/usr/include/trilinos/Stokhos_BlockCrsMatrix.hpp is in libtrilinos-stokhos-dev 12.12.1-5.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 | // @HEADER
// ***********************************************************************
//
// Stokhos Package
// Copyright (2009) Sandia Corporation
//
// Under terms of Contract DE-AC04-94AL85000, there is a non-exclusive
// license for use of this work by or on behalf of the U.S. Government.
//
// 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 Eric T. Phipps (etphipp@sandia.gov).
//
// ***********************************************************************
// @HEADER
#ifndef STOKHOS_BLOCKCRSMATRIX_HPP
#define STOKHOS_BLOCKCRSMATRIX_HPP
#include "Kokkos_Core.hpp"
#include "Kokkos_StaticCrsGraph.hpp"
#include "Stokhos_Multiply.hpp"
namespace Stokhos {
/** \brief CRS matrix of dense blocks.
*
* Matrix coefficients are stored by block and then by Crs entry.
* m_values( block.size() , m_graph.entry_count() )
*
* Vectors are conformally stored as
* View( block.dimension() , m_graph.row_map.length() )
*/
template <typename BlockSpec, typename ValueType, class Device>
class BlockCrsMatrix {
public:
typedef Device execution_space;
typedef typename execution_space::size_type size_type;
typedef ValueType value_type;
typedef BlockSpec block_spec;
typedef Kokkos::StaticCrsGraph< size_type , execution_space > graph_type;
typedef Kokkos::View< value_type**, Kokkos::LayoutLeft, execution_space > block_vector_type ;
block_vector_type values;
graph_type graph;
block_spec block;
};
template <typename BlockSpec,
typename MatrixValue,
typename VectorValue,
typename Device>
class Multiply< BlockCrsMatrix< BlockSpec, MatrixValue, Device >,
Kokkos::View< VectorValue**, Kokkos::LayoutLeft, Device >,
Kokkos::View< VectorValue**, Kokkos::LayoutLeft, Device > >
{
public:
typedef Device execution_space ;
typedef typename BlockSpec::size_type size_type ;
typedef Kokkos::View< VectorValue**, Kokkos::LayoutLeft, Device > block_vector_type ;
typedef BlockCrsMatrix< BlockSpec, MatrixValue, Device > matrix_type ;
const matrix_type m_A;
const block_vector_type m_x;
block_vector_type m_y;
Multiply( const matrix_type& A,
const block_vector_type& x,
block_vector_type& y )
: m_A( A )
, m_x( x )
, m_y( y )
{}
//--------------------------------------------------------------------------
// A( storage_size( m_A.block.size() ) , m_A.graph.row_map.size() );
// x( m_A.block.dimension() , m_A.graph.row_map.first_count() );
// y( m_A.block.dimension() , m_A.graph.row_map.first_count() );
//
KOKKOS_INLINE_FUNCTION
void operator()( const size_type iBlockRow ) const
{
// Prefer that y[ m_A.block.dimension() ] be scratch space
// on the local thread, but cannot dynamically allocate
VectorValue * const y = & m_y(0,iBlockRow);
const size_type iEntryBegin = m_A.graph.row_map[ iBlockRow ];
const size_type iEntryEnd = m_A.graph.row_map[ iBlockRow + 1 ];
// Leading dimension guaranteed contiguous for LayoutLeft
for ( size_type j = 0 ; j < m_A.block.dimension() ; ++j ) { y[j] = 0 ; }
for ( size_type iEntry = iEntryBegin ; iEntry < iEntryEnd ; ++iEntry ) {
const VectorValue * const x = & m_x( 0 , m_A.graph.entries(iEntry) );
const MatrixValue * const a = & m_A.values( 0 , iEntry );
BlockMultiply< BlockSpec >::apply( m_A.block , a , x , y );
}
}
static void apply( const matrix_type& A,
const block_vector_type& x,
block_vector_type& y )
{
const size_t row_count = A.graph.row_map.dimension_0() - 1;
Kokkos::parallel_for( row_count , Multiply(A,x,y) );
}
};
//----------------------------------------------------------------------------
//----------------------------------------------------------------------------
} // namespace Stokhos
#endif /* #ifndef STOKHOS_BLOCKCRSMATRIX_HPP */
|