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/* | |
* Functions to share code between CPU and GPU | |
*/ | |
// CUDA versions | |
// Recent compute capabilities have block-level atomicAdd for all data types, so we use that | |
// Older architectures don't have block-level atomicAdd, nor atomicAdd for doubles, so we defer to atomicAdd for float | |
// and use the known atomicCAS-based implementation for double | |
template<typename data_t> | |
__device__ inline data_t atomic_add(data_t *address, data_t val) { | |
return atomicAdd(address, val); | |
} | |
template<> | |
__device__ inline double atomic_add(double *address, double val) { | |
unsigned long long int* address_as_ull = (unsigned long long int*)address; | |
unsigned long long int old = *address_as_ull, assumed; | |
do { | |
assumed = old; | |
old = atomicCAS(address_as_ull, assumed, __double_as_longlong(val + __longlong_as_double(assumed))); | |
} while (assumed != old); | |
return __longlong_as_double(old); | |
} | |
// CPU versions | |