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Kokkos_Cuda_Internal.hpp
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Kokkos_Cuda_Internal.hpp
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/*
//@HEADER
// ************************************************************************
//
// Kokkos v. 2.0
// Copyright (2014) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// 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 Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "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 SANDIA CORPORATION OR THE
// 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
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// 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.
//
// Questions? Contact H. Carter Edwards (hcedwar@sandia.gov)
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*/
#ifndef KOKKOS_CUDA_INTERNAL_HPP
#define KOKKOS_CUDA_INTERNAL_HPP
#include<iostream>
#include <Kokkos_Macros.hpp>
/* only compile this file if CUDA is enabled for Kokkos */
#ifdef KOKKOS_HAVE_CUDA
#include <Cuda/Kokkos_Cuda_Error.hpp>
namespace Kokkos { namespace Impl {
template<class DriverType, bool Large>
struct CudaGetMaxBlockSize;
template<class DriverType, bool Large = (CudaTraits::ConstantMemoryUseThreshold < sizeof(DriverType))>
int cuda_get_max_block_size(const typename DriverType::functor_type & f, const size_t vector_length,
const size_t shmem_extra_block, const size_t shmem_extra_thread) {
return CudaGetMaxBlockSize<DriverType,Large>::get_block_size(f,vector_length, shmem_extra_block,shmem_extra_thread);
}
template<class DriverType>
struct CudaGetMaxBlockSize<DriverType,true> {
static int get_block_size(const typename DriverType::functor_type & f, const size_t vector_length,
const size_t shmem_extra_block, const size_t shmem_extra_thread) {
int numBlocks;
int blockSize=32;
int sharedmem = shmem_extra_block + shmem_extra_thread*(blockSize/vector_length) +
FunctorTeamShmemSize< typename DriverType::functor_type >::value( f , blockSize/vector_length );
cudaOccupancyMaxActiveBlocksPerMultiprocessor(
&numBlocks,
cuda_parallel_launch_constant_memory<DriverType>,
blockSize,
sharedmem);
while (blockSize<1024 && numBlocks>0) {
blockSize*=2;
sharedmem = shmem_extra_block + shmem_extra_thread*(blockSize/vector_length) +
FunctorTeamShmemSize< typename DriverType::functor_type >::value( f , blockSize/vector_length );
cudaOccupancyMaxActiveBlocksPerMultiprocessor(
&numBlocks,
cuda_parallel_launch_constant_memory<DriverType>,
blockSize,
sharedmem);
}
if(numBlocks>0) return blockSize;
else return blockSize/2;
}
};
template<class DriverType>
struct CudaGetMaxBlockSize<DriverType,false> {
static int get_block_size(const typename DriverType::functor_type & f, const size_t vector_length,
const size_t shmem_extra_block, const size_t shmem_extra_thread) {
int numBlocks;
int blockSize=32;
int sharedmem = shmem_extra_block + shmem_extra_thread*(blockSize/vector_length) +
FunctorTeamShmemSize< typename DriverType::functor_type >::value( f , blockSize/vector_length );
cudaOccupancyMaxActiveBlocksPerMultiprocessor(
&numBlocks,
cuda_parallel_launch_local_memory<DriverType>,
blockSize,
sharedmem);
while (blockSize<1024 && numBlocks>0) {
blockSize*=2;
sharedmem = shmem_extra_block + shmem_extra_thread*(blockSize/vector_length) +
FunctorTeamShmemSize< typename DriverType::functor_type >::value( f , blockSize/vector_length );
cudaOccupancyMaxActiveBlocksPerMultiprocessor(
&numBlocks,
cuda_parallel_launch_local_memory<DriverType>,
blockSize,
sharedmem);
}
if(numBlocks>0) return blockSize;
else return blockSize/2;
}
};
template<class DriverType, bool Large>
struct CudaGetOptBlockSize;
template<class DriverType, bool Large = (CudaTraits::ConstantMemoryUseThreshold < sizeof(DriverType))>
int cuda_get_opt_block_size(const typename DriverType::functor_type & f, const size_t vector_length,
const size_t shmem_extra_block, const size_t shmem_extra_thread) {
return CudaGetOptBlockSize<DriverType,Large>::get_block_size(f,vector_length,shmem_extra_block,shmem_extra_thread);
}
template<class DriverType>
struct CudaGetOptBlockSize<DriverType,true> {
static int get_block_size(const typename DriverType::functor_type & f, const size_t vector_length,
const size_t shmem_extra_block, const size_t shmem_extra_thread) {
int blockSize=16;
int numBlocks;
int sharedmem;
int maxOccupancy=0;
int bestBlockSize=0;
while(blockSize<1024) {
blockSize*=2;
//calculate the occupancy with that optBlockSize and check whether its larger than the largest one found so far
sharedmem = shmem_extra_block + shmem_extra_thread*(blockSize/vector_length) +
FunctorTeamShmemSize< typename DriverType::functor_type >::value( f , blockSize/vector_length );
cudaOccupancyMaxActiveBlocksPerMultiprocessor(
&numBlocks,
cuda_parallel_launch_constant_memory<DriverType>,
blockSize,
sharedmem);
if(maxOccupancy < numBlocks*blockSize) {
maxOccupancy = numBlocks*blockSize;
bestBlockSize = blockSize;
}
}
return bestBlockSize;
}
};
template<class DriverType>
struct CudaGetOptBlockSize<DriverType,false> {
static int get_block_size(const typename DriverType::functor_type & f, const size_t vector_length,
const size_t shmem_extra_block, const size_t shmem_extra_thread) {
int blockSize=16;
int numBlocks;
int sharedmem;
int maxOccupancy=0;
int bestBlockSize=0;
while(blockSize<1024) {
blockSize*=2;
sharedmem = shmem_extra_block + shmem_extra_thread*(blockSize/vector_length) +
FunctorTeamShmemSize< typename DriverType::functor_type >::value( f , blockSize/vector_length );
cudaOccupancyMaxActiveBlocksPerMultiprocessor(
&numBlocks,
cuda_parallel_launch_local_memory<DriverType>,
blockSize,
sharedmem);
if(maxOccupancy < numBlocks*blockSize) {
maxOccupancy = numBlocks*blockSize;
bestBlockSize = blockSize;
}
}
return bestBlockSize;
}
};
}} // namespace Kokkos::Impl
#endif // KOKKOS_HAVE_CUDA
#endif /* #ifndef KOKKOS_CUDA_INTERNAL_HPP */

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