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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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