libtrilinos-ifpack2-dev 12.12.1-5 / usr / include / trilinos / Ifpack2_TriDiContainer_decl.hpp

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#ifndef IFPACK2_TRIDICONTAINER_DECL_HPP
#define IFPACK2_TRIDICONTAINER_DECL_HPP

/// \file Ifpack2_TriDiContainer_decl.hpp
/// \brief Ifpack2::TriDiContainer class declaration

#include "Ifpack2_Container.hpp"
#include "Ifpack2_Details_MultiVectorLocalGatherScatter.hpp"
#include "Ifpack2_Details_LapackSupportsScalar.hpp"
#include "Tpetra_MultiVector.hpp"
#include "Tpetra_Map.hpp"
#include "Tpetra_RowMatrix.hpp"
#include "Teuchos_SerialDenseVector.hpp"
#include "Teuchos_SerialTriDiMatrix.hpp"
#include <type_traits>
#include <string>

namespace Ifpack2 {

/// \class TriDiContainer
/// \brief Store and solve a local TriDi linear problem.
/// \tparam MatrixType A specialization of Tpetra::RowMatrix.
///
/// Please refer to the documentation of the Container
/// interface. Currently, Containers are used by BlockRelaxation.
/// Block relaxations need to be able to do two things:
/// <ol>
/// <li> Store the diagonal blocks </li>
/// <li> Solve linear systems with each diagonal block </li>
/// </ol>
/// TriDiContainer stores the diagonal blocks as TriDi matrices, and
/// solves them using LAPACK (for the four Scalar types that it
/// supports)
///
/// As with Ifpack2::Container, MatrixType must be a specialization of
/// Tpetra::RowMatrix.  Using a TriDi matrix for each block is a good
/// idea when the blocks are small.  For large and / or sparse blocks,
/// it would probably be better to use an implementation of Container
/// that stores the blocks sparsely, in particular SparseContainer.
/// If your matrix is banded but not tridiagonal, use BandedContainer.
///
/// This class may store the TriDi local matrix using values of a
/// different type (\c LocalScalarType) than those in \c MatrixType.
/// You may mix and match so long as implicit conversions are
/// available between \c LocalScalarType and
/// <tt>MatrixType::scalar_type</tt>.
///
/// This class currently assumes the following about the column and
/// row Maps of the input matrix:
/// <ol>
/// <li> On all processes, the column and row Maps begin with the same
///      set of on-process entries, in the same order.  That is,
///      on-process row and column indices are the same.</li>
/// <li> On all processes, all off-process indices in the column Map
///      of the input matrix occur after that initial set.</li>
/// </ol>
/// These assumptions may be violated if the input matrix is a
/// Tpetra::CrsMatrix specialization that was constructed with a
/// user-provided column Map.  The assumptions are not mathematically
/// necessary and could be relaxed at any time.  Implementers who wish
/// to do so will need to modify the extract() method, so that it
/// translates explicitly between local row and column indices,
/// instead of just assuming that they are the same.
template<class MatrixType, class LocalScalarType,
  bool lapackSupportsScalar = ::Ifpack2::Details::LapackSupportsScalar<LocalScalarType>::value>
    class TriDiContainer;

template<class MatrixType, class LocalScalarType>
class TriDiContainer<MatrixType, LocalScalarType, true> :
    public Container<MatrixType> {
  //! @name Internal typedefs (private)
  //@{
private:
  /// \brief The first template parameter of this class.
  ///
  /// This must be a Tpetra::RowMatrix specialization.  It may have
  /// entirely different template parameters (e.g., \c scalar_type)
  /// than \c InverseType.
  typedef MatrixType matrix_type;
  //! The second template parameter of this class.
  typedef LocalScalarType local_scalar_type;

  //! The type of entries in the input (global) matrix.
  typedef typename Container<MatrixType>::scalar_type scalar_type;
  //! The type of local indices in the input (global) matrix.
  typedef typename Container<MatrixType>::local_ordinal_type local_ordinal_type;
  //! The type of global indices in the input (global) matrix.
  typedef typename Container<MatrixType>::global_ordinal_type global_ordinal_type;
  //! The Node type of the input (global) matrix.
  typedef typename Container<MatrixType>::node_type node_type;

  typedef typename Container<MatrixType>::mv_type mv_type;
  typedef typename Container<MatrixType>::map_type map_type;
  typedef typename Container<MatrixType>::vector_type vector_type;
  typedef typename Container<MatrixType>::partitioner_type partitioner_type;
  typedef typename Container<MatrixType>::import_type import_type;

  typedef typename Container<MatrixType>::HostView HostView;
  typedef Tpetra::MultiVector<local_scalar_type, local_ordinal_type, global_ordinal_type, node_type> local_mv_type;
  typedef typename Kokkos::View<local_scalar_type**, Kokkos::HostSpace> HostViewLocal;

  static_assert (std::is_same<MatrixType, Tpetra::RowMatrix<scalar_type, local_ordinal_type, global_ordinal_type, node_type>>::value,
                 "Ifpack2::TriDiContainer: MatrixType must be a Tpetra::RowMatrix specialization.");

  /// \brief The (base class) type of the input matrix.
  ///
  /// The input matrix to the constructor may be either a
  /// Tpetra::RowMatrix specialization or a Tpetra::CrsMatrix
  /// specialization.  However, we want to make the constructor as
  /// general as possible, so we always accept the matrix as a
  /// Tpetra::RowMatrix.  This typedef is the appropriate
  /// specialization of Tpetra::RowMatrix.
  typedef typename Container<MatrixType>::row_matrix_type row_matrix_type;
  //@}
public:
  //! \name Constructor and destructor
  //@{

  /// \brief Constructor.
  ///
  /// \brief matrix [in] The original input matrix.  This Container
  ///   will construct a local diagonal block from the rows given by
  ///   <tt>localRows</tt>.
  ///
  /// \param localRows [in] The set of (local) rows assigned to this
  ///   container.  <tt>localRows[i] == j</tt>, where i (from 0 to
  ///   <tt>getNumRows() - 1</tt>) indicates the SparseContainer's
  ///   row, and j indicates the local row in the calling process.
  ///   <tt>localRows.size()</tt> gives the number of rows in the
  ///   local matrix on each process.  This may be different on
  ///   different processes.
  TriDiContainer (const Teuchos::RCP<const row_matrix_type>& matrix,
                  const Teuchos::Array<Teuchos::Array<local_ordinal_type> >& partitions,
                  const Teuchos::RCP<const import_type>& importer,
                  int OverlapLevel,
                  scalar_type DampingFactor);

  TriDiContainer (const Teuchos::RCP<const row_matrix_type>& matrix,
                  const Teuchos::Array<local_ordinal_type>& localRows);

  //! Destructor (declared virtual for memory safety of derived classes).
  virtual ~TriDiContainer ();

  //@}
  //! \name Get and set methods
  //@{

  //! Whether the container has been successfully initialized.
  virtual bool isInitialized() const;

  //! Whether the container has been successfully computed.
  virtual bool isComputed() const;

  //! Set all necessary parameters.
  virtual void setParameters(const Teuchos::ParameterList& List);

  //@}
  //! \name Mathematical functions
  //@{

  //! Do all set-up operations that only require matrix structure.
  virtual void initialize ();

  //! Extract the local diagonal block and prepare the solver.
  virtual void compute ();

  void clearBlocks();

  //! Compute <tt>Y := alpha * M^{-1} X + beta*Y</tt>.
  virtual void
  apply (HostView& X,
         HostView& Y,
         int blockIndex,
         int stride,
         Teuchos::ETransp mode = Teuchos::NO_TRANS,
         scalar_type alpha = Teuchos::ScalarTraits<scalar_type>::one(),
         scalar_type beta = Teuchos::ScalarTraits<scalar_type>::zero()) const;

  void applyImpl (HostViewLocal& X,
                  HostViewLocal& Y,
                  int blockIndex,
                  int stride,
                  Teuchos::ETransp mode,
                  local_scalar_type alpha,
                  local_scalar_type beta) const;

  //! Compute <tt>Y := alpha * diag(D) * M^{-1} (diag(D) * X) + beta*Y</tt>.
  virtual void
  weightedApply (HostView& X,
                 HostView& Y,
                 HostView& W,
                 int blockIndex,
                 int stride,
                 Teuchos::ETransp mode = Teuchos::NO_TRANS,
                 scalar_type alpha = Teuchos::ScalarTraits<scalar_type>::one(),
                 scalar_type beta = Teuchos::ScalarTraits<scalar_type>::zero()) const;

  //@}
  //! \name Miscellaneous methods
  //@{

  /// \brief Print information about this object to the given output stream.
  ///
  /// operator<< uses this method.
  virtual std::ostream& print (std::ostream& os) const;

  //@}
  //! @name Implementation of Teuchos::Describable
  //@{

  //! A one-line description of this object.
  virtual std::string description () const;

  //! Print the object with some verbosity level to the given FancyOStream.
  virtual void
  describe (Teuchos::FancyOStream &out,
            const Teuchos::EVerbosityLevel verbLevel =
            Teuchos::Describable::verbLevel_default) const;

  //@}

  /// \brief Get the name of this container type for Details::constructContainer()
  static std::string getName();
private:
  //! Copy constructor: Declared but not implemented, to forbid copy construction.
  TriDiContainer (const TriDiContainer<MatrixType, LocalScalarType>& rhs);

  //! Extract the submatrix identified by the local indices set by the constructor.
  void extract ();

  /// \brief Factor the extracted submatrix.
  ///
  /// Call this after calling extract().
  void factor ();

  //! The local diagonal blocks, which compute() extracts.
  std::vector<Teuchos::SerialTriDiMatrix<int, local_scalar_type>> diagBlocks_;

  //! Temporary X vector used in apply().
  mutable std::vector<HostViewLocal> X_local;

  //! Temporary Y vector used in apply().
  mutable std::vector<HostViewLocal> Y_local;

  //! Permutation array from LAPACK (GETRF).
  Teuchos::Array<int> ipiv_;

  //! If \c true, the container has been successfully initialized.
  bool IsInitialized_;

  //! If \c true, the container has been successfully computed.
  bool IsComputed_;

  //! Scalar data for all blocks
  local_scalar_type* scalars_;

  //! Offsets in scalars_ array for all blocks
  Teuchos::Array<int> scalarOffsets_;
};

template<class MatrixType, class LocalScalarType>
class TriDiContainer<MatrixType, LocalScalarType, false> :
    public Container<MatrixType> {
  //! @name Internal typedefs (private)
  //@{
private:
  /// \brief The first template parameter of this class.
  ///
  /// This must be a Tpetra::RowMatrix specialization.  It may have
  /// entirely different template parameters (e.g., \c scalar_type)
  /// than \c InverseType.
  typedef MatrixType matrix_type;
  //! The second template parameter of this class.
  typedef LocalScalarType local_scalar_type;

  //! The type of entries in the input (global) matrix.
  typedef typename Container<MatrixType>::scalar_type scalar_type;
  //! The type of local indices in the input (global) matrix.
  typedef typename Container<MatrixType>::local_ordinal_type local_ordinal_type;
  //! The type of global indices in the input (global) matrix.
  typedef typename Container<MatrixType>::global_ordinal_type global_ordinal_type;
  //! The Node type of the input (global) matrix.
  typedef typename Container<MatrixType>::node_type node_type;

  typedef typename Container<MatrixType>::mv_type mv_type;
  typedef typename Container<MatrixType>::map_type map_type;
  typedef typename Container<MatrixType>::vector_type vector_type;
  typedef typename Container<MatrixType>::partitioner_type partitioner_type;
  typedef typename Container<MatrixType>::import_type import_type;

  typedef typename Container<MatrixType>::HostView HostView;
  typedef Tpetra::MultiVector<local_scalar_type, local_ordinal_type, global_ordinal_type, node_type> local_mv_type;
  typedef typename Kokkos::View<local_scalar_type**, Kokkos::HostSpace> HostViewLocal;

  static_assert (std::is_same<MatrixType, Tpetra::RowMatrix<scalar_type, local_ordinal_type, global_ordinal_type, node_type>>::value,
                 "Ifpack2::TriDiContainer: MatrixType must be a Tpetra::RowMatrix specialization.");

  /// \brief The (base class) type of the input matrix.
  ///
  /// The input matrix to the constructor may be either a
  /// Tpetra::RowMatrix specialization or a Tpetra::CrsMatrix
  /// specialization.  However, we want to make the constructor as
  /// general as possible, so we always accept the matrix as a
  /// Tpetra::RowMatrix.  This typedef is the appropriate
  /// specialization of Tpetra::RowMatrix.
  typedef typename Container<MatrixType>::row_matrix_type row_matrix_type;
  //@}
public:
  //! \name Constructor and destructor
  //@{

  /// \brief Constructor.
  ///
  /// \brief matrix [in] The original input matrix.  This Container
  ///   will construct a local diagonal block from the rows given by
  ///   <tt>localRows</tt>.
  ///
  /// \param localRows [in] The set of (local) rows assigned to this
  ///   container.  <tt>localRows[i] == j</tt>, where i (from 0 to
  ///   <tt>getNumRows() - 1</tt>) indicates the SparseContainer's
  ///   row, and j indicates the local row in the calling process.
  ///   <tt>localRows.size()</tt> gives the number of rows in the
  ///   local matrix on each process.  This may be different on
  ///   different processes.
  TriDiContainer (const Teuchos::RCP<const row_matrix_type>& matrix,
                  const Teuchos::Array<Teuchos::Array<local_ordinal_type> >& partitions,
                  const Teuchos::RCP<const import_type>& importer,
                  int OverlapLevel,
                  scalar_type DampingFactor);

  TriDiContainer (const Teuchos::RCP<const row_matrix_type>& matrix,
                  const Teuchos::Array<local_ordinal_type>& localRows);

  //! Destructor (declared virtual for memory safety of derived classes).
  virtual ~TriDiContainer ();

  //@}
  //! \name Get and set methods
  //@{

  //! Whether the container has been successfully initialized.
  virtual bool isInitialized() const;

  //! Whether the container has been successfully computed.
  virtual bool isComputed() const;

  //! Set all necessary parameters.
  virtual void setParameters(const Teuchos::ParameterList& List);

  //@}
  //! \name Mathematical functions
  //@{

  //! Do all set-up operations that only require matrix structure.
  virtual void initialize ();

  //! Extract the local diagonal block and prepare the solver.
  virtual void compute ();

  void clearBlocks();

  //! Compute <tt>Y := alpha * M^{-1} X + beta*Y</tt>.
  virtual void
  apply (HostView& X,
         HostView& Y,
         int blockIndex,
         int stride,
         Teuchos::ETransp mode = Teuchos::NO_TRANS,
         scalar_type alpha = Teuchos::ScalarTraits<scalar_type>::one(),
         scalar_type beta = Teuchos::ScalarTraits<scalar_type>::zero()) const;

  void applyImpl (HostViewLocal& X,
                  HostViewLocal& Y,
                  int blockIndex,
                  int stride,
                  Teuchos::ETransp mode,
                  local_scalar_type alpha,
                  local_scalar_type beta) const;

  //! Compute <tt>Y := alpha * diag(D) * M^{-1} (diag(D) * X) + beta*Y</tt>.
  virtual void
  weightedApply (HostView& X,
                 HostView& Y,
                 HostView& W,
                 int blockIndex,
                 int stride,
                 Teuchos::ETransp mode = Teuchos::NO_TRANS,
                 scalar_type alpha = Teuchos::ScalarTraits<scalar_type>::one(),
                 scalar_type beta = Teuchos::ScalarTraits<scalar_type>::zero()) const;

  //@}
  //! \name Miscellaneous methods
  //@{

  /// \brief Print information about this object to the given output stream.
  ///
  /// operator<< uses this method.
  virtual std::ostream& print (std::ostream& os) const;

  //@}
  //! @name Implementation of Teuchos::Describable
  //@{

  //! A one-line description of this object.
  virtual std::string description () const;

  //! Print the object with some verbosity level to the given FancyOStream.
  virtual void
  describe (Teuchos::FancyOStream &out,
            const Teuchos::EVerbosityLevel verbLevel =
            Teuchos::Describable::verbLevel_default) const;

  //@}

  /// \brief Get the name of this container type for Details::constructContainer()
  static std::string getName();
private:
  //! Copy constructor: Declared but not implemented, to forbid copy construction.
  TriDiContainer (const TriDiContainer<MatrixType, LocalScalarType>& rhs);

  //! Extract the submatrix identified by the local indices set by the constructor.
  void extract ();

  /// \brief Factor the extracted submatrix.
  ///
  /// Call this after calling extract().
  void factor ();

  //! The local diagonal blocks, which compute() extracts.
  std::vector<Teuchos::SerialTriDiMatrix<int, local_scalar_type>> diagBlocks_;

  //! Temporary X vector used in apply().
  mutable std::vector<HostViewLocal> X_local;

  //! Temporary Y vector used in apply().
  mutable std::vector<HostViewLocal> Y_local;

  //! Permutation array from LAPACK (GETRF).
  Teuchos::Array<int> ipiv_;

  //! If \c true, the container has been successfully initialized.
  bool IsInitialized_;

  //! If \c true, the container has been successfully computed.
  bool IsComputed_;

  //! Scalar data for all blocks
  local_scalar_type* scalars_;

  //! Offsets in scalars_ array for all blocks
  Teuchos::Array<int> scalarOffsets_;
};

}// namespace Ifpack2

#endif // IFPACK2_TRIDICONTAINER_DECL_HPP