mirror of
https://github.com/paboyle/Grid.git
synced 2024-11-15 02:05:37 +00:00
Clean up
This commit is contained in:
parent
ce64271048
commit
8f70cfeda9
@ -132,27 +132,17 @@ inline void cuda_mem(void)
|
||||
|
||||
#define accelerator_for2dNB( iter1, num1, iter2, num2, nsimd, ... ) \
|
||||
{ \
|
||||
int nt=acceleratorThreads(); \
|
||||
typedef uint64_t Iterator; \
|
||||
auto lambda = [=] accelerator \
|
||||
(Iterator iter1,Iterator iter2,Iterator lane) mutable { \
|
||||
__VA_ARGS__; \
|
||||
}; \
|
||||
dim3 cu_threads(nsimd,acceleratorThreads(),1); \
|
||||
dim3 cu_blocks ((num1+nt-1)/nt,num2,1); \
|
||||
LambdaApply<<<cu_blocks,cu_threads,0,computeStream>>>(num1,num2,nsimd,lambda); \
|
||||
}
|
||||
#define prof_accelerator_for2dNB( iter1, num1, iter2, num2, nsimd, ... ) \
|
||||
{ \
|
||||
int nt=acceleratorThreads(); \
|
||||
typedef uint64_t Iterator; \
|
||||
auto lambda = [=] accelerator \
|
||||
(Iterator iter1,Iterator iter2,Iterator lane) mutable { \
|
||||
__VA_ARGS__; \
|
||||
}; \
|
||||
dim3 cu_threads(nsimd,acceleratorThreads(),1); \
|
||||
dim3 cu_blocks ((num1+nt-1)/nt,num2,1); \
|
||||
ProfileLambdaApply<<<cu_blocks,cu_threads,0,computeStream>>>(num1,num2,nsimd,lambda); \
|
||||
if ( num1*num2 ) { \
|
||||
int nt=acceleratorThreads(); \
|
||||
typedef uint64_t Iterator; \
|
||||
auto lambda = [=] accelerator \
|
||||
(Iterator iter1,Iterator iter2,Iterator lane) mutable { \
|
||||
__VA_ARGS__; \
|
||||
}; \
|
||||
dim3 cu_threads(nsimd,acceleratorThreads(),1); \
|
||||
dim3 cu_blocks ((num1+nt-1)/nt,num2,1); \
|
||||
LambdaApply<<<cu_blocks,cu_threads,0,computeStream>>>(num1,num2,nsimd,lambda); \
|
||||
} \
|
||||
}
|
||||
|
||||
#define accelerator_for6dNB(iter1, num1, \
|
||||
@ -175,19 +165,6 @@ inline void cuda_mem(void)
|
||||
}
|
||||
|
||||
|
||||
#define accelerator_for2dNB( iter1, num1, iter2, num2, nsimd, ... ) \
|
||||
{ \
|
||||
int nt=acceleratorThreads(); \
|
||||
typedef uint64_t Iterator; \
|
||||
auto lambda = [=] accelerator \
|
||||
(Iterator iter1,Iterator iter2,Iterator lane) mutable { \
|
||||
__VA_ARGS__; \
|
||||
}; \
|
||||
dim3 cu_threads(nsimd,acceleratorThreads(),1); \
|
||||
dim3 cu_blocks ((num1+nt-1)/nt,num2,1); \
|
||||
LambdaApply<<<cu_blocks,cu_threads,0,computeStream>>>(num1,num2,nsimd,lambda); \
|
||||
}
|
||||
|
||||
template<typename lambda> __global__
|
||||
void LambdaApply(uint64_t num1, uint64_t num2, uint64_t num3, lambda Lambda)
|
||||
{
|
||||
@ -199,17 +176,6 @@ void LambdaApply(uint64_t num1, uint64_t num2, uint64_t num3, lambda Lambda)
|
||||
Lambda(x,y,z);
|
||||
}
|
||||
}
|
||||
template<typename lambda> __global__
|
||||
void ProfileLambdaApply(uint64_t num1, uint64_t num2, uint64_t num3, lambda Lambda)
|
||||
{
|
||||
// Weird permute is to make lane coalesce for large blocks
|
||||
uint64_t x = threadIdx.y + blockDim.y*blockIdx.x;
|
||||
uint64_t y = threadIdx.z + blockDim.z*blockIdx.y;
|
||||
uint64_t z = threadIdx.x;
|
||||
if ( (x < num1) && (y<num2) && (z<num3) ) {
|
||||
Lambda(x,y,z);
|
||||
}
|
||||
}
|
||||
|
||||
template<typename lambda> __global__
|
||||
void Lambda6Apply(uint64_t num1, uint64_t num2, uint64_t num3,
|
||||
@ -523,9 +489,6 @@ inline void acceleratorCopySynchronise(void) { auto discard=hipStreamSynchronize
|
||||
#if defined(GRID_SYCL) || defined(GRID_CUDA) || defined(GRID_HIP)
|
||||
// FIXME -- the non-blocking nature got broken March 30 2023 by PAB
|
||||
#define accelerator_forNB( iter1, num1, nsimd, ... ) accelerator_for2dNB( iter1, num1, iter2, 1, nsimd, {__VA_ARGS__} );
|
||||
#define prof_accelerator_for( iter1, num1, nsimd, ... ) \
|
||||
prof_accelerator_for2dNB( iter1, num1, iter2, 1, nsimd, {__VA_ARGS__} );\
|
||||
accelerator_barrier(dummy);
|
||||
|
||||
#define accelerator_for( iter, num, nsimd, ... ) \
|
||||
accelerator_forNB(iter, num, nsimd, { __VA_ARGS__ } ); \
|
||||
|
Loading…
Reference in New Issue
Block a user