Stokhos_Cuda_StochasticProductTensor.hpp

Go to the documentation of this file.

// @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_CUDA_STOCHASTICPRODUCTTENSOR_HPP
#define STOKHOS_CUDA_STOCHASTICPRODUCTTENSOR_HPP
 
#include "Kokkos_Core.hpp"
 
#include "Stokhos_Multiply.hpp"
#include "Stokhos_BlockCrsMatrix.hpp"
#include "Stokhos_StochasticProductTensor.hpp"
 
namespace Stokhos {
 
//----------------------------------------------------------------------------
//----------------------------------------------------------------------------
 
template< typename TensorScalar ,
          typename MatrixScalar ,
          typename VectorScalar ,
          typename TensorType >
class Multiply<
  BlockCrsMatrix<
    StochasticProductTensor<TensorScalar, TensorType, Kokkos::Cuda>,
    MatrixScalar, Kokkos::Cuda> ,
  Kokkos::View<VectorScalar**, Kokkos::LayoutLeft, Kokkos::Cuda>,
  Kokkos::View<VectorScalar**, Kokkos::LayoutLeft, Kokkos::Cuda> >
{
public:
 
  typedef Kokkos::Cuda                    execution_space ;
  typedef execution_space::size_type  size_type ;
 
  typedef StochasticProductTensor< TensorScalar , TensorType , Kokkos::Cuda > tensor_type ;
  typedef BlockCrsMatrix< tensor_type, MatrixScalar, execution_space > matrix_type ;
  typedef Kokkos::View< VectorScalar** , Kokkos::LayoutLeft , Kokkos::Cuda >           vector_type ;
 
 
  static void apply( const matrix_type & A ,
                     const vector_type & x ,
                     const vector_type & y )
  {
    typedef BlockCrsMatrix< TensorType, MatrixScalar , Kokkos::Cuda > base_matrix_type ;
 
    typedef Multiply< base_matrix_type , vector_type , vector_type >
      base_multiply_type ;
 
    base_matrix_type base_matrix ;
 
    base_matrix.values = A.values ;
    base_matrix.graph  = A.graph ;
    base_matrix.block  = A.block.tensor();
 
    base_multiply_type::apply( base_matrix , x , y );
  }
};
 
//----------------------------------------------------------------------------
//----------------------------------------------------------------------------
 
} // namespace Stokhos
 
#endif /* #ifndef STOKHOS_CUDA_STOCHASTICPRODUCTTENSOR_HPP */