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lib/kokkos/example/multi_fem/SparseLinearSystem_Cuda.hpp
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lib/kokkos/example/multi_fem/SparseLinearSystem_Cuda.hpp
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/*
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//@HEADER
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// ************************************************************************
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//
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// Kokkos v. 2.0
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// Copyright (2014) Sandia Corporation
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//
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// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
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// the U.S. Government retains certain rights in this software.
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//
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// Redistribution and use in source and binary forms, with or without
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// modification, are permitted provided that the following conditions are
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// met:
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//
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// 1. Redistributions of source code must retain the above copyright
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// notice, this list of conditions and the following disclaimer.
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//
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// 2. Redistributions in binary form must reproduce the above copyright
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// notice, this list of conditions and the following disclaimer in the
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// documentation and/or other materials provided with the distribution.
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//
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// 3. Neither the name of the Corporation nor the names of the
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// contributors may be used to endorse or promote products derived from
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// this software without specific prior written permission.
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//
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// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY
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// EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE
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// CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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// PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
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// LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
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// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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//
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// Questions? Contact H. Carter Edwards (hcedwar@sandia.gov)
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//
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// ************************************************************************
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//@HEADER
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*/
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#ifndef SPARSELINEARSYSTEM_CUDA_HPP
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#define SPARSELINEARSYSTEM_CUDA_HPP
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#if defined( BUILD_FROM_CU_FILE )
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#include <cusparse_v2.h>
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#include <Kokkos_Core.hpp>
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namespace Kokkos {
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namespace Impl {
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struct CudaSparseSingleton {
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cusparseHandle_t handle;
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cusparseMatDescr_t descra;
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CudaSparseSingleton()
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{
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cusparseCreate( & handle );
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cusparseCreateMatDescr( & descra );
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cusparseSetMatType( descra , CUSPARSE_MATRIX_TYPE_GENERAL );
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cusparseSetMatIndexBase( descra , CUSPARSE_INDEX_BASE_ZERO );
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}
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static CudaSparseSingleton & singleton();
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};
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CudaSparseSingleton & CudaSparseSingleton::singleton()
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{ static CudaSparseSingleton s ; return s ; }
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template<>
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struct Multiply< CrsMatrix<double,Cuda> ,
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View<double*,Cuda > ,
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View<double*,Cuda > >
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{
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typedef Cuda execution_space ;
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typedef execution_space::size_type size_type ;
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typedef double scalar_type ;
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typedef View< scalar_type* , execution_space > vector_type ;
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typedef CrsMatrix< scalar_type , execution_space > matrix_type ;
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public:
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Multiply( const matrix_type & A ,
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const size_type nrow ,
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const size_type ncol ,
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const vector_type & x ,
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const vector_type & y )
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{
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CudaSparseSingleton & s = CudaSparseSingleton::singleton();
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const scalar_type alpha = 1 , beta = 0 ;
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cusparseStatus_t status =
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cusparseDcsrmv( s.handle ,
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CUSPARSE_OPERATION_NON_TRANSPOSE ,
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nrow , ncol , A.coefficients.dimension_0() ,
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&alpha ,
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s.descra ,
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A.coefficients.ptr_on_device() ,
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A.graph.row_map.ptr_on_device() ,
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A.graph.entries.ptr_on_device() ,
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x.ptr_on_device() ,
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&beta ,
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y.ptr_on_device() );
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if ( CUSPARSE_STATUS_SUCCESS != status ) {
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throw std::runtime_error( std::string("ERROR - cusparseDcsrmv " ) );
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}
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}
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};
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template<>
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struct Multiply< CrsMatrix<float,Cuda> ,
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View<float*,Cuda > ,
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View<float*,Cuda > >
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{
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typedef Cuda execution_space ;
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typedef execution_space::size_type size_type ;
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typedef float scalar_type ;
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typedef View< scalar_type* , execution_space > vector_type ;
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typedef CrsMatrix< scalar_type , execution_space > matrix_type ;
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public:
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Multiply( const matrix_type & A ,
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const size_type nrow ,
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const size_type ncol ,
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const vector_type & x ,
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const vector_type & y )
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{
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CudaSparseSingleton & s = CudaSparseSingleton::singleton();
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const scalar_type alpha = 1 , beta = 0 ;
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cusparseStatus_t status =
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cusparseScsrmv( s.handle ,
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CUSPARSE_OPERATION_NON_TRANSPOSE ,
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nrow , ncol , A.coefficients.dimension_0() ,
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&alpha ,
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s.descra ,
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A.coefficients.ptr_on_device() ,
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A.graph.row_map.ptr_on_device() ,
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A.graph.entries.ptr_on_device() ,
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x.ptr_on_device() ,
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&beta ,
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y.ptr_on_device() );
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if ( CUSPARSE_STATUS_SUCCESS != status ) {
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throw std::runtime_error( std::string("ERROR - cusparseDcsrmv " ) );
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}
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}
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};
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} /* namespace Impl */
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} /* namespace Kokkos */
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#endif /* #if defined( __CUDACC__ ) */
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#endif /* #ifndef SPARSELINEARSYSTEM_CUDA_HPP */
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