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lammps/lib/kokkos/example/multi_fem/SparseLinearSystem_Cuda.hpp
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SparseLinearSystem_Cuda.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
// 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.
//
// Questions? Contact H. Carter Edwards (hcedwar@sandia.gov)
//
// ************************************************************************
//@HEADER
*/
#ifndef SPARSELINEARSYSTEM_CUDA_HPP
#define SPARSELINEARSYSTEM_CUDA_HPP
#if defined( BUILD_FROM_CU_FILE )
#include <cusparse_v2.h>
#include <Kokkos_Core.hpp>
namespace Kokkos {
namespace Impl {
struct CudaSparseSingleton {
cusparseHandle_t handle;
cusparseMatDescr_t descra;
CudaSparseSingleton()
{
cusparseCreate( & handle );
cusparseCreateMatDescr( & descra );
cusparseSetMatType( descra , CUSPARSE_MATRIX_TYPE_GENERAL );
cusparseSetMatIndexBase( descra , CUSPARSE_INDEX_BASE_ZERO );
}
static CudaSparseSingleton & singleton();
};
CudaSparseSingleton & CudaSparseSingleton::singleton()
{ static CudaSparseSingleton s ; return s ; }
template<>
struct Multiply< CrsMatrix<double,Cuda> ,
View<double*,Cuda > ,
View<double*,Cuda > >
{
typedef Cuda execution_space ;
typedef execution_space::size_type size_type ;
typedef double scalar_type ;
typedef View< scalar_type* , execution_space > vector_type ;
typedef CrsMatrix< scalar_type , execution_space > matrix_type ;
public:
Multiply( const matrix_type & A ,
const size_type nrow ,
const size_type ncol ,
const vector_type & x ,
const vector_type & y )
{
CudaSparseSingleton & s = CudaSparseSingleton::singleton();
const scalar_type alpha = 1 , beta = 0 ;
cusparseStatus_t status =
cusparseDcsrmv( s.handle ,
CUSPARSE_OPERATION_NON_TRANSPOSE ,
nrow , ncol , A.coefficients.dimension_0() ,
&alpha ,
s.descra ,
A.coefficients.ptr_on_device() ,
A.graph.row_map.ptr_on_device() ,
A.graph.entries.ptr_on_device() ,
x.ptr_on_device() ,
&beta ,
y.ptr_on_device() );
if ( CUSPARSE_STATUS_SUCCESS != status ) {
throw std::runtime_error( std::string("ERROR - cusparseDcsrmv " ) );
}
}
};
template<>
struct Multiply< CrsMatrix<float,Cuda> ,
View<float*,Cuda > ,
View<float*,Cuda > >
{
typedef Cuda execution_space ;
typedef execution_space::size_type size_type ;
typedef float scalar_type ;
typedef View< scalar_type* , execution_space > vector_type ;
typedef CrsMatrix< scalar_type , execution_space > matrix_type ;
public:
Multiply( const matrix_type & A ,
const size_type nrow ,
const size_type ncol ,
const vector_type & x ,
const vector_type & y )
{
CudaSparseSingleton & s = CudaSparseSingleton::singleton();
const scalar_type alpha = 1 , beta = 0 ;
cusparseStatus_t status =
cusparseScsrmv( s.handle ,
CUSPARSE_OPERATION_NON_TRANSPOSE ,
nrow , ncol , A.coefficients.dimension_0() ,
&alpha ,
s.descra ,
A.coefficients.ptr_on_device() ,
A.graph.row_map.ptr_on_device() ,
A.graph.entries.ptr_on_device() ,
x.ptr_on_device() ,
&beta ,
y.ptr_on_device() );
if ( CUSPARSE_STATUS_SUCCESS != status ) {
throw std::runtime_error( std::string("ERROR - cusparseDcsrmv " ) );
}
}
};
} /* namespace Impl */
} /* namespace Kokkos */
#endif /* #if defined( __CUDACC__ ) */
#endif /* #ifndef SPARSELINEARSYSTEM_CUDA_HPP */
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