Tpetra parallel linear algebra  Version of the Day
 All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Macros Pages
Tpetra_LocalCrsMatrixOperator_decl.hpp
1 // @HEADER
2 // ***********************************************************************
3 //
4 // Tpetra: Templated Linear Algebra Services Package
5 // Copyright (2008) Sandia Corporation
6 //
7 // Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
8 // the U.S. Government retains certain rights in this software.
9 //
10 // Redistribution and use in source and binary forms, with or without
11 // modification, are permitted provided that the following conditions are
12 // met:
13 //
14 // 1. Redistributions of source code must retain the above copyright
15 // notice, this list of conditions and the following disclaimer.
16 //
17 // 2. Redistributions in binary form must reproduce the above copyright
18 // notice, this list of conditions and the following disclaimer in the
19 // documentation and/or other materials provided with the distribution.
20 //
21 // 3. Neither the name of the Corporation nor the names of the
22 // contributors may be used to endorse or promote products derived from
23 // this software without specific prior written permission.
24 //
25 // THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY
26 // EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
27 // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
28 // PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE
29 // CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
30 // EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
31 // PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
32 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
33 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
34 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
35 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
36 //
37 // ************************************************************************
38 // @HEADER
39 
40 #ifndef TPETRA_LOCALCRSMATRIXOPERATOR_DECL_HPP
41 #define TPETRA_LOCALCRSMATRIXOPERATOR_DECL_HPP
42 
43 #include "Tpetra_LocalCrsMatrixOperator_fwd.hpp"
44 #include "Tpetra_LocalOperator.hpp"
45 #include "KokkosSparse_CrsMatrix.hpp"
46 #include <memory> // std::shared_ptr
47 
48 namespace Tpetra {
49 
59  template<class MultiVectorScalar, class MatrixScalar, class Device>
61  public LocalOperator<MultiVectorScalar, Device> {
62  private:
63  using mv_scalar_type =
65  using matrix_scalar_type =
66  typename LocalOperator<MatrixScalar, Device>::scalar_type;
67  using array_layout =
69  using device_type =
71  using local_ordinal_type =
73  using execution_space = typename Device::execution_space;
74  public:
75  using local_matrix_device_type =
76  KokkosSparse::CrsMatrix<matrix_scalar_type,
77  local_ordinal_type,
78  device_type,
79  void,
80  size_t>;
81  private:
82  //The type of a matrix with offset=ordinal, but otherwise the same as local_matrix_device_type
83  using local_cusparse_matrix_type =
84  KokkosSparse::CrsMatrix<matrix_scalar_type,
85  local_ordinal_type,
86  device_type,
87  void,
88  local_ordinal_type>;
89  using local_graph_device_type = typename local_matrix_device_type::StaticCrsGraphType;
90 
91  public:
92  using ordinal_view_type = typename local_graph_device_type::entries_type::non_const_type;
93 
94  LocalCrsMatrixOperator (const std::shared_ptr<local_matrix_device_type>& A);
95  LocalCrsMatrixOperator (const std::shared_ptr<local_matrix_device_type>& A, const ordinal_view_type& A_ordinal_rowptrs);
96  ~LocalCrsMatrixOperator () override = default;
97 
98  void
99  apply (Kokkos::View<const mv_scalar_type**, array_layout,
100  device_type, Kokkos::MemoryTraits<Kokkos::Unmanaged> > X,
101  Kokkos::View<mv_scalar_type**, array_layout,
102  device_type, Kokkos::MemoryTraits<Kokkos::Unmanaged> > Y,
103  const Teuchos::ETransp mode,
104  const mv_scalar_type alpha,
105  const mv_scalar_type beta) const override;
106 
107  void
109  Kokkos::View<const mv_scalar_type**, array_layout,
110  device_type, Kokkos::MemoryTraits<Kokkos::Unmanaged> > X,
111  Kokkos::View<mv_scalar_type**, array_layout,
112  device_type, Kokkos::MemoryTraits<Kokkos::Unmanaged> > Y,
113  const Teuchos::ETransp mode,
114  const mv_scalar_type alpha,
115  const mv_scalar_type beta) const;
116 
117  bool hasTransposeApply () const override;
118 
119  const local_matrix_device_type& getLocalMatrixDevice () const;
120 
121  private:
122  std::shared_ptr<local_matrix_device_type> A_;
123  local_cusparse_matrix_type A_cusparse;
124  const bool have_A_cusparse;
125  };
126 
127 } // namespace Tpetra
128 
129 #endif // TPETRA_LOCALCRSMATRIXOPERATOR_DECL_HPP
Abstract interface for local operators (e.g., matrices and preconditioners).
Abstract interface for local operators (e.g., matrices and preconditioners).
int local_ordinal_type
Default value of Scalar template parameter.
void applyImbalancedRows(Kokkos::View< const mv_scalar_type **, array_layout, device_type, Kokkos::MemoryTraits< Kokkos::Unmanaged > > X, Kokkos::View< mv_scalar_type **, array_layout, device_type, Kokkos::MemoryTraits< Kokkos::Unmanaged > > Y, const Teuchos::ETransp mode, const mv_scalar_type alpha, const mv_scalar_type beta) const
Same behavior as apply() above, except give KokkosKernels a hint to use an SPMV algorithm that can ef...