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GPU work allocation improved

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Peter Boyle
2018-03-22 18:04:24 -04:00
parent 55be842d23
commit 299d119013
1 changed files with 12 additions and 5 deletions
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17
lib/threads/Pragmas.h
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@@ -77,26 +77,33 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
//////////////////////////////////////////////////////////////////////////////////
#ifdef GRID_NVCC
constexpr uint32_t gpu_threads = 8;
template<typename lambda> __global__
void LambdaApply(uint64_t Num, lambda Lambda)
{
uint64_t ss = blockIdx.x;
uint64_t ss = blockIdx.x*blockDim.x + threadIdx.x;
if ( ss < Num ) {
Lambda(ss);
}
}
#define accelerator __host__ __device__
#define accelerator __host__ __device__
#define accelerator_inline __host__ __device__ inline
#define accelerator_loop( iterator, range, ... ) \
typedef decltype(range.begin()) Iterator; \
auto lambda = [=] accelerator (Iterator iterator) mutable { \
__VA_ARGS__; \
}; \
Iterator num = range.end(); \
LambdaApply<<<num,1>>>(num,lambda); \
cudaDeviceSynchronize();
Iterator num_block = (num + gpu_threads - 1)/gpu_threads; \
LambdaApply<<<num_block,gpu_threads>>>(num,lambda); \
cudaError err = cudaGetLastError(); \
cudaDeviceSynchronize(); \
if ( cudaSuccess != err ) { \
printf("Cuda error %s\n",cudaGetErrorString( err )); \
exit(0); \
} \
#define cpu_loop( iterator, range, ... ) thread_loop( (auto iterator = range.begin();iterator<range.end();iterator++), { __VA_ARGS__ });