/usr/include/trilinos/Kokkos_CrsMatrix_CuSparse.hpp is in libtrilinos-kokkos-kernels-dev 12.12.1-5.
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#ifndef KOKKOS_CRSMATRIX_CUSPARSE_HPP_
#define KOKKOS_CRSMATRIX_CUSPARSE_HPP_
/// \file Kokkos_CrsMatrix_CuSparse.hpp
/// \brief cuSPARSE implementation of Kokkos::CrsMatrix kernels.
#include <impl/Kokkos_PhysicalLayout.hpp>
namespace Kokkos {
/// \namespace CuSparse
/// \brief cuSPARSE implementation of Kokkos kernels.
///
/// \warning This namespace and everything in it is a implementation
/// detail of Kokkos. Do not rely on this namespace or anything
/// in it. It may change or disappear at any time.
namespace CuSparse {
/// \fn MV_Multiply_DoCuSparse
/// \brief Attempt to use cuSPARSE to implement sparse matrix-(multi)vector multiply.
/// \tparam T The type of entries in the output (range) vector(s).
/// \tparam RangeVectorType The type of the output (range) vector(s).
/// \tparam CrsMatrixType The type of the sparse matrix; must be a
/// Kokkos::CrsMatrix specialization.
/// \tparam DomainVectorType The type of the input (domain) vector(s).
///
/// \return \c true if the attempt succeeded, else \c false.
template<typename T, class RangeVectorType, class CrsMatrixType, class DomainVectorType>
bool
MV_Multiply_DoCuSparse (typename Kokkos::Impl::enable_if<! Kokkos::Impl::is_same<T, double>::value && ! Kokkos::Impl::is_same<T, float>::value, typename RangeVectorType::value_type>::type s_b, const RangeVectorType& y, typename DomainVectorType::value_type s_a, const CrsMatrixType& A , const DomainVectorType& x) {
return false;
}
template<typename T, class RangeVector,class CrsMatrix,class DomainVector>
bool
MV_Multiply_DoCuSparse (typename Kokkos::Impl::enable_if<Kokkos::Impl::is_same<T, double>::value, double>::type s_b,
const RangeVector& y,
double s_a,
const CrsMatrix& A,
const DomainVector& x)
{
if (x.dimension_1 () == 1) {
cusparseDcsrmv (A.cusparse_handle, CUSPARSE_OPERATION_NON_TRANSPOSE,
A.numRows(), A.numCols(), A.nnz(),
&s_a,
A.cusparse_descr,
A.values.ptr_on_device(),
(const int*) A.graph.row_map.ptr_on_device(),
A.graph.entries.ptr_on_device(),
x.ptr_on_device(),
&s_b,
y.ptr_on_device());
} else {
Impl::PhysicalLayout layout_x (x);
Impl::PhysicalLayout layout_y (y);
if ((layout_x.layout_type != layout_x.Left) || layout_y.layout_type != layout_y.Left) {
return false;
}
cusparseDcsrmm (A.cusparse_handle, CUSPARSE_OPERATION_NON_TRANSPOSE,
A.numRows(), x.dimension_1(), A.numCols(), A.nnz(),
&s_a,
A.cusparse_descr,
A.values.ptr_on_device(),
(const int*) A.graph.row_map.ptr_on_device(),
A.graph.entries.ptr_on_device(),
x.ptr_on_device(),
layout_x.stride[1],
&s_b,
y.ptr_on_device(),
layout_y.stride[1]);
}
return true;
}
template<typename T, class RangeVector,class CrsMatrix,class DomainVector>
bool MV_Multiply_DoCuSparse(typename Kokkos::Impl::enable_if<Kokkos::Impl::is_same<T,float>::value, float >::type s_b
,const RangeVector & y, float s_a,
const CrsMatrix & A , const DomainVector & x) {
if(x.dimension_1()==1) {
cusparseScsrmv(A.cusparse_handle,CUSPARSE_OPERATION_NON_TRANSPOSE,
A.numRows(), A.numCols(), A.nnz(),
&s_a,
A.cusparse_descr,
A.values.ptr_on_device(),
(const int*) A.graph.row_map.ptr_on_device(),
A.graph.entries.ptr_on_device(),
x.ptr_on_device(),
&s_b,
y.ptr_on_device());
} else {
Impl::PhysicalLayout layout_x(x);
Impl::PhysicalLayout layout_y(y);
if((layout_x.layout_type!=layout_x.Left) || layout_y.layout_type!=layout_y.Left) return false;
cusparseScsrmm(A.cusparse_handle,CUSPARSE_OPERATION_NON_TRANSPOSE,
A.numRows(), x.dimension_1(), A.numCols(), A.nnz(),
&s_a,
A.cusparse_descr,
A.values.ptr_on_device(),
(const int*) A.graph.row_map.ptr_on_device(),
A.graph.entries.ptr_on_device(),
x.ptr_on_device(),
layout_x.stride[1],
&s_b,
y.ptr_on_device(),
layout_y.stride[1]);
}
return true;
}
//ToDo: strip compatible type attributes (const, volatile); make type of s_b and s_a independent
template<class RangeVector,class CrsMatrix,class DomainVector>
bool
MV_Multiply_Try_CuSparse (typename RangeVector::value_type s_b,
const RangeVector& y,
typename DomainVector::value_type s_a,
const CrsMatrix& A,
const DomainVector& x)
{
if(!Kokkos::Impl::is_same<typename RangeVector::execution_space,typename Kokkos::Cuda>::value) return false;
if(Kokkos::Impl::is_same<typename RangeVector::non_const_value_type,float>::value&&
Kokkos::Impl::is_same<typename DomainVector::non_const_value_type,float>::value&&
Kokkos::Impl::is_same<typename CrsMatrix::values_type::non_const_value_type,float>::value) {
return MV_Multiply_DoCuSparse<typename RangeVector::value_type,RangeVector,CrsMatrix,DomainVector>(s_b,y,s_a,A,x);
} else
if(Kokkos::Impl::is_same<typename RangeVector::non_const_value_type,double>::value&&
Kokkos::Impl::is_same<typename DomainVector::non_const_value_type,double>::value&&
Kokkos::Impl::is_same<typename CrsMatrix::values_type::non_const_value_type,double>::value) {
return MV_Multiply_DoCuSparse<typename RangeVector::value_type,RangeVector,CrsMatrix,DomainVector>(s_b,y,s_a,A,x);
} else
return false;
}
} // namespace CuSparse
} // namespace Kokkos
#endif // KOKKOS_CRSMATRIX_CUSPARSE_HPP_
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