Ifpack2_RILUK_decl.hpp

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// @HEADER
// *****************************************************************************
//       Ifpack2: Templated Object-Oriented Algebraic Preconditioner Package
//
// Copyright 2009 NTESS and the Ifpack2 contributors.
// SPDX-License-Identifier: BSD-3-Clause
// *****************************************************************************
// @HEADER
 
 
#ifndef IFPACK2_CRSRILUK_DECL_HPP
#define IFPACK2_CRSRILUK_DECL_HPP
 
#include "Ifpack2_Preconditioner.hpp"
#include "Ifpack2_Details_CanChangeMatrix.hpp"
#include "Tpetra_CrsMatrix_decl.hpp"
#include "Ifpack2_ScalingType.hpp"
#include "Ifpack2_IlukGraph.hpp"
#include "Ifpack2_LocalSparseTriangularSolver_decl.hpp"
 
#include <memory>
#include <type_traits>
 
namespace Teuchos {
class ParameterList;  // forward declaration
}
 
namespace Ifpack2 {
 
template <class MatrixType>
class RILUK : virtual public Ifpack2::Preconditioner<typename MatrixType::scalar_type,
                                                     typename MatrixType::local_ordinal_type,
                                                     typename MatrixType::global_ordinal_type,
                                                     typename MatrixType::node_type>,
              virtual public Ifpack2::Details::CanChangeMatrix<Tpetra::RowMatrix<typename MatrixType::scalar_type,
                                                                                 typename MatrixType::local_ordinal_type,
                                                                                 typename MatrixType::global_ordinal_type,
                                                                                 typename MatrixType::node_type> > {
 public:
  typedef typename MatrixType::scalar_type scalar_type;
 
  typedef typename MatrixType::local_ordinal_type local_ordinal_type;
 
  typedef typename MatrixType::global_ordinal_type global_ordinal_type;
 
  typedef typename MatrixType::node_type node_type;
 
  typedef typename Teuchos::ScalarTraits<scalar_type>::magnitudeType magnitude_type;
 
  typedef typename node_type::device_type device_type;
 
  typedef typename node_type::execution_space execution_space;
 
  typedef Tpetra::RowMatrix<scalar_type,
                            local_ordinal_type,
                            global_ordinal_type,
                            node_type>
      row_matrix_type;
 
  static_assert(std::is_same<MatrixType, row_matrix_type>::value, "Ifpack2::RILUK: The template parameter MatrixType must be a Tpetra::RowMatrix specialization.  Please don't use Tpetra::CrsMatrix (a subclass of Tpetra::RowMatrix) here anymore.");
 
  typedef Tpetra::CrsMatrix<scalar_type,
                            local_ordinal_type,
                            global_ordinal_type,
                            node_type>
      crs_matrix_type;
 
  typedef typename crs_matrix_type::impl_scalar_type impl_scalar_type;
 
  template <class NewMatrixType>
  friend class RILUK;
 
  typedef typename crs_matrix_type::global_inds_host_view_type global_inds_host_view_type;
  typedef typename crs_matrix_type::local_inds_host_view_type local_inds_host_view_type;
  typedef typename crs_matrix_type::values_host_view_type values_host_view_type;
 
  typedef typename crs_matrix_type::nonconst_global_inds_host_view_type nonconst_global_inds_host_view_type;
  typedef typename crs_matrix_type::nonconst_local_inds_host_view_type nonconst_local_inds_host_view_type;
  typedef typename crs_matrix_type::nonconst_values_host_view_type nonconst_values_host_view_type;
 
  typedef Tpetra::MultiVector<magnitude_type, local_ordinal_type,
                              global_ordinal_type, node_type>
      coord_type;
 
 
 
  typedef typename crs_matrix_type::local_matrix_device_type local_matrix_device_type;
  typedef typename local_matrix_device_type::StaticCrsGraphType::row_map_type lno_row_view_t;
  typedef typename local_matrix_device_type::StaticCrsGraphType::entries_type lno_nonzero_view_t;
  typedef typename local_matrix_device_type::values_type scalar_nonzero_view_t;
  typedef typename local_matrix_device_type::StaticCrsGraphType::device_type::memory_space TemporaryMemorySpace;
  typedef typename local_matrix_device_type::StaticCrsGraphType::device_type::memory_space PersistentMemorySpace;
  typedef typename local_matrix_device_type::StaticCrsGraphType::device_type::execution_space HandleExecSpace;
  typedef typename KokkosKernels::Experimental::KokkosKernelsHandle<typename lno_row_view_t::const_value_type, typename lno_nonzero_view_t::const_value_type, typename scalar_nonzero_view_t::value_type,
                                                                    HandleExecSpace, TemporaryMemorySpace, PersistentMemorySpace>
      kk_handle_type;
  typedef Ifpack2::IlukGraph<Tpetra::CrsGraph<local_ordinal_type, global_ordinal_type, node_type>, kk_handle_type> iluk_graph_type;
  typedef Kokkos::View<magnitude_type**, Kokkos::LayoutLeft, device_type> coors_view_t;
  typedef Kokkos::View<local_ordinal_type*, Kokkos::LayoutLeft, device_type> perm_view_t;
 
  RILUK(const Teuchos::RCP<const row_matrix_type>& A_in, const Teuchos::RCP<const coord_type>& A_in_coordinates = Teuchos::null);
 
  RILUK(const Teuchos::RCP<const crs_matrix_type>& A_in, const Teuchos::RCP<const coord_type>& A_in_coordinates = Teuchos::null);
 
 private:
  RILUK(const RILUK<MatrixType>& src);
 
 public:
  virtual ~RILUK();
 
  void setParameters(const Teuchos::ParameterList& params);
 
  void initialize();
 
  void compute();
 
  bool isInitialized() const {
    return isInitialized_;
  }
  bool isComputed() const {
    return isComputed_;
  }
 
  int getNumInitialize() const {
    return numInitialize_;
  }
  int getNumCompute() const {
    return numCompute_;
  }
  int getNumApply() const {
    return numApply_;
  }
 
  double getInitializeTime() const {
    return initializeTime_;
  }
  double getComputeTime() const {
    return computeTime_;
  }
  double getApplyTime() const {
    return applyTime_;
  }
 
  size_t getNodeSmootherComplexity() const;
 
 
 
  virtual void
  setMatrix(const Teuchos::RCP<const row_matrix_type>& A);
 
  void
  setCoord(const Teuchos::RCP<const coord_type>& A_coordinates);
 
 
 
  std::string description() const;
 
 
 
  Teuchos::RCP<const Tpetra::Map<local_ordinal_type, global_ordinal_type, node_type> >
  getDomainMap() const;
 
  Teuchos::RCP<const Tpetra::Map<local_ordinal_type, global_ordinal_type, node_type> >
  getRangeMap() const;
 
  void
  apply(const Tpetra::MultiVector<scalar_type, local_ordinal_type, global_ordinal_type, node_type>& X,
        Tpetra::MultiVector<scalar_type, local_ordinal_type, global_ordinal_type, node_type>& Y,
        Teuchos::ETransp mode = Teuchos::NO_TRANS,
        scalar_type alpha     = Teuchos::ScalarTraits<scalar_type>::one(),
        scalar_type beta      = Teuchos::ScalarTraits<scalar_type>::zero()) const;
 
 private:
  void
  multiply(const Tpetra::MultiVector<scalar_type, local_ordinal_type, global_ordinal_type, node_type>& X,
           Tpetra::MultiVector<scalar_type, local_ordinal_type, global_ordinal_type, node_type>& Y,
           const Teuchos::ETransp mode = Teuchos::NO_TRANS) const;
 
 public:
  Teuchos::RCP<const row_matrix_type> getMatrix() const;
 
  Teuchos::RCP<const coord_type> getCoord() const;
 
  // Attribute access functions
 
  magnitude_type getRelaxValue() const { return RelaxValue_; }
 
  magnitude_type getAbsoluteThreshold() const { return Athresh_; }
 
  magnitude_type getRelativeThreshold() const { return Rthresh_; }
 
  int getLevelOfFill() const { return LevelOfFill_; }
 
  Tpetra::CombineMode getOverlapMode() {
    TEUCHOS_TEST_FOR_EXCEPTION(
        true, std::logic_error,
        "Ifpack2::RILUK::SetOverlapMode: "
        "RILUK no longer implements overlap on its own.  "
        "Use RILUK with AdditiveSchwarz if you want overlap.");
  }
 
  Tpetra::global_size_t getGlobalNumEntries() const {
    return getL().getGlobalNumEntries() + getU().getGlobalNumEntries();
  }
 
  Teuchos::RCP<Ifpack2::IlukGraph<Tpetra::CrsGraph<local_ordinal_type,
                                                   global_ordinal_type,
                                                   node_type>,
                                  kk_handle_type> >
  getGraph() const {
    return Graph_;
  }
 
  const crs_matrix_type& getL() const;
 
  const Tpetra::Vector<scalar_type, local_ordinal_type, global_ordinal_type, node_type>&
  getD() const;
 
  const crs_matrix_type& getU() const;
 
  Teuchos::RCP<const crs_matrix_type> getCrsMatrix() const;
 
  static Teuchos::RCP<const row_matrix_type>
  makeLocalFilter(const Teuchos::RCP<const row_matrix_type>& A);
 
 private:
  typedef Tpetra::MultiVector<scalar_type, local_ordinal_type, global_ordinal_type, node_type> MV;
  typedef Teuchos::ScalarTraits<scalar_type> STS;
  typedef Teuchos::ScalarTraits<magnitude_type> STM;
 
  void allocateSolvers();
  void allocate_L_and_U();
  static void checkOrderingConsistency(const row_matrix_type& A);
  void initAllValues(const row_matrix_type& A);
 
  void compute_serial();
  void compute_kkspiluk();
// Workaround Cuda limitation of KOKKOS_LAMBDA in private/protected member functions
#ifdef KOKKOS_ENABLE_CUDA
 public:
#endif
  void compute_kkspiluk_stream();
#ifdef KOKKOS_ENABLE_CUDA
 private:
#endif
 
 protected:
  typedef Tpetra::Vector<scalar_type, local_ordinal_type, global_ordinal_type, node_type> vec_type;
 
  Teuchos::RCP<const row_matrix_type> A_;
 
  Teuchos::RCP<const coord_type> A_coordinates_;
 
  Teuchos::RCP<iluk_graph_type> Graph_;
  std::vector<Teuchos::RCP<iluk_graph_type> > Graph_v_;
  Teuchos::RCP<const row_matrix_type> A_local_;
  Teuchos::RCP<const crs_matrix_type> A_local_crs_;
  Teuchos::RCP<crs_matrix_type> A_local_crs_nc_;
  std::vector<local_matrix_device_type> A_local_diagblks_v_;
  std::vector<lno_row_view_t> A_local_diagblks_rowmap_v_;
  std::vector<lno_nonzero_view_t> A_local_diagblks_entries_v_;
  std::vector<scalar_nonzero_view_t> A_local_diagblks_values_v_;
 
  Teuchos::RCP<crs_matrix_type> L_;
  std::vector<Teuchos::RCP<crs_matrix_type> > L_v_;
  Teuchos::RCP<LocalSparseTriangularSolver<row_matrix_type> > L_solver_;
  Teuchos::RCP<crs_matrix_type> U_;
  std::vector<Teuchos::RCP<crs_matrix_type> > U_v_;
  Teuchos::RCP<LocalSparseTriangularSolver<row_matrix_type> > U_solver_;
 
  Teuchos::RCP<vec_type> D_;
 
  int LevelOfFill_;
  double Overalloc_;
 
  bool isAllocated_;
  bool isInitialized_;
  bool isComputed_;
 
  int numInitialize_;
  int numCompute_;
  mutable int numApply_;
 
  double initializeTime_;
  double computeTime_;
  mutable double applyTime_;
 
  magnitude_type RelaxValue_;
  magnitude_type Athresh_;
  magnitude_type Rthresh_;
 
  bool isKokkosKernelsSpiluk_;
  Teuchos::RCP<kk_handle_type> KernelHandle_;
  std::vector<Teuchos::RCP<kk_handle_type> > KernelHandle_v_;
  bool isKokkosKernelsStream_;
  int num_streams_;
  std::vector<execution_space> exec_space_instances_;
  bool hasStreamReordered_;
  bool hasStreamsWithRCB_;
  std::vector<typename lno_nonzero_view_t::non_const_type> perm_v_;
  std::vector<typename lno_nonzero_view_t::non_const_type> reverse_perm_v_;
  mutable std::unique_ptr<MV> Y_tmp_;
  mutable std::unique_ptr<MV> reordered_x_;
  mutable std::unique_ptr<MV> reordered_y_;
  perm_view_t perm_rcb_;
#if KOKKOS_VERSION >= 50100
  perm_view_t reverse_perm_rcb_;
  std::vector<local_ordinal_type> partition_sizes_rcb_;
#endif
  coors_view_t coors_rcb_;
};
 
// NOTE (mfh 11 Feb 2015) This used to exist in order to deal with
// different behavior of Tpetra::Crs{Graph,Matrix} for
// KokkosClassic::ThrustGPUNode.  In particular, fillComplete on a
// CrsMatrix used to make the graph go away by default, so we had to
// pass in a parameter to keep a host copy of the graph.  With the new
// (Kokkos refactor) version of Tpetra, this problem has gone away.
namespace detail {
template <class MatrixType, class NodeType>
struct setLocalSolveParams {
  static Teuchos::RCP<Teuchos::ParameterList>
  setParams(const Teuchos::RCP<Teuchos::ParameterList>& param) {
    return param;
  }
};
}  // namespace detail
 
}  // namespace Ifpack2
 
#endif /* IFPACK2_CRSRILUK_DECL_HPP */