 DOWNTO 0);
s_axi_rresp : OUT STD_LOGIC_VECTOR(1 DOWNTO 0);
s_axi_rlast : OUT STD_LOGIC;
s_axi_rvalid : OUT STD_LOGIC;
s_axi_rready : IN STD_LOGIC;
s_axi_injectsbiterr : IN STD_LOGIC;
s_axi_injectdbiterr : IN STD_LOGIC;
s_axi_sbiterr : OUT STD_LOGIC;
s_axi_dbiterr : OUT STD_LOGIC;
s_axi_rdaddrecc : OUT STD_LOGIC_VECTOR(31 DOWNTO 0)
);
END COMPONENT blk_mem_gen_v8_4_0;
ATTRIBUTE X_CORE_INFO : STRING;
ATTRIBUTE X_CORE_INFO OF design_1_blk_mem_gen_0_3_arch: ARCHITECTURE IS "blk_mem_gen_v8_4_0,Vivado 2017.3";
ATTRIBUTE CHECK_LICENSE_TYPE : STRING;
ATTRIBUTE CHECK_LICENSE_TYPE OF design_1_blk_mem_gen_0_3_arch : ARCHITECTURE IS "design_1_blk_mem_gen_0_3,blk_mem_gen_v8_4_0,{}";
ATTRIBUTE CORE_GENERATION_INFO : STRING;
ATTRIBUTE CORE_GENERATION_INFO OF design_1_blk_mem_gen_0_3_arch: ARCHITECTURE IS "design_1_blk_mem_gen_0_3,blk_mem_gen_v8_4_0,{x_ipProduct=Vivado 2017.3,x_ipVendor=xilinx.com,x_ipLibrary=ip,x_ipName=blk_mem_gen,x_ipVersion=8.4,x_ipCoreRevision=0,x_ipLanguage=VERILOG,x_ipSimLanguage=MIXED,C_FAMILY=zynq,C_XDEVICEFAMILY=zynq,C_ELABORATION_DIR=./,C_INTERFACE_TYPE=0,C_AXI_TYPE=1,C_AXI_SLAVE_TYPE=0,C_USE_BRAM_BLOCK=1,C_ENABLE_32BIT_ADDRESS=1,C_CTRL_ECC_ALGO=NONE,C_HAS_AXI_ID=0,C_AXI_ID_WIDTH=4,C_MEM_TYPE=2,C_BYTE_SIZE=8,C_ALGORITHM=1,C_PRIM_TYPE=1,C_LOAD_INIT_FILE=0,C_INIT_FILE_NAM" &
"E=no_coe_file_loaded,C_INIT_FILE=NONE,C_USE_DEFAULT_DATA=0,C_DEFAULT_DATA=0,C_HAS_RSTA=1,C_RST_PRIORITY_A=CE,C_RSTRAM_A=0,C_INITA_VAL=0,C_HAS_ENA=1,C_HAS_REGCEA=0,C_USE_BYTE_WEA=1,C_WEA_WIDTH=4,C_WRITE_MODE_A=WRITE_FIRST,C_WRITE_WIDTH_A=32,C_READ_WIDTH_A=32,C_WRITE_DEPTH_A=2048,C_READ_DEPTH_A=2048,C_ADDRA_WIDTH=32,C_HAS_RSTB=1,C_RST_PRIORITY_B=CE,C_RSTRAM_B=0,C_INITB_VAL=0,C_HAS_ENB=1,C_HAS_REGCEB=0,C_USE_BYTE_WEB=1,C_WEB_WIDTH=4,C_WRITE_MODE_B=WRITE_FIRST,C_WRITE_WIDTH_B=32,C_READ_WIDTH_B=32,C_" &
"WRITE_DEPTH_B=2048,C_READ_DEPTH_B=2048,C_ADDRB_WIDTH=32,C_HAS_MEM_OUTPUT_REGS_A=0,C_HAS_MEM_OUTPUT_REGS_B=0,C_HAS_MUX_OUTPUT_REGS_A=0,C_HAS_MUX_OUTPUT_REGS_B=0,C_MUX_PIPELINE_STAGES=0,C_HAS_SOFTECC_INPUT_REGS_A=0,C_HAS_SOFTECC_OUTPUT_REGS_B=0,C_USE_SOFTECC=0,C_USE_ECC=0,C_EN_ECC_PIPE=0,C_HAS_INJECTERR=0,C_SIM_COLLISION_CHECK=ALL,C_COMMON_CLK=0,C_DISABLE_WARN_BHV_COLL=0,C_EN_SLEEP_PIN=0,C_USE_URAM=0,C_EN_RDADDRA_CHG=0,C_EN_RDADDRB_CHG=0,C_EN_DEEPSLEEP_PIN=0,C_EN_SHUTDOWN_PIN=0,C_EN_SAFETY_CKT=0,C" &
"_DISABLE_WARN_BHV_RANGE=0,C_COUNT_36K_BRAM=2,C_COUNT_18K_BRAM=0,C_EST_POWER_SUMMARY=Estimated Power for IP _ 10.7492 mW}";
ATTRIBUTE X_INTERFACE_INFO : STRING;
ATTRIBUTE X_INTERFACE_PARAMETER : STRING;
ATTRIBUTE X_INTERFACE_INFO OF doutb: SIGNAL IS "xilinx.com:interface:bram:1.0 BRAM_PORTB DOUT";
ATTRIBUTE X_INTERFACE_INFO OF dinb: SIGNAL IS "xilinx.com:interface:bram:1.0 BRAM_PORTB DIN";
ATTRIBUTE X_INTERFACE_INFO OF addrb: SIGNAL IS "xilinx.com:interface:bram:1.0 BRAM_PORTB ADDR";
ATTRIBUTE X_INTERFACE_INFO OF web: SIGNAL IS "xilinx.com:interface:bram:1.0 BRAM_PORTB WE";
ATTRIBUTE X_INTERFACE_INFO OF enb: SIGNAL IS "xilinx.com:interface:bram:1.0 BRAM_PORTB EN";
ATTRIBUTE X_INTERFACE_INFO OF rstb: SIGNAL IS "xilinx.com:interface:bram:1.0 BRAM_PORTB RST";
ATTRIBUTE X_INTERFACE_PARAMETER OF clkb: SIGNAL IS "XIL_INTERFACENAME BRAM_PORTB, MEM_SIZE 108, MEM_WIDTH 32, MEM_ECC NONE, MASTER_TYPE BRAM_CTRL, READ_WRITE_MODE READ_WRITE";
ATTRIBUTE X_INTERFACE_INFO OF clkb: SIGNAL IS "xilinx.com:interface:bram:1.0 BRAM_PORTB CLK";
ATTRIBUTE X_INTERFACE_INFO OF douta: SIGNAL IS "xilinx.com:interface:bram:1.0 BRAM_PORTA DOUT";
ATTRIBUTE X_INTERFACE_INFO OF dina: SIGNAL IS "xilinx.com:interface:bram:1.0 BRAM_PORTA DIN";
ATTRIBUTE X_INTERFACE_INFO OF addra: SIGNAL IS "xilinx.com:interface:bram:1.0 BRAM_PORTA ADDR";
ATTRIBUTE X_INTERFACE_INFO OF wea: SIGNAL IS "xilinx.com:interface:bram:1.0 BRAM_PORTA WE";
ATTRIBUTE X_INTERFACE_INFO OF ena: SIGNAL IS "xilinx.com:interface:bram:1.0 BRAM_PORTA EN";
ATTRIBUTE X_INTERFACE_INFO OF rsta: SIGNAL IS "xilinx.com:interface:bram:1.0 BRAM_PORTA RST";
ATTRIBUTE X_INTERFACE_PARAMETER OF clka: SIGNAL IS "XIL_INTERFACENAME BRAM_PORTA, MEM_SIZE 8192, MEM_WIDTH 32, MEM_ECC NONE, MASTER_TYPE BRAM_CTRL, READ_WRITE_MODE READ_WRITE";
ATTRIBUTE X_INTERFACE_INFO OF clka: SIGNAL IS "xilinx.com:interface:bram:1.0 BRAM_PORTA CLK";
BEGIN
U0 : blk_mem_gen_v8_4_0
GENERIC MAP (
C_FAMILY => "zynq",
C_XDEVICEFAMILY => "zynq",
C_ELABORATION_DIR => "./",
C_INTERFACE_TYPE => 0,
C_AXI_TYPE => 1,
C_AXI_SLAVE_TYPE => 0,
C_USE_BRAM_BLOCK => 1,
C_ENABLE_32BIT_ADDRESS => 1,
C_CTRL_ECC_ALGO => "NONE",
C_HAS_AXI_ID => 0,
C_AXI_ID_WIDTH => 4,
C_MEM_TYPE => 2,
C_BYTE_SIZE => 8,
C_ALGORITHM => 1,
C_PRIM_TYPE => 1,
C_LOAD_INIT_FILE => 0,
C_INIT_FILE_NAME => "no_coe_file_loaded",
C_INIT_FILE => "NONE",
C_USE_DEFAULT_DATA => 0,
C_DEFAULT_DATA => "0",
C_HAS_RSTA => 1,
C_RST_PRIORITY_A => "CE",
C_RSTRAM_A => 0,
C_INITA_VAL => "0",
C_HAS_ENA => 1,
C_HAS_REGCEA => 0,
C_USE_BYTE_WEA => 1,
C_WEA_WIDTH => 4,
C_WRITE_MODE_A => "WRITE_FIRST",
C_WRITE_WIDTH_A => 32,
C_READ_WIDTH_A => 32,
C_WRITE_DEPTH_A => 2048,
C_READ_DEPTH_A => 2048,
C_ADDRA_WIDTH => 32,
C_HAS_RSTB => 1,
C_RST_PRIORITY_B => "CE",
C_RSTRAM_B => 0,
C_INITB_VAL => "0",
C_HAS_ENB => 1,
C_HAS_REGCEB => 0,
C_USE_BYTE_WEB => 1,
C_WEB_WIDTH => 4,
C_WRITE_MODE_B => "WRITE_FIRST",
C_WRITE_WIDTH_B => 32,
C_READ_WIDTH_B => 32,
C_WRITE_DEPTH_B => 2048,
C_READ_DEPTH_B => 2048,
C_ADDRB_WIDTH => 32,
C_HAS_MEM_OUTPUT_REGS_A => 0,
C_HAS_MEM_OUTPUT_REGS_B => 0,
C_HAS_MUX_OUTPUT_REGS_A => 0,
C_HAS_MUX_OUTPUT_REGS_B => 0,
C_MUX_PIPELINE_STAGES => 0,
C_HAS_SOFTECC_INPUT_REGS_A => 0,
C_HAS_SOFTECC_OUTPUT_REGS_B => 0,
C_USE_SOFTECC => 0,
C_USE_ECC => 0,
C_EN_ECC_PIPE => 0,
C_HAS_INJECTERR => 0,
C_SIM_COLLISION_CHECK => "ALL",
C_COMMON_CLK => 0,
C_DISABLE_WARN_BHV_COLL => 0,
C_EN_SLEEP_PIN => 0,
C_USE_URAM => 0,
C_EN_RDADDRA_CHG => 0,
C_EN_RDADDRB_CHG => 0,
C_EN_DEEPSLEEP_PIN => 0,
C_EN_SHUTDOWN_PIN => 0,
C_EN_SAFETY_CKT => 0,
C_DISABLE_WARN_BHV_RANGE => 0,
C_COUNT_36K_BRAM => "2",
C_COUNT_18K_BRAM => "0",
C_EST_POWER_SUMMARY => "Estimated Power for IP : 10.7492 mW"
)
PORT MAP (
clka => clka,
rsta => rsta,
ena => ena,
regcea => '0',
wea => wea,
addra => addra,
dina => dina,
douta => douta,
clkb => clkb,
rstb => rstb,
enb => enb,
regceb => '0',
web => web,
addrb => addrb,
dinb => dinb,
doutb => doutb,
injectsbiterr => '0',
injectdbiterr => '0',
eccpipece => '0',
sleep => '0',
deepsleep => '0',
shutdown => '0',
s_aclk => '0',
s_aresetn => '0',
s_axi_awid => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 4)),
s_axi_awaddr => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 32)),
s_axi_awlen => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 8)),
s_axi_awsize => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 3)),
s_axi_awburst => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 2)),
s_axi_awvalid => '0',
s_axi_wdata => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 32)),
s_axi_wstrb => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 4)),
s_axi_wlast => '0',
s_axi_wvalid => '0',
s_axi_bready => '0',
s_axi_arid => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 4)),
s_axi_araddr => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 32)),
s_axi_arlen => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 8)),
s_axi_arsize => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 3)),
s_axi_arburst => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 2)),
s_axi_arvalid => '0',
s_axi_rready => '0',
s_axi_injectsbiterr => '0',
s_axi_injectdbiterr => '0'
);
END design_1_blk_mem_gen_0_3_arch;
|
context c1;
context c2;
context my_lib.c1;
context my_lib.c2;
|
-----------------------------------------------------------------------------
-- LEON3 Demonstration design test bench configuration
-- Copyright (C) 2009 Aeroflex Gaisler
------------------------------------------------------------------------------
library techmap;
use techmap.gencomp.all;
package config is
-- Technology and synthesis options
constant CFG_FABTECH : integer := kintex7;
constant CFG_MEMTECH : integer := kintex7;
constant CFG_PADTECH : integer := kintex7;
constant CFG_NOASYNC : integer := 0;
constant CFG_SCAN : integer := 0;
-- Clock generator
constant CFG_CLKTECH : integer := kintex7;
constant CFG_CLKMUL : integer := (4);
constant CFG_CLKDIV : integer := (8);
constant CFG_OCLKDIV : integer := 1;
constant CFG_OCLKBDIV : integer := 0;
constant CFG_OCLKCDIV : integer := 0;
constant CFG_PCIDLL : integer := 0;
constant CFG_PCISYSCLK: integer := 0;
constant CFG_CLK_NOFB : integer := 0;
-- LEON3 processor core
constant CFG_LEON3 : integer := 1;
constant CFG_NCPU : integer := (1);
constant CFG_NWIN : integer := (8);
constant CFG_V8 : integer := 1 + 4*0;
constant CFG_MAC : integer := 0;
constant CFG_BP : integer := 1;
constant CFG_SVT : integer := 1;
constant CFG_RSTADDR : integer := 16#00000#;
constant CFG_LDDEL : integer := (1);
constant CFG_NOTAG : integer := 0;
constant CFG_NWP : integer := (4);
constant CFG_PWD : integer := 1*2;
constant CFG_FPU : integer := 0 + 16*0 + 32*0;
constant CFG_GRFPUSH : integer := 0;
constant CFG_ICEN : integer := 1;
constant CFG_ISETS : integer := 2;
constant CFG_ISETSZ : integer := 4;
constant CFG_ILINE : integer := 4;
constant CFG_IREPL : integer := 0;
constant CFG_ILOCK : integer := 0;
constant CFG_ILRAMEN : integer := 0;
constant CFG_ILRAMADDR: integer := 16#8E#;
constant CFG_ILRAMSZ : integer := 1;
constant CFG_DCEN : integer := 1;
constant CFG_DSETS : integer := 2;
constant CFG_DSETSZ : integer := 4;
constant CFG_DLINE : integer := 4;
constant CFG_DREPL : integer := 0;
constant CFG_DLOCK : integer := 0;
constant CFG_DSNOOP : integer := 1*2 + 4*1;
constant CFG_DFIXED : integer := 16#0#;
constant CFG_DLRAMEN : integer := 0;
constant CFG_DLRAMADDR: integer := 16#8F#;
constant CFG_DLRAMSZ : integer := 1;
constant CFG_MMUEN : integer := 1;
constant CFG_ITLBNUM : integer := 16;
constant CFG_DTLBNUM : integer := 16;
constant CFG_TLB_TYPE : integer := 0 + 1*2;
constant CFG_TLB_REP : integer := 0;
constant CFG_MMU_PAGE : integer := 0;
constant CFG_DSU : integer := 1;
constant CFG_ITBSZ : integer := 4;
constant CFG_ATBSZ : integer := 4;
constant CFG_LEON3FT_EN : integer := 0;
constant CFG_IUFT_EN : integer := 0;
constant CFG_FPUFT_EN : integer := 0;
constant CFG_RF_ERRINJ : integer := 0;
constant CFG_CACHE_FT_EN : integer := 0;
constant CFG_CACHE_ERRINJ : integer := 0;
constant CFG_LEON3_NETLIST: integer := 0;
constant CFG_DISAS : integer := 1 + 0;
constant CFG_PCLOW : integer := 0;
-- AMBA settings
constant CFG_DEFMST : integer := (0);
constant CFG_RROBIN : integer := 1;
constant CFG_SPLIT : integer := 0;
constant CFG_FPNPEN : integer := 1;
constant CFG_AHBIO : integer := 16#FFF#;
constant CFG_APBADDR : integer := 16#800#;
constant CFG_AHB_MON : integer := 0;
constant CFG_AHB_MONERR : integer := 0;
constant CFG_AHB_MONWAR : integer := 0;
constant CFG_AHB_DTRACE : integer := 0;
-- DSU UART
constant CFG_AHB_UART : integer := 1;
-- JTAG based DSU interface
constant CFG_AHB_JTAG : integer := 1;
-- Ethernet DSU
constant CFG_DSU_ETH : integer := 1 + 0 + 0;
constant CFG_ETH_BUF : integer := 2;
constant CFG_ETH_IPM : integer := 16#C0A8#;
constant CFG_ETH_IPL : integer := 16#0033#;
constant CFG_ETH_ENM : integer := 16#020000#;
constant CFG_ETH_ENL : integer := 16#000000#;
-- LEON2 memory controller
constant CFG_MCTRL_LEON2 : integer := 1;
constant CFG_MCTRL_RAM8BIT : integer := 1;
constant CFG_MCTRL_RAM16BIT : integer := 1;
constant CFG_MCTRL_5CS : integer := 0;
constant CFG_MCTRL_SDEN : integer := 0;
constant CFG_MCTRL_SEPBUS : integer := 0;
constant CFG_MCTRL_INVCLK : integer := 0;
constant CFG_MCTRL_SD64 : integer := 0;
constant CFG_MCTRL_PAGE : integer := 0 + 0;
-- Xilinx MIG
constant CFG_MIG_DDR2 : integer := 0;
constant CFG_MIG_RANKS : integer := 1;
constant CFG_MIG_COLBITS : integer := 10;
constant CFG_MIG_ROWBITS : integer := 13;
constant CFG_MIG_BANKBITS: integer := 2;
constant CFG_MIG_HMASK : integer := 16#F00#;
-- Xilinx MIG Series 7
constant CFG_MIG_SERIES7 : integer := 1;
constant CFG_MIG_SERIES7_MODEL : integer := 0;
-- AHB status register
constant CFG_AHBSTAT : integer := 0;
constant CFG_AHBSTATN : integer := 1;
-- AHB ROM
constant CFG_AHBROMEN : integer := 0;
constant CFG_AHBROPIP : integer := 0;
constant CFG_AHBRODDR : integer := 16#000#;
constant CFG_ROMADDR : integer := 16#000#;
constant CFG_ROMMASK : integer := 16#E00# + 16#000#;
-- AHB RAM
constant CFG_AHBRAMEN : integer := 1;
constant CFG_AHBRSZ : integer := 4;
constant CFG_AHBRADDR : integer := 16#A00#;
constant CFG_AHBRPIPE : integer := 0;
-- Gaisler Ethernet core
constant CFG_GRETH : integer := 1;
constant CFG_GRETH1G : integer := 0;
constant CFG_ETH_FIFO : integer := 8;
constant CFG_GRETH_FT : integer := 0;
constant CFG_GRETH_EDCLFT : integer := 0;
-- UART 1
constant CFG_UART1_ENABLE : integer := 1;
constant CFG_UART1_FIFO : integer := 32;
-- LEON3 interrupt controller
constant CFG_IRQ3_ENABLE : integer := 1;
constant CFG_IRQ3_NSEC : integer := 0;
-- Modular timer
constant CFG_GPT_ENABLE : integer := 1;
constant CFG_GPT_NTIM : integer := (2);
constant CFG_GPT_SW : integer := (8);
constant CFG_GPT_TW : integer := (32);
constant CFG_GPT_IRQ : integer := (8);
constant CFG_GPT_SEPIRQ : integer := 1;
constant CFG_GPT_WDOGEN : integer := 0;
constant CFG_GPT_WDOG : integer := 16#0#;
-- GPIO port
constant CFG_GRGPIO_ENABLE : integer := 1;
constant CFG_GRGPIO_IMASK : integer := 16#0000#;
constant CFG_GRGPIO_WIDTH : integer := (7);
-- I2C master
constant CFG_I2C_ENABLE : integer := 1;
-- VGA and PS2/ interface
constant CFG_KBD_ENABLE : integer := 0;
constant CFG_VGA_ENABLE : integer := 0;
constant CFG_SVGA_ENABLE : integer := 0;
-- SPI memory controller
constant CFG_SPIMCTRL : integer := 0;
constant CFG_SPIMCTRL_SDCARD : integer := 0;
constant CFG_SPIMCTRL_READCMD : integer := 16#0#;
constant CFG_SPIMCTRL_DUMMYBYTE : integer := 0;
constant CFG_SPIMCTRL_DUALOUTPUT : integer := 0;
constant CFG_SPIMCTRL_SCALER : integer := 1;
constant CFG_SPIMCTRL_ASCALER : integer := 1;
constant CFG_SPIMCTRL_PWRUPCNT : integer := 0;
constant CFG_SPIMCTRL_OFFSET : integer := 16#0#;
-- SPI controller
constant CFG_SPICTRL_ENABLE : integer := 0;
constant CFG_SPICTRL_NUM : integer := 1;
constant CFG_SPICTRL_SLVS : integer := 1;
constant CFG_SPICTRL_FIFO : integer := 1;
constant CFG_SPICTRL_SLVREG : integer := 0;
constant CFG_SPICTRL_ODMODE : integer := 0;
constant CFG_SPICTRL_AM : integer := 0;
constant CFG_SPICTRL_ASEL : integer := 0;
constant CFG_SPICTRL_TWEN : integer := 0;
constant CFG_SPICTRL_MAXWLEN : integer := 0;
constant CFG_SPICTRL_SYNCRAM : integer := 0;
constant CFG_SPICTRL_FT : integer := 0;
-- GRLIB debugging
constant CFG_DUART : integer := 0;
end;
|
entity FIFO is
end entity fifo;
entity FIFO is
end entity fifo;
entity FIFO is
end entity fifo;
|
library ieee;
use ieee.std_logic_1164.all;
use ieee.std_logic_arith.all;
use ieee.std_logic_unsigned.all;
entity adder is
port(A : in std_logic;
B : in std_logic;
carryIn : in std_logic;
carryOut : out std_logic;
fnord : out std_logic;
baz : out std_logic_vector(7 downto 0);
clock : in std_logic;
sum : out std_logic);
end adder;
architecture behv of adder is
function rising_edge(c : in std_logic) return std_logic;
begin
process(A) is
begin
baz <= "00101100";
case "100" is
when "000" =>
if rising_edge(clock) then
A <= '0';
end if;
when "001" => A <= '1';
when "010" => A <= '1';
when "011" => B <= '1';
when "100" => A <= '0';
when "101" => A <= '1';
when "110" => A <= '1';
when "111" => A <= '1';
end case;
end process;
end behv;
|
-- Copyright (C) 2001 Bill Billowitch.
-- Some of the work to develop this test suite was done with Air Force
-- support. The Air Force and Bill Billowitch assume no
-- responsibilities for this software.
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: tc1383.vhd,v 1.2 2001-10-26 16:30:09 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c08s05b00x00p03n01i01383ent IS
END c08s05b00x00p03n01i01383ent;
ARCHITECTURE c08s05b00x00p03n01i01383arch OF c08s05b00x00p03n01i01383ent IS
BEGIN
TESTING: PROCESS
variable v1 : integer := 0;
BEGIN
ch0805_p00301_29_arch := v1; -- illegal name target
assert FALSE
report "***FAILED TEST: c08s05b00x00p03n01i01383 - Target of a variable assignment can not be the name of an architecture body."
severity ERROR;
wait;
END PROCESS TESTING;
END c08s05b00x00p03n01i01383arch;
|
-- Copyright (C) 2001 Bill Billowitch.
-- Some of the work to develop this test suite was done with Air Force
-- support. The Air Force and Bill Billowitch assume no
-- responsibilities for this software.
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: tc1383.vhd,v 1.2 2001-10-26 16:30:09 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c08s05b00x00p03n01i01383ent IS
END c08s05b00x00p03n01i01383ent;
ARCHITECTURE c08s05b00x00p03n01i01383arch OF c08s05b00x00p03n01i01383ent IS
BEGIN
TESTING: PROCESS
variable v1 : integer := 0;
BEGIN
ch0805_p00301_29_arch := v1; -- illegal name target
assert FALSE
report "***FAILED TEST: c08s05b00x00p03n01i01383 - Target of a variable assignment can not be the name of an architecture body."
severity ERROR;
wait;
END PROCESS TESTING;
END c08s05b00x00p03n01i01383arch;
|
-- Copyright (C) 2001 Bill Billowitch.
-- Some of the work to develop this test suite was done with Air Force
-- support. The Air Force and Bill Billowitch assume no
-- responsibilities for this software.
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs is free software; you can redistribute it and/or modify it
-- under the terms of the GNU General Public License as published by the
-- Free Software Foundation; either version 2 of the License, or (at
-- your option) any later version.
-- VESTs is distributed in the hope that it will be useful, but WITHOUT
-- ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
-- FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
-- for more details.
-- You should have received a copy of the GNU General Public License
-- along with VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: tc1383.vhd,v 1.2 2001-10-26 16:30:09 paw Exp $
-- $Revision: 1.2 $
--
-- ---------------------------------------------------------------------
ENTITY c08s05b00x00p03n01i01383ent IS
END c08s05b00x00p03n01i01383ent;
ARCHITECTURE c08s05b00x00p03n01i01383arch OF c08s05b00x00p03n01i01383ent IS
BEGIN
TESTING: PROCESS
variable v1 : integer := 0;
BEGIN
ch0805_p00301_29_arch := v1; -- illegal name target
assert FALSE
report "***FAILED TEST: c08s05b00x00p03n01i01383 - Target of a variable assignment can not be the name of an architecture body."
severity ERROR;
wait;
END PROCESS TESTING;
END c08s05b00x00p03n01i01383arch;
|
-- highpass_filter_tb.vhd
-- Jan Viktorin <[email protected]>
-- Copyright (C) 2011, 2012 Jan Viktorin
library ieee;
use ieee.std_logic_1164.all;
use ieee.std_logic_arith.all;
use ieee.std_logic_unsigned.all;
entity highpass_filter_tb is
end entity;
architecture testbench of highpass_filter_tb is
signal clk : std_logic;
signal rst : std_logic;
signal win_r : std_logic_vector(71 downto 0);
signal win_g : std_logic_vector(71 downto 0);
signal win_b : std_logic_vector(71 downto 0);
signal win_de : std_logic_vector(8 downto 0);
signal win_hs : std_logic_vector(8 downto 0);
signal win_vs : std_logic_vector(8 downto 0);
signal out_r : std_logic_vector(7 downto 0);
signal out_g : std_logic_vector(7 downto 0);
signal out_b : std_logic_vector(7 downto 0);
signal out_de : std_logic;
signal out_hs : std_logic;
signal out_vs : std_logic;
begin
clkgen_i : entity work.clkgen
port map (
CLK => clk,
RST => rst
);
gen_i : entity work.vga_matrix_gen
port map (
CLK => clk,
RST => rst,
R => win_r,
G => win_g,
B => win_b,
HS => win_hs,
VS => win_vs,
DE => win_de
);
dut_i : entity work.highpass_filter
port map (
CLK => clk,
CE => '1',
WIN_R => win_r,
WIN_G => win_g,
WIN_B => win_b,
WIN_DE => win_de,
WIN_HS => win_hs,
WIN_VS => win_vs,
OUT_R => out_r,
OUT_G => out_g,
OUT_B => out_b,
OUT_DE => out_de,
OUT_HS => out_hs,
OUT_VS => out_vs
);
rgb_mon_i : entity work.file_pixel_mon
port map (
CLK => clk,
RST => rst,
R => out_r,
G => out_g,
B => out_b,
DE => out_de,
HS => out_hs,
VS => out_vs
);
end architecture;
|
component Avalon_Test_Streaming is
end component Avalon_Test_Streaming;
u0 : component Avalon_Test_Streaming
port map (
);
|
entity test2 is
begin
end entity;
architecture arch of test2 is
begin
process(all)
begin
loop
exit;
end loop;
end process;
end architecture;
|
library ieee;
use ieee.std_logic_1164.all;
library ieee;
use ieee.numeric_std.all;
entity sub_562 is
port (
result : out std_logic_vector(31 downto 0);
in_a : in std_logic_vector(31 downto 0);
in_b : in std_logic_vector(31 downto 0)
);
end sub_562;
architecture augh of sub_562 is
signal carry_inA : std_logic_vector(33 downto 0);
signal carry_inB : std_logic_vector(33 downto 0);
signal carry_res : std_logic_vector(33 downto 0);
begin
-- To handle the CI input, the operation is '0' - CI
-- If CI is not present, the operation is '0' - '0'
carry_inA <= '0' & in_a & '0';
carry_inB <= '0' & in_b & '0';
-- Compute the result
carry_res <= std_logic_vector(unsigned(carry_inA) - unsigned(carry_inB));
-- Set the outputs
result <= carry_res(32 downto 1);
end architecture;
|
library ieee;
use ieee.std_logic_1164.all;
library ieee;
use ieee.numeric_std.all;
entity sub_562 is
port (
result : out std_logic_vector(31 downto 0);
in_a : in std_logic_vector(31 downto 0);
in_b : in std_logic_vector(31 downto 0)
);
end sub_562;
architecture augh of sub_562 is
signal carry_inA : std_logic_vector(33 downto 0);
signal carry_inB : std_logic_vector(33 downto 0);
signal carry_res : std_logic_vector(33 downto 0);
begin
-- To handle the CI input, the operation is '0' - CI
-- If CI is not present, the operation is '0' - '0'
carry_inA <= '0' & in_a & '0';
carry_inB <= '0' & in_b & '0';
-- Compute the result
carry_res <= std_logic_vector(unsigned(carry_inA) - unsigned(carry_inB));
-- Set the outputs
result <= carry_res(32 downto 1);
end architecture;
|
--========================================================================================================================
-- Copyright (c) 2015 by Bitvis AS. All rights reserved.
-- A free license is hereby granted, free of charge, to any person obtaining
-- a copy of this VHDL code and associated documentation files (for 'Bitvis Utility Library'),
-- to use, copy, modify, merge, publish and/or distribute - subject to the following conditions:
-- - This copyright notice shall be included as is in all copies or substantial portions of the code and documentation
-- - The files included in Bitvis Utility Library may only be used as a part of this library as a whole
-- - The License file may not be modified
-- - The calls in the code to the license file ('show_license') may not be removed or modified.
-- - No other conditions whatsoever may be added to those of this License
-- BITVIS UTILITY LIBRARY AND ANY PART THEREOF ARE PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED,
-- INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
-- IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
-- WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH BITVIS UTILITY LIBRARY.
--========================================================================================================================
------------------------------------------------------------------------------------------
-- VHDL unit : Bitvis Utility Library : vhdl_version_layer_pkg
--
-- Description : See library quick reference (under 'doc') and README-file(s)
------------------------------------------------------------------------------------------
library IEEE;
use IEEE.std_logic_1164.all;
use IEEE.numeric_std.all;
library ieee;
use ieee.std_logic_1164.all;
use std.textio.all;
library ieee_proposed;
use ieee_proposed.standard_additions.all;
use ieee_proposed.standard_textio_additions.all;
use work.types_pkg.all;
use work.adaptations_pkg.all;
use work.string_methods_pkg.all;
package vhdl_version_layer_pkg is
impure function get_alert_counter(
alert_level: t_alert_level;
attention : t_attention := REGARD
) return natural;
procedure increment_alert_counter(
alert_level: t_alert_level;
attention : t_attention := REGARD; -- regard, expect, ignore
number : natural := 1
);
procedure report_alert_counters(
order : t_order
);
end package vhdl_version_layer_pkg;
--=============================================================================
--=============================================================================
package body vhdl_version_layer_pkg is
-- Shared variable for all the alert counters for different attention
shared variable shared_alert_attention_counters : t_alert_attention_counters;
impure function get_alert_counter(
alert_level: t_alert_level;
attention : t_attention := REGARD
) return natural is
begin
return shared_alert_attention_counters(alert_level)(attention);
end;
procedure increment_alert_counter(
alert_level: t_alert_level;
attention : t_attention := REGARD; -- regard, expect, ignore
number : natural := 1
) is
begin
shared_alert_attention_counters(alert_level)(attention) :=
shared_alert_attention_counters(alert_level)(attention) + number;
end;
procedure report_alert_counters(
order : t_order
) is
begin
to_string(shared_alert_attention_counters, order);
end;
end package body vhdl_version_layer_pkg;
|
--========================================================================================================================
-- Copyright (c) 2015 by Bitvis AS. All rights reserved.
-- A free license is hereby granted, free of charge, to any person obtaining
-- a copy of this VHDL code and associated documentation files (for 'Bitvis Utility Library'),
-- to use, copy, modify, merge, publish and/or distribute - subject to the following conditions:
-- - This copyright notice shall be included as is in all copies or substantial portions of the code and documentation
-- - The files included in Bitvis Utility Library may only be used as a part of this library as a whole
-- - The License file may not be modified
-- - The calls in the code to the license file ('show_license') may not be removed or modified.
-- - No other conditions whatsoever may be added to those of this License
-- BITVIS UTILITY LIBRARY AND ANY PART THEREOF ARE PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED,
-- INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
-- IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
-- WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH BITVIS UTILITY LIBRARY.
--========================================================================================================================
------------------------------------------------------------------------------------------
-- VHDL unit : Bitvis Utility Library : vhdl_version_layer_pkg
--
-- Description : See library quick reference (under 'doc') and README-file(s)
------------------------------------------------------------------------------------------
library IEEE;
use IEEE.std_logic_1164.all;
use IEEE.numeric_std.all;
library ieee;
use ieee.std_logic_1164.all;
use std.textio.all;
library ieee_proposed;
use ieee_proposed.standard_additions.all;
use ieee_proposed.standard_textio_additions.all;
use work.types_pkg.all;
use work.adaptations_pkg.all;
use work.string_methods_pkg.all;
package vhdl_version_layer_pkg is
impure function get_alert_counter(
alert_level: t_alert_level;
attention : t_attention := REGARD
) return natural;
procedure increment_alert_counter(
alert_level: t_alert_level;
attention : t_attention := REGARD; -- regard, expect, ignore
number : natural := 1
);
procedure report_alert_counters(
order : t_order
);
end package vhdl_version_layer_pkg;
--=============================================================================
--=============================================================================
package body vhdl_version_layer_pkg is
-- Shared variable for all the alert counters for different attention
shared variable shared_alert_attention_counters : t_alert_attention_counters;
impure function get_alert_counter(
alert_level: t_alert_level;
attention : t_attention := REGARD
) return natural is
begin
return shared_alert_attention_counters(alert_level)(attention);
end;
procedure increment_alert_counter(
alert_level: t_alert_level;
attention : t_attention := REGARD; -- regard, expect, ignore
number : natural := 1
) is
begin
shared_alert_attention_counters(alert_level)(attention) :=
shared_alert_attention_counters(alert_level)(attention) + number;
end;
procedure report_alert_counters(
order : t_order
) is
begin
to_string(shared_alert_attention_counters, order);
end;
end package body vhdl_version_layer_pkg;
|
--========================================================================================================================
-- Copyright (c) 2015 by Bitvis AS. All rights reserved.
-- A free license is hereby granted, free of charge, to any person obtaining
-- a copy of this VHDL code and associated documentation files (for 'Bitvis Utility Library'),
-- to use, copy, modify, merge, publish and/or distribute - subject to the following conditions:
-- - This copyright notice shall be included as is in all copies or substantial portions of the code and documentation
-- - The files included in Bitvis Utility Library may only be used as a part of this library as a whole
-- - The License file may not be modified
-- - The calls in the code to the license file ('show_license') may not be removed or modified.
-- - No other conditions whatsoever may be added to those of this License
-- BITVIS UTILITY LIBRARY AND ANY PART THEREOF ARE PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED,
-- INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
-- IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
-- WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH BITVIS UTILITY LIBRARY.
--========================================================================================================================
------------------------------------------------------------------------------------------
-- VHDL unit : Bitvis Utility Library : vhdl_version_layer_pkg
--
-- Description : See library quick reference (under 'doc') and README-file(s)
------------------------------------------------------------------------------------------
library IEEE;
use IEEE.std_logic_1164.all;
use IEEE.numeric_std.all;
library ieee;
use ieee.std_logic_1164.all;
use std.textio.all;
library ieee_proposed;
use ieee_proposed.standard_additions.all;
use ieee_proposed.standard_textio_additions.all;
use work.types_pkg.all;
use work.adaptations_pkg.all;
use work.string_methods_pkg.all;
package vhdl_version_layer_pkg is
impure function get_alert_counter(
alert_level: t_alert_level;
attention : t_attention := REGARD
) return natural;
procedure increment_alert_counter(
alert_level: t_alert_level;
attention : t_attention := REGARD; -- regard, expect, ignore
number : natural := 1
);
procedure report_alert_counters(
order : t_order
);
end package vhdl_version_layer_pkg;
--=============================================================================
--=============================================================================
package body vhdl_version_layer_pkg is
-- Shared variable for all the alert counters for different attention
shared variable shared_alert_attention_counters : t_alert_attention_counters;
impure function get_alert_counter(
alert_level: t_alert_level;
attention : t_attention := REGARD
) return natural is
begin
return shared_alert_attention_counters(alert_level)(attention);
end;
procedure increment_alert_counter(
alert_level: t_alert_level;
attention : t_attention := REGARD; -- regard, expect, ignore
number : natural := 1
) is
begin
shared_alert_attention_counters(alert_level)(attention) :=
shared_alert_attention_counters(alert_level)(attention) + number;
end;
procedure report_alert_counters(
order : t_order
) is
begin
to_string(shared_alert_attention_counters, order);
end;
end package body vhdl_version_layer_pkg;
|
------------------------------------------------------------------------------
-- This file is a part of the GRLIB VHDL IP LIBRARY
-- Copyright (C) 2003 - 2008, Gaisler Research
-- Copyright (C) 2008 - 2013, Aeroflex Gaisler
--
-- This program is free software; you can redistribute it and/or modify
-- it under the terms of the GNU General Public License as published by
-- the Free Software Foundation; either version 2 of the License, or
-- (at your option) any later version.
--
-- This program is distributed in the hope that it will be useful,
-- but WITHOUT ANY WARRANTY; without even the implied warranty of
-- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-- GNU General Public License for more details.
--
-- You should have received a copy of the GNU General Public License
-- along with this program; if not, write to the Free Software
-- Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-----------------------------------------------------------------------------
-- package: testlib
-- file: testlib.vhd
-- author: Marko Isomaki - Aeroflex Gaisler
-- description: package for common vhdl functions for testbenches
------------------------------------------------------------------------------
-- pragma translate_off
library std;
use std.standard.all;
use std.textio.all;
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
use ieee.math_real.all;
library grlib;
use grlib.stdio.all;
use grlib.stdlib.tost;
-- pragma translate_on
package testlib is
-- pragma translate_off
type octet_vector is array (natural range <>) of std_logic_vector(7 downto 0);
subtype data_vector8 is octet_vector;
type data_vector16 is array (natural range <>) of std_logic_vector(15 downto 0);
type data_vector32 is array (natural range <>) of std_logic_vector(31 downto 0);
type data_vector64 is array (natural range <>) of std_logic_vector(63 downto 0);
type data_vector128 is array (natural range <>) of std_logic_vector(127 downto 0);
type data_vector256 is array (natural range <>) of std_logic_vector(255 downto 0);
type nibble_vector is array (natural range <>) of std_logic_vector(3 downto 0);
subtype data_vector is data_vector32;
-----------------------------------------------------------------------------
-- compare function handling '-'. c is the expected data parameter. If it is
--'-' or 'U' then this bit is not compared. Returns true if the vectors match
-----------------------------------------------------------------------------
function compare(o, c: in std_logic_vector) return boolean;
-----------------------------------------------------------------------------
-- compare function handling '-'
-----------------------------------------------------------------------------
function compare(o, c: in std_ulogic_vector) return boolean;
-----------------------------------------------------------------------------
-- this procedure prints a message to standard output. Also includes the time
-- at which it occurs.
-----------------------------------------------------------------------------
procedure print(
constant comment: in string := "-";
constant severe: in severity_level := note;
constant screen: in boolean := true);
-----------------------------------------------------------------------------
-- synchronisation with respect to clock and with output offset
-----------------------------------------------------------------------------
procedure synchronise(
signal clock: in std_ulogic;
constant offset: in time := 5 ns;
constant enable: in boolean := true);
-----------------------------------------------------------------------------
-- this procedure initialises the test error counters. Used in testbenches
-- with a test variable to check if a subtest has failed and at the end how
-- many subtests have failed. This procedure is called before the first
-- subtest
-----------------------------------------------------------------------------
procedure tinitialise(
variable test: inout boolean;
variable testcount: inout integer);
-----------------------------------------------------------------------------
-- this procedure completes the sub-test. Called at the end of each subtest
-----------------------------------------------------------------------------
procedure tintermediate(
variable test: inout boolean;
variable testcount: inout integer);
-----------------------------------------------------------------------------
-- this procedure completes the test. Called at the end of the complete test
-----------------------------------------------------------------------------
procedure tterminate(
variable test: inout boolean;
variable testcount: inout integer);
-----------------------------------------------------------------------------
-- check std_logic_vector array
-----------------------------------------------------------------------------
procedure check(
variable tp: inout boolean;
constant received: in std_logic_vector;
constant expected: in std_logic_vector;
constant message: in string := "");
-----------------------------------------------------------------------------
-- check std_logic
-----------------------------------------------------------------------------
procedure check(
variable tp: inout boolean;
constant received: in std_logic;
constant expected: in std_logic;
constant message: in string := "");
-----------------------------------------------------------------------------
-- check std_ulogic_vector array
-----------------------------------------------------------------------------
procedure check(
variable tp: inout boolean;
constant received: in std_ulogic_vector;
constant expected: in std_ulogic_vector;
constant message: in string := "");
-----------------------------------------------------------------------------
-- check natural
-----------------------------------------------------------------------------
procedure check(
variable tp: inout boolean;
constant received: in natural;
constant expected: in natural;
constant message: in string := "");
-----------------------------------------------------------------------------
-- check time
-----------------------------------------------------------------------------
procedure check(
variable tp: inout boolean;
constant received: in time;
constant expected: in time;
constant spread: in time;
constant message: in string := "");
-----------------------------------------------------------------------------
-- check boolean
-----------------------------------------------------------------------------
procedure check(
variable tp: inout boolean;
constant received: in boolean;
constant expected: in boolean;
constant message: in string := "");
-----------------------------------------------------------------------------
-- Convert Data_Vector to Octet_Vector
-----------------------------------------------------------------------------
function conv_octet_vector(
constant d: in data_vector)
return octet_vector;
-----------------------------------------------------------------------------
-- Convert Octet_Vector to Data_Vector, with padding
-----------------------------------------------------------------------------
function conv_data_vector(
constant o: in octet_vector)
return data_vector;
procedure compare(
constant data: in octet_vector;
constant cxdata: in octet_vector;
variable tP: inout boolean);
----------------------------------------------------------------------------
-- Read file contents to octet vector
----------------------------------------------------------------------------
--Expects data only in hex with four bytes on each line.
procedure readfile(
constant filename: in string := "";
constant filetype: in integer := 0;
constant size: in integer := 0;
variable dataout: out octet_vector);
--Reads bytes from a file with the format packets are output from ethereal
procedure readfile(
constant filename: in string := "";
constant size: in integer := 0;
variable dataout: out octet_vector);
----------------------------------------------------------------------------
-- Read file contents to data_vector
----------------------------------------------------------------------------
--Expects data only in hex with four bytes on each line.
procedure readfile(
constant filename: in string := "";
constant size: in integer := 0;
variable dataout: out data_vector);
--generates an random integer from 0 to the maximum value specified with max
procedure gen_rand_int(
constant max : in real;
variable seed1 : inout positive;
variable seed2 : inout positive;
variable rand : out integer);
--reverses std_logic_vector
function reverse(din : std_logic_vector) return std_logic_vector;
-- Returns offset to start of valid data for an access of size 'size' in
-- AMBA data vector
function ahb_doff (
constant dw : integer;
constant size : integer; -- access size
constant addr : std_logic_vector(4 downto 0))
return integer;
-- pragma translate_on
end package testlib;
-- pragma translate_off
--============================================================================--
package body testlib is
-----------------------------------------------------------------------------
-- compare function handling '-'
-----------------------------------------------------------------------------
function compare(o, c: in std_logic_vector) return boolean is
variable t: std_logic_vector(o'range) := c;
variable result: boolean;
begin
result := true;
for i in o'range loop
if not (o(i)=t(i) or t(i)='-' or t(i)='U') then
result := false;
end if;
end loop;
return result;
end function compare;
-----------------------------------------------------------------------------
-- compare function handling '-'
-----------------------------------------------------------------------------
function compare(o, c: in std_ulogic_vector) return boolean is
variable t: std_ulogic_vector(o'range) := c;
variable result: boolean;
begin
result := true;
for i in o'range loop
if not (o(i)=t(i) or t(i)='-' or t(i)='U') then
result := false;
end if;
end loop;
return result;
end function compare;
-----------------------------------------------------------------------------
-- this procedure prints a message to standard output
-----------------------------------------------------------------------------
procedure print(
constant comment: in string := "-";
constant severe: in severity_level := note;
constant screen: in boolean := true) is
variable l: line;
begin
if screen then
write(l, now, right, 15);
write(l, " : " & comment);
if severe = warning then
write(l, string'(" # warning, "));
elsif severe = error then
write(l, string'(" # error, "));
elsif severe = failure then
write(l, string'(" # failure, "));
end if;
writeline(output, l);
end if;
end procedure print;
-----------------------------------------------------------------------------
-- synchronisation with respect to clock and with output offset
-----------------------------------------------------------------------------
procedure synchronise(
signal clock: in std_ulogic;
constant offset: in time := 5 ns;
constant enable: in boolean := true) is
begin
if enable then
wait until clock = '1'; -- synchronise
wait for offset; -- output offset delay
end if;
end procedure synchronise;
-----------------------------------------------------------------------------
-- this procedure initialises the test error counters
-----------------------------------------------------------------------------
procedure tinitialise(
variable test: inout boolean;
variable testcount: inout integer) is
begin
--------------------------------------------------------------------------
-- initialise test status
--------------------------------------------------------------------------
test := true; -- reset any errors
testcount := 0;
print("--=========================================================--");
print("*** test initialised ¨ ***");
print("--=========================================================--");
end procedure tinitialise;
-----------------------------------------------------------------------------
-- this procedure completes the sub-test
-----------------------------------------------------------------------------
procedure tintermediate(
variable test: inout boolean;
variable testcount: inout integer) is
variable l: line;
begin
--------------------------------------------------------------------------
-- report test status
--------------------------------------------------------------------------
wait for 10 us;
print("--=========================================================--");
if test then
print("*** sub-test completed successfully ***");
if testcount > 0 then
write(l, now, right, 15);
write(l, string'(" : "));
write(l, testcount);
write(l, string'(" sub-test(s) ended with one or more errors."));
writeline(output, l);
end if;
else
print("*** sub-test completed with errors -- # error # -- ***");
testcount := testcount + 1;
test := true;
if testcount > 0 then
write(l, now, right, 15);
write(l, string'(" : "));
write(l, testcount);
write(l, string'(" sub-test(s) ended with one or more errors."));
writeline(output, l);
end if;
end if;
print("--=========================================================--");
end procedure tintermediate;
-----------------------------------------------------------------------------
-- this procedure completes the test
-----------------------------------------------------------------------------
procedure tterminate(
variable test: inout boolean;
variable testcount: inout integer) is
variable l: line;
begin
--------------------------------------------------------------------------
-- end of test
--------------------------------------------------------------------------
wait for 1 ms;
print("--=========================================================--");
if testcount = 0 then
print("*** test completed successfully ***");
else
print("*** test completed with errors -- # error # -- ***");
write(l, now, right, 15);
write(l, string'(" : "));
write(l, testcount);
write(l, string'(" sub-test(s) ended with one or more errors."));
writeline(output, l);
end if;
print("--=========================================================--");
report "---- end of test ----"
severity failure;
wait;
end procedure tterminate;
-----------------------------------------------------------------------------
-- check std_logic_vector array
-----------------------------------------------------------------------------
procedure check(
variable tp: inout boolean;
constant received: in std_logic_vector;
constant expected: in std_logic_vector;
constant message: in string := "") is
variable l: line;
constant padding: std_logic_vector(1 to
(4-(received'length mod 4))) :=
(others => '0');
begin
if not compare(received, expected) then
write(l, now, right, 15);
write(l, string'(" : ") & message & string'(" :"));
write(l, string'(" received: "));
if padding'length > 0 and padding'length < 4 then
hwrite(l, padding & std_logic_vector(received));
else
hwrite(l, std_logic_vector(received));
end if;
write(l, string'(" expected: "));
if padding'length > 0 and padding'length < 4 then
hwrite(l, padding & std_logic_vector(expected));
else
hwrite(l, std_logic_vector(expected));
end if;
write(l, string'(" # error"));
writeline(output, l);
tp := false;
end if;
end procedure check;
-----------------------------------------------------------------------------
-- check std_logic
-----------------------------------------------------------------------------
procedure check(
variable tp: inout boolean;
constant received: in std_logic;
constant expected: in std_logic;
constant message: in string := "") is
variable l: line;
begin
if not (to_x01z(received)=to_x01z(expected)) then
write(l, now, right, 15);
write(l, string'(" : ") & message & string'(" :"));
write(l, string'(" received: "));
write(l, received);
write(l, string'(" expected: "));
write(l, expected);
write(l, string'(" # error"));
writeline(output, l);
tp := false;
end if;
end procedure check;
-----------------------------------------------------------------------------
-- check std_ulogic_vector array
-----------------------------------------------------------------------------
procedure check(
variable tp: inout boolean;
constant received: in std_ulogic_vector;
constant expected: in std_ulogic_vector;
constant message: in string := "") is
variable l: line;
constant padding: std_ulogic_vector(1 to
(4-(received'length mod 4))) :=
(others => '0');
begin
if not compare(received, expected) then
write(l, now, right, 15);
write(l, string'(" : ") & message & string'(" :"));
write(l, string'(" received: "));
if padding'length > 0 and padding'length < 4 then
hwrite(l, std_logic_vector(padding) & std_logic_vector(received));
else
hwrite(l, std_logic_vector(received));
end if;
write(l, string'(" expected: "));
if padding'length > 0 and padding'length < 4 then
hwrite(l, std_logic_vector(padding) & std_logic_vector(expected));
else
hwrite(l, std_logic_vector(expected));
end if;
write(l, string'(" # error"));
writeline(output, l);
tp := false;
end if;
end procedure check;
-----------------------------------------------------------------------------
-- check natural
-----------------------------------------------------------------------------
procedure check(
variable tp: inout boolean;
constant received: in natural;
constant expected: in natural;
constant message: in string := "") is
variable l: line;
begin
if received /= expected then
write(l, now, right, 15);
write(l, string'(" : ") & message & string'(" :"));
write(l, string'(" received: "));
write(l, received);
write(l, string'(" expected: "));
write(l, expected);
write(l, string'(" # error"));
writeline(output, l);
tp := false;
end if;
end procedure check;
-----------------------------------------------------------------------------
-- check time
-----------------------------------------------------------------------------
procedure check(
variable tp: inout boolean;
constant received: in time;
constant expected: in time;
constant spread: in time;
constant message: in string := "") is
variable l: line;
begin
if (received > expected+spread) or
(received < expected-spread) then
write(l, now, right, 15);
write(l, string'(" : ") & message & string'(" :"));
write(l, string'(" received: "));
write(l, received);
write(l, string'(" expected: "));
write(l, expected);
write(l, string'(" # error"));
writeline(output, l);
tp := false;
end if;
end procedure check;
-----------------------------------------------------------------------------
-- check boolean
-----------------------------------------------------------------------------
procedure check(
variable tp: inout boolean;
constant received: in boolean;
constant expected: in boolean;
constant message: in string := "") is
variable l: line;
begin
if received /= expected then
write(l, now, right, 15);
write(l, string'(" : ") & message & string'(" :"));
write(l, string'(" received: "));
write(l, received);
write(l, string'(" expected: "));
write(l, expected);
write(l, string'(" # error"));
writeline(output, l);
tp := false;
end if;
end procedure check;
-----------------------------------------------------------------------------
-- Convert Data_Vector to Octet_Vector
-----------------------------------------------------------------------------
function conv_octet_vector(
constant d: in data_vector)
return octet_vector is
variable o: octet_vector(0 to d'Length*4-1);
begin
for i in o'range loop
o(i) := d(i/4)((3-(i mod 4))*8+7 downto (3-(i mod 4))*8);
end loop;
return o;
end function conv_octet_vector;
-----------------------------------------------------------------------------
-- Convert Octet_Vector to Data_Vector, with padding
-----------------------------------------------------------------------------
function conv_data_vector(
constant o: in octet_vector)
return data_vector is
variable d: data_vector(0 to (1+(o'Length-1)/4)-1);
begin
for i in o'Range loop
d(i/4)((3-(i mod 4))*8+7 downto (3-(i mod 4))*8) := o(i);
end loop;
return d;
end function conv_data_vector;
procedure compare(
constant data: in octet_vector;
constant cxdata: in octet_vector;
variable tp: inout boolean) is
begin
if (data'length /= cxdata'length) then
tp := false;
print("compare error: lengths do not match");
else
for i in data'low to data'low+data'length-1 loop
if not compare(data(i), cxdata(i)) then
tp := false;
print("compare error. index: " & tost(i) & " data: " & tost(data(i)) & " expected: " & tost(cxdata(i)));
end if;
end loop;
end if;
end compare;
function FromChar(C: Character) return Std_Logic_Vector is
variable R: Std_Logic_Vector(0 to 3);
begin
case C is
when '0' => R := "0000";
when '1' => R := "0001";
when '2' => R := "0010";
when '3' => R := "0011";
when '4' => R := "0100";
when '5' => R := "0101";
when '6' => R := "0110";
when '7' => R := "0111";
when '8' => R := "1000";
when '9' => R := "1001";
when 'A' => R := "1010";
when 'B' => R := "1011";
when 'C' => R := "1100";
when 'D' => R := "1101";
when 'E' => R := "1110";
when 'F' => R := "1111";
when 'a' => R := "1010";
when 'b' => R := "1011";
when 'c' => R := "1100";
when 'd' => R := "1101";
when 'e' => R := "1110";
when 'f' => R := "1111";
when others => R := "XXXX";
end case;
return R;
end FromChar;
procedure readfile(
constant filename: in string := "";
constant filetype: in integer := 0;
constant size: in integer := 0;
variable dataout: out octet_vector) is
file readfile: text;
variable l: line;
variable test: boolean := true;
variable count: integer := 0;
variable dtmp: std_logic_vector(31 downto 0);
variable data: octet_vector(0 to size-1);
variable i: integer := 0;
variable good: boolean := true;
variable c: character;
begin
if size /= 0 then
if filename = "" then
print("no file given");
else
if filetype = 0 then
file_open(readfile, filename, read_mode);
while not endfile(readfile) loop
readline(readfile, l);
hread(l, dtmp, test);
if (not test) then
print("illegal data in file");
exit;
end if;
for i in 0 to 3 loop
data(count) := dtmp(31-i*8 downto 24-i*8);
count := count + 1;
if count >= size then
exit;
end if;
end loop;
if count >= size then
exit;
end if;
end loop;
if count < size then
print("not enough data in file");
else
for i in 0 to size-1 loop
dataout(dataout'low+i) := data(i);
end loop;
end if;
else
file_open(readfile, filename, read_mode);
while not endfile(readfile) loop
readline(readfile, L);
while (i < 4) loop
Read(L, C, good);
if not good then
Print("Error in read data");
exit;
end if;
if (C = character'val(32)) or (C = character'val(160)) or (C = HT) then
next;
else
i := i + 1;
end if;
end loop;
i := 0;
while (i < 32) loop
Read(L, C, good);
if not good then
Print("Error in read data");
exit;
end if;
if (C = character'val(32)) or (C = character'val(160)) or (C = HT) then
next;
else
if (i mod 2) = 0 then
data(count)(7 downto 4) := fromchar(C);
else
data(count)(3 downto 0) := fromchar(C);
-- Print(tost(data(count)));
count := count + 1;
if count >= size then
exit;
end if;
end if;
i := i + 1;
end if;
end loop;
i := 0;
end loop;
if count < size then
Print("Not enough data in file");
else
dataout := data;
end if;
end if;
end if;
else
print("size is zero. no data read");
end if;
end procedure;
procedure readfile(
constant filename: in string := "";
constant size: in integer := 0;
variable dataout: out octet_vector) is
begin
readfile(filename, 0, size, dataout);
end procedure;
procedure readfile(
constant filename: in string := "";
constant size: in integer := 0;
variable dataout: out data_vector) is
file readfile: text;
variable l: line;
variable test: boolean := true;
variable count: integer := 0;
variable data: data_vector(0 to size/4);
begin
if size /= 0 then
if filename = "" then
print("no file given");
else
file_open(readfile, filename, read_mode);
while not endfile(readfile) loop
readline(readfile, l);
hread(l, data(count/4), test);
if (not test) then
print("illegal data in file");
exit;
end if;
count := count + 4;
if count >= size then
exit;
end if;
end loop;
if count < size then
print("not enough data in file");
else
if (size mod 4) = 0 then
dataout(dataout'low to dataout'low+data'high-1) :=
data(0 to data'high-1);
else
dataout(dataout'low to dataout'low+data'high) := data(0 to data'high);
end if;
end if;
end if;
else
print("size is zero. no data read");
end if;
end procedure;
procedure gen_rand_int(
constant max : in real;
variable seed1 : inout positive;
variable seed2 : inout positive;
variable rand : out integer) is
variable rand_tmp : real;
begin
uniform(seed1, seed2, rand_tmp);
rand := integer(floor(rand_tmp*max));
end procedure;
function reverse(din : std_logic_vector)
return std_logic_vector is
variable dout: std_logic_vector(din'REVERSE_RANGE);
begin
for i in din'RANGE loop dout(i) := din(i); end loop;
return dout;
end function reverse;
function ahb_doff (
constant dw : integer;
constant size : integer;
constant addr : std_logic_vector(4 downto 0))
return integer is
variable off : integer;
begin -- ahb_doff
if size < 256 and dw = 256 and addr(4) = '0' then off := 128; else off := 0; end if;
if size < 128 and dw >= 128 and addr(3) = '0' then off := off + 64; end if;
if size < 64 and dw >= 64 and addr(2) = '0' then off := off + 32; end if;
if size < 32 and addr(1) = '0' then off := off + 16; end if;
if size < 16 and addr(0) = '0' then off := off + 8; end if;
return off;
end ahb_doff;
end package body ; --=======================================--
-- pragma translate_on
|
--------------------------------------------------------------------------------
--
-- BLK MEM GEN v7_3 Core - Stimulus Generator For Single Port ROM
--
--------------------------------------------------------------------------------
--
-- (c) Copyright 2006_3010 Xilinx, Inc. All rights reserved.
--
-- This file contains confidential and proprietary information
-- of Xilinx, Inc. and is protected under U.S. and
-- international copyright and other intellectual property
-- laws.
--
-- DISCLAIMER
-- This disclaimer is not a license and does not grant any
-- rights to the materials distributed herewith. Except as
-- otherwise provided in a valid license issued to you by
-- Xilinx, and to the maximum extent permitted by applicable
-- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND
-- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES
-- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING
-- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON-
-- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and
-- (2) Xilinx shall not be liable (whether in contract or tort,
-- including negligence, or under any other theory of
-- liability) for any loss or damage of any kind or nature
-- related to, arising under or in connection with these
-- materials, including for any direct, or any indirect,
-- special, incidental, or consequential loss or damage
-- (including loss of data, profits, goodwill, or any type of
-- loss or damage suffered as a result of any action brought
-- by a third party) even if such damage or loss was
-- reasonably foreseeable or Xilinx had been advised of the
-- possibility of the same.
--
-- CRITICAL APPLICATIONS
-- Xilinx products are not designed or intended to be fail-
-- safe, or for use in any application requiring fail-safe
-- performance, such as life-support or safety devices or
-- systems, Class III medical devices, nuclear facilities,
-- applications related to the deployment of airbags, or any
-- other applications that could lead to death, personal
-- injury, or severe property or environmental damage
-- (individually and collectively, "Critical
-- Applications"). Customer assumes the sole risk and
-- liability of any use of Xilinx products in Critical
-- Applications, subject only to applicable laws and
-- regulations governing limitations on product liability.
--
-- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS
-- PART OF THIS FILE AT ALL TIMES.
--------------------------------------------------------------------------------
--
-- Filename: bmg_stim_gen.vhd
--
-- Description:
-- Stimulus Generation For SROM
--
--------------------------------------------------------------------------------
-- Author: IP Solutions Division
--
-- History: Sep 12, 2011 - First Release
--------------------------------------------------------------------------------
--
--------------------------------------------------------------------------------
-- Library Declarations
--------------------------------------------------------------------------------
LIBRARY IEEE;
USE IEEE.STD_LOGIC_1164.ALL;
USE IEEE.STD_LOGIC_ARITH.ALL;
USE IEEE.STD_LOGIC_UNSIGNED.ALL;
USE IEEE.STD_LOGIC_MISC.ALL;
LIBRARY work;
USE work.ALL;
USE work.BMG_TB_PKG.ALL;
ENTITY REGISTER_LOGIC_SROM IS
PORT(
Q : OUT STD_LOGIC;
CLK : IN STD_LOGIC;
RST : IN STD_LOGIC;
D : IN STD_LOGIC
);
END REGISTER_LOGIC_SROM;
ARCHITECTURE REGISTER_ARCH OF REGISTER_LOGIC_SROM IS
SIGNAL Q_O : STD_LOGIC :='0';
BEGIN
Q <= Q_O;
FF_BEH: PROCESS(CLK)
BEGIN
IF(RISING_EDGE(CLK)) THEN
IF(RST /= '0' ) THEN
Q_O <= '0';
ELSE
Q_O <= D;
END IF;
END IF;
END PROCESS;
END REGISTER_ARCH;
LIBRARY STD;
USE STD.TEXTIO.ALL;
LIBRARY IEEE;
USE IEEE.STD_LOGIC_1164.ALL;
USE IEEE.STD_LOGIC_ARITH.ALL;
--USE IEEE.NUMERIC_STD.ALL;
USE IEEE.STD_LOGIC_UNSIGNED.ALL;
USE IEEE.STD_LOGIC_MISC.ALL;
LIBRARY work;
USE work.ALL;
USE work.BMG_TB_PKG.ALL;
ENTITY BMG_STIM_GEN IS
GENERIC ( C_ROM_SYNTH : INTEGER := 0
);
PORT (
CLK : IN STD_LOGIC;
RST : IN STD_LOGIC;
ADDRA: OUT STD_LOGIC_VECTOR(7 DOWNTO 0) := (OTHERS => '0');
DATA_IN : IN STD_LOGIC_VECTOR (31 DOWNTO 0); --OUTPUT VECTOR
STATUS : OUT STD_LOGIC:= '0'
);
END BMG_STIM_GEN;
ARCHITECTURE BEHAVIORAL OF BMG_STIM_GEN IS
FUNCTION hex_to_std_logic_vector(
hex_str : STRING;
return_width : INTEGER)
RETURN STD_LOGIC_VECTOR IS
VARIABLE tmp : STD_LOGIC_VECTOR((hex_str'LENGTH*4)+return_width-1
DOWNTO 0);
BEGIN
tmp := (OTHERS => '0');
FOR i IN 1 TO hex_str'LENGTH LOOP
CASE hex_str((hex_str'LENGTH+1)-i) IS
WHEN '0' => tmp(i*4-1 DOWNTO (i-1)*4) := "0000";
WHEN '1' => tmp(i*4-1 DOWNTO (i-1)*4) := "0001";
WHEN '2' => tmp(i*4-1 DOWNTO (i-1)*4) := "0010";
WHEN '3' => tmp(i*4-1 DOWNTO (i-1)*4) := "0011";
WHEN '4' => tmp(i*4-1 DOWNTO (i-1)*4) := "0100";
WHEN '5' => tmp(i*4-1 DOWNTO (i-1)*4) := "0101";
WHEN '6' => tmp(i*4-1 DOWNTO (i-1)*4) := "0110";
WHEN '7' => tmp(i*4-1 DOWNTO (i-1)*4) := "0111";
WHEN '8' => tmp(i*4-1 DOWNTO (i-1)*4) := "1000";
WHEN '9' => tmp(i*4-1 DOWNTO (i-1)*4) := "1001";
WHEN 'a' | 'A' => tmp(i*4-1 DOWNTO (i-1)*4) := "1010";
WHEN 'b' | 'B' => tmp(i*4-1 DOWNTO (i-1)*4) := "1011";
WHEN 'c' | 'C' => tmp(i*4-1 DOWNTO (i-1)*4) := "1100";
WHEN 'd' | 'D' => tmp(i*4-1 DOWNTO (i-1)*4) := "1101";
WHEN 'e' | 'E' => tmp(i*4-1 DOWNTO (i-1)*4) := "1110";
WHEN 'f' | 'F' => tmp(i*4-1 DOWNTO (i-1)*4) := "1111";
WHEN OTHERS => tmp(i*4-1 DOWNTO (i-1)*4) := "1111";
END CASE;
END LOOP;
RETURN tmp(return_width-1 DOWNTO 0);
END hex_to_std_logic_vector;
CONSTANT ZERO : STD_LOGIC_VECTOR(31 DOWNTO 0) := (OTHERS => '0');
SIGNAL READ_ADDR_INT : STD_LOGIC_VECTOR(7 DOWNTO 0) := (OTHERS => '0');
SIGNAL READ_ADDR : STD_LOGIC_VECTOR(31 DOWNTO 0) := (OTHERS => '0');
SIGNAL CHECK_READ_ADDR : STD_LOGIC_VECTOR(31 DOWNTO 0) := (OTHERS => '0');
SIGNAL EXPECTED_DATA : STD_LOGIC_VECTOR(31 DOWNTO 0) := (OTHERS => '0');
SIGNAL DO_READ : STD_LOGIC := '0';
SIGNAL CHECK_DATA : STD_LOGIC := '0';
SIGNAL CHECK_DATA_R : STD_LOGIC := '0';
SIGNAL CHECK_DATA_2R : STD_LOGIC := '0';
SIGNAL DO_READ_REG: STD_LOGIC_VECTOR(4 DOWNTO 0) :=(OTHERS => '0');
CONSTANT DEFAULT_DATA : STD_LOGIC_VECTOR(31 DOWNTO 0):= hex_to_std_logic_vector("0",32);
BEGIN
SYNTH_COE: IF(C_ROM_SYNTH =0 ) GENERATE
type mem_type is array (255 downto 0) of std_logic_vector(31 downto 0);
FUNCTION bit_to_sl(input: BIT) RETURN STD_LOGIC IS
VARIABLE temp_return : STD_LOGIC;
BEGIN
IF (input = '0') THEN
temp_return := '0';
ELSE
temp_return := '1';
END IF;
RETURN temp_return;
END bit_to_sl;
function char_to_std_logic (
char : in character)
return std_logic is
variable data : std_logic;
begin
if char = '0' then
data := '0';
elsif char = '1' then
data := '1';
elsif char = 'X' then
data := 'X';
else
assert false
report "character which is not '0', '1' or 'X'."
severity warning;
data := 'U';
end if;
return data;
end char_to_std_logic;
impure FUNCTION init_memory( C_USE_DEFAULT_DATA : INTEGER;
C_LOAD_INIT_FILE : INTEGER ;
C_INIT_FILE_NAME : STRING ;
DEFAULT_DATA : STD_LOGIC_VECTOR(31 DOWNTO 0);
width : INTEGER;
depth : INTEGER)
RETURN mem_type IS
VARIABLE init_return : mem_type := (OTHERS => (OTHERS => '0'));
FILE init_file : TEXT;
VARIABLE mem_vector : BIT_VECTOR(width-1 DOWNTO 0);
VARIABLE bitline : LINE;
variable bitsgood : boolean := true;
variable bitchar : character;
VARIABLE i : INTEGER;
VARIABLE j : INTEGER;
BEGIN
--Display output message indicating that the behavioral model is being
--initialized
ASSERT (NOT (C_USE_DEFAULT_DATA=1 OR C_LOAD_INIT_FILE=1)) REPORT " Block Memory Generator CORE Generator module loading initial data..." SEVERITY NOTE;
-- Setup the default data
-- Default data is with respect to write_port_A and may be wider
-- or narrower than init_return width. The following loops map
-- default data into the memory
IF (C_USE_DEFAULT_DATA=1) THEN
FOR i IN 0 TO depth-1 LOOP
init_return(i) := DEFAULT_DATA;
END LOOP;
END IF;
-- Read in the .mif file
-- The init data is formatted with respect to write port A dimensions.
-- The init_return vector is formatted with respect to minimum width and
-- maximum depth; the following loops map the .mif file into the memory
IF (C_LOAD_INIT_FILE=1) THEN
file_open(init_file, C_INIT_FILE_NAME, read_mode);
i := 0;
WHILE (i < depth AND NOT endfile(init_file)) LOOP
mem_vector := (OTHERS => '0');
readline(init_file, bitline);
-- read(file_buffer, mem_vector(file_buffer'LENGTH-1 DOWNTO 0));
FOR j IN 0 TO width-1 LOOP
read(bitline,bitchar,bitsgood);
init_return(i)(width-1-j) := char_to_std_logic(bitchar);
END LOOP;
i := i + 1;
END LOOP;
file_close(init_file);
END IF;
RETURN init_return;
END FUNCTION;
--***************************************************************
-- convert bit to STD_LOGIC
--***************************************************************
constant c_init : mem_type := init_memory(0,
1,
"instructionROM.mif",
DEFAULT_DATA,
32,
256);
constant rom : mem_type := c_init;
BEGIN
EXPECTED_DATA <= rom(conv_integer(unsigned(check_read_addr)));
CHECKER_RD_ADDR_GEN_INST:ENTITY work.ADDR_GEN
GENERIC MAP( C_MAX_DEPTH =>256 )
PORT MAP(
CLK => CLK,
RST => RST,
EN => CHECK_DATA_2R,
LOAD => '0',
LOAD_VALUE => ZERO,
ADDR_OUT => CHECK_READ_ADDR
);
PROCESS(CLK)
BEGIN
IF(RISING_EDGE(CLK)) THEN
IF(CHECK_DATA_2R ='1') THEN
IF(EXPECTED_DATA = DATA_IN) THEN
STATUS<='0';
ELSE
STATUS <= '1';
END IF;
END IF;
END IF;
END PROCESS;
END GENERATE;
-- Simulatable ROM
--Synthesizable ROM
SYNTH_CHECKER: IF(C_ROM_SYNTH = 1) GENERATE
PROCESS(CLK)
BEGIN
IF(RISING_EDGE(CLK)) THEN
IF(CHECK_DATA_2R='1') THEN
IF(DATA_IN=DEFAULT_DATA) THEN
STATUS <= '0';
ELSE
STATUS <= '1';
END IF;
END IF;
END IF;
END PROCESS;
END GENERATE;
READ_ADDR_INT(7 DOWNTO 0) <= READ_ADDR(7 DOWNTO 0);
ADDRA <= READ_ADDR_INT ;
CHECK_DATA <= DO_READ;
RD_ADDR_GEN_INST:ENTITY work.ADDR_GEN
GENERIC MAP( C_MAX_DEPTH => 256 )
PORT MAP(
CLK => CLK,
RST => RST,
EN => DO_READ,
LOAD => '0',
LOAD_VALUE => ZERO,
ADDR_OUT => READ_ADDR
);
RD_PROCESS: PROCESS (CLK)
BEGIN
IF (RISING_EDGE(CLK)) THEN
IF(RST='1') THEN
DO_READ <= '0';
ELSE
DO_READ <= '1';
END IF;
END IF;
END PROCESS;
BEGIN_SHIFT_REG: FOR I IN 0 TO 4 GENERATE
BEGIN
DFF_RIGHT: IF I=0 GENERATE
BEGIN
SHIFT_INST_0: ENTITY work.REGISTER_LOGIC_SROM
PORT MAP(
Q => DO_READ_REG(0),
CLK =>CLK,
RST=>RST,
D =>DO_READ
);
END GENERATE DFF_RIGHT;
DFF_OTHERS: IF ((I>0) AND (I<=4)) GENERATE
BEGIN
SHIFT_INST: ENTITY work.REGISTER_LOGIC_SROM
PORT MAP(
Q => DO_READ_REG(I),
CLK =>CLK,
RST=>RST,
D =>DO_READ_REG(I-1)
);
END GENERATE DFF_OTHERS;
END GENERATE BEGIN_SHIFT_REG;
CHECK_DATA_REG_1: ENTITY work.REGISTER_LOGIC_SROM
PORT MAP(
Q => CHECK_DATA_2R,
CLK =>CLK,
RST=>RST,
D =>CHECK_DATA_R
);
CHECK_DATA_REG: ENTITY work.REGISTER_LOGIC_SROM
PORT MAP(
Q => CHECK_DATA_R,
CLK =>CLK,
RST=>RST,
D =>CHECK_DATA
);
END ARCHITECTURE;
|
-- SIMON 64/128
-- feistel round function operation gamma
-- gamma(x,y) = (x xor y)
--
-- @Author: Jos Wetzels
-- @Author: Wouter Bokslag
--
-- Parameters:
-- x_in: half block 1
-- y_in: half block 2
-- x_out: xor of both inputs
--
library IEEE;
use IEEE.STD_LOGIC_1164.ALL;
use IEEE.NUMERIC_STD.ALL;
entity gamma is
port(x_in : in std_logic_vector(31 downto 0);
y_in : in std_logic_vector(31 downto 0);
x_out : out std_logic_vector(31 downto 0)
);
end gamma;
architecture Behavioral of gamma is
begin
x_out <= x_in xor y_in;
end Behavioral; |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.