mumps_solver.h

Go to the documentation of this file.

// LIC// ====================================================================
// LIC// This file forms part of oomph-lib, the object-oriented,
// LIC// multi-physics finite-element library, available
// LIC// at http://www.oomph-lib.org.
// LIC//
// LIC// Copyright (C) 2006-2024 Matthias Heil and Andrew Hazel
// LIC//
// LIC// This library is free software; you can redistribute it and/or
// LIC// modify it under the terms of the GNU Lesser General Public
// LIC// License as published by the Free Software Foundation; either
// LIC// version 2.1 of the License, or (at your option) any later version.
// LIC//
// LIC// This library is distributed in the hope that it will be useful,
// LIC// but WITHOUT ANY WARRANTY; without even the implied warranty of
// LIC// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
// LIC// Lesser General Public License for more details.
// LIC//
// LIC// You should have received a copy of the GNU Lesser General Public
// LIC// License along with this library; if not, write to the Free Software
// LIC// Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA
// LIC// 02110-1301  USA.
// LIC//
// LIC// The authors may be contacted at oomph-lib@maths.man.ac.uk.
// LIC//
// LIC//====================================================================
// This is the header file for the C++ wrapper functions for the
// mumps solver
 
// Include guards to prevent multiple inclusions of the header
#ifndef NEW_MUMPS_SOLVER_HEADER
#define NEW_MUMPS_SOLVER_HEADER
 
 
// Config header generated by autoconfig
#ifdef HAVE_CONFIG_H
#include <oomph-lib-config.h>
#endif
 
#ifdef OOMPH_HAS_MPI
#include "mpi.h"
#endif
 
#include "linear_solver.h"
#include "preconditioner.h"
 
#include <mumps_c_types.h>
#include <dmumps_c.h>
 
// offset macros for the 1-indexed (FORTRAN) arrays in the
// MUMPS interface; makes the control integers, info etc. easier to
// read w.r.t. the MUMPS documentation
#define ICNTL(i) icntl[(i)-1]
#define INFOG(i) infog[(i)-1]
#define INFO(i) info[(i)-1]
 
namespace oomph
{
  //====================================================================
  ///  Wrapper to Mumps solver
  //====================================================================
  class MumpsSolver : public LinearSolver
  {
  public:
    /// Static flag that determines whether the warning about
    /// incorrect distribution of RHSs will be printed or not
    static bool Suppress_incorrect_rhs_distribution_warning_in_resolve;
 
    /// Constructor: Call setup
    MumpsSolver();
 
    /// Broken copy constructor
    MumpsSolver(const MumpsSolver& dummy) = delete;
 
    /// Broken assignment operator
    void operator=(const MumpsSolver&) = delete;
 
    /// Destructor: Cleanup
    ~MumpsSolver();
 
    /// Overload disable resolve so that it cleans up memory too
    void disable_resolve()
    {
      LinearSolver::disable_resolve();
      clean_up_memory();
    }
 
    /// Set boolean to suppress warning about communicator
    /// not equal to MPI_COMM_WORLD
    void enable_suppress_warning_about_MPI_COMM_WORLD()
    {
      Suppress_warning_about_MPI_COMM_WORLD = true;
    }
 
    /// Don't suppress warning about communicator not equal to MPI_COMM_WORLD
    void disable_suppress_warning_about_MPI_COMM_WORLD()
    {
      Suppress_warning_about_MPI_COMM_WORLD = false;
    }
 
    /// Set boolean to suppress info being printed to screen
    /// during MUMPS solve
    void enable_suppress_mumps_info_during_solve()
    {
      Suppress_mumps_info_during_solve = true;
    }
 
    /// Don't suppress info being printed to screen during MUMPS solve
    void disable_suppress_mumps_info_during_solve()
    {
      Suppress_mumps_info_during_solve = false;
    }
 
    /// Solver: Takes pointer to problem and returns the results Vector
    /// which contains the solution of the linear system defined by
    /// the problem's fully assembled Jacobian and residual Vector.
    void solve(Problem* const& problem_pt, DoubleVector& result);
 
    /// Linear-algebra-type solver: Takes pointer to a matrix and rhs
    /// vector and returns the solution of the linear system.
    /// The function returns the global result Vector.
    /// Note: if Delete_matrix_data is true the function
    /// matrix_pt->clean_up_memory() will be used to wipe the matrix data.
    void solve(DoubleMatrixBase* const& matrix_pt,
               const DoubleVector& rhs,
               DoubleVector& result);
 
    /// Resolve the system defined by the last assembled Jacobian
    /// and the specified rhs vector if resolve has been enabled.
    /// Note: returns the global result Vector.
    void resolve(const DoubleVector& rhs, DoubleVector& result);
 
    /// Enable documentation of statistics
    void enable_doc_stats()
    {
      Doc_stats = true;
    }
 
    /// Disable documentation of statistics
    void disable_doc_stats()
    {
      Doc_stats = false;
    }
 
    /// Returns the time taken to assemble the Jacobian matrix and
    /// residual vector
    double jacobian_setup_time()
    {
      return Jacobian_setup_time;
    }
 
    /// Return the time taken to solve the linear system (needs to be
    /// overloaded for each linear solver)
    virtual double linear_solver_solution_time()
    {
      return Solution_time;
    }
 
    /// Set the flag to avoid solution of the system, so
    /// just assemble the Jacobian and the rhs.
    /// (Used only for timing runs, obviously)
    void enable_suppress_solve()
    {
      Suppress_solve = true;
    }
 
    /// Unset the flag so that the system is actually solved again
    /// This is the default (obviously)
    void disable_suppress_solve()
    {
      Suppress_solve = false;
    }
 
    /// Set Delete_matrix_data flag. MumpsSolver needs its own copy
    /// of the input matrix, therefore a copy must be made if any matrix
    /// used with this solver is to be preserved. If the input matrix can be
    /// deleted the flag can be set to true to reduce the amount of memory
    /// required, and the matrix data will be wiped using its clean_up_memory()
    /// function.  Default value is false.
    void enable_delete_matrix_data()
    {
      Delete_matrix_data = true;
    }
 
    /// Unset Delete_matrix_data flag. MumpsSolver needs its own copy
    /// of the input matrix, therefore a copy must be made if any matrix
    /// used with this solver is to be preserved. If the input matrix can be
    /// deleted the flag can be set to true to reduce the amount of memory
    /// required, and the matrix data will be wiped using its clean_up_memory()
    /// function.  Default value is false.
    void disable_delete_matrix_data()
    {
      Delete_matrix_data = false;
    }
 
    /// Do the factorisation stage
    /// Note: if Delete_matrix_data is true the function
    /// matrix_pt->clean_up_memory() will be used to wipe the matrix data.
    void factorise(DoubleMatrixBase* const& matrix_pt);
 
    /// Do the backsubstitution for mumps solver
    /// Note: returns the global result Vector.
    void backsub(const DoubleVector& rhs, DoubleVector& result);
 
    /// Clean up the memory allocated by the mumps solver
    void clean_up_memory();
 
    /// Default factor for workspace -- static so it can be overwritten
    /// globally.
    static int Default_workspace_scaling_factor;
 
    /// Tell MUMPS that the Jacobian matrix is unsymmetric
    void declare_jacobian_is_unsymmetric()
    {
      Jacobian_symmetry_flag = Unsymmetric;
    }
 
    /// Tell MUMPS that the Jacobian matrix is general symmetric
    void declare_jacobian_is_symmetric()
    {
      Jacobian_symmetry_flag = Symmetric;
    }
 
    /// Tell MUMPS that the Jacobian matrix is symmetric positive-definite
    void declare_jacobian_is_symmetric_positive_definite()
    {
      Jacobian_symmetry_flag = Symmetric_positive_definite;
    }
 
    // tell MUMPS to use the PORD package for the ordering
    void use_pord_ordering()
    {
      Jacobian_ordering_flag = Pord_ordering;
    }
 
    // tell MUMPS to use the METIS package for the ordering
    void use_metis_ordering()
    {
      Jacobian_ordering_flag = Metis_ordering;
    }
 
    // tell MUMPS to use the SCOTCH package for the ordering
    void use_scotch_ordering()
    {
      Jacobian_ordering_flag = Scotch_ordering;
    }
 
  private:
    /// Initialise instance of mumps data structure
    void initialise_mumps();
 
    /// Shutdown mumps
    void shutdown_mumps();
 
    /// Jacobian setup time
    double Jacobian_setup_time;
 
    /// Solution time
    double Solution_time;
 
    /// Suppress solve?
    bool Suppress_solve;
 
    /// Set to true for MumpsSolver to output statistics (false by default).
    bool Doc_stats;
 
    /// Boolean to suppress warning about communicator not equal to
    /// MPI_COMM_WORLD
    bool Suppress_warning_about_MPI_COMM_WORLD;
 
    /// Boolean to suppress info being printed to screen during MUMPS solve
    bool Suppress_mumps_info_during_solve;
 
    /// Has mumps been initialised?
    bool Mumps_is_initialised;
 
    // Work space scaling factor
    unsigned Workspace_scaling_factor;
 
    /// Delete_matrix_data flag. MumpsSolver needs its own copy
    /// of the input matrix, therefore a copy must be made if any matrix
    /// used with this solver is to be preserved. If the input matrix can be
    /// deleted the flag can be set to true to reduce the amount of memory
    /// required, and the matrix data will be wiped using its clean_up_memory()
    /// function. Default value is false.
    bool Delete_matrix_data;
 
    /// Vector for row numbers
    Vector<int> Irn_loc;
 
    // Vector for column numbers
    Vector<int> Jcn_loc;
 
    // Vector for entries
    Vector<double> A_loc;
 
    /// Pointer to MUMPS struct that contains the solver data
    DMUMPS_STRUC_C* Mumps_struc_pt;
 
    /// values of the SYM variable used by the MUMPS solver
    /// which dictates the symmetry properties of the Jacobian matrix;
    /// magic numbers as defined by MUMPS documentation
    enum MumpsJacobianSymmetryFlags
    {
      Unsymmetric = 0,
      Symmetric_positive_definite = 1,
      Symmetric = 2
    };
 
    /// ordering library to use for serial analysis;
    /// magic numbers as defined by MUMPS documentation
    enum MumpsJacobianOrderingFlags
    {
      Scotch_ordering = 3,
      Pord_ordering = 4,
      Metis_ordering = 5
    };
 
    /// symmetry of the Jacobian matrix we're solving;
    /// takes one of the enum values above
    unsigned Jacobian_symmetry_flag;
 
    /// stores an integer from the public enum
    /// which specifies which package (PORD, Metis or SCOTCH)
    /// is used to reorder the Jacobian matrix during the analysis
    unsigned Jacobian_ordering_flag;
  };
 
 
  /// ////////////////////////////////////////////////////////////////////
  /// ////////////////////////////////////////////////////////////////////
  /// ////////////////////////////////////////////////////////////////////
 
 
  //====================================================================
  /// An interface to allow Mumps to be used as an (exact) Preconditioner
  //====================================================================
  class NewMumpsPreconditioner : public Preconditioner
  {
  public:
    /// Constructor.
    NewMumpsPreconditioner() {}
 
    /// Destructor.
    ~NewMumpsPreconditioner() {}
 
    /// Broken copy constructor.
    NewMumpsPreconditioner(const NewMumpsPreconditioner&) = delete;
 
    /// Broken assignment operator.
    void operator=(const NewMumpsPreconditioner&) = delete;
 
    /// Function to set up a preconditioner for the linear
    /// system defined by matrix_pt. This function must be called
    /// before using preconditioner_solve.
    /// Note: matrix_pt must point to an object of class
    /// CRDoubleMatrix or CCDoubleMatrix
    void setup()
    {
      oomph_info << "Setting up Mumps (exact) preconditioner" << std::endl;
 
      DistributableLinearAlgebraObject* dist_matrix_pt =
        dynamic_cast<DistributableLinearAlgebraObject*>(matrix_pt());
      if (dist_matrix_pt != 0)
      {
        LinearAlgebraDistribution dist(dist_matrix_pt->distribution_pt());
        this->build_distribution(dist);
        Solver.factorise(matrix_pt());
      }
      else
      {
        std::ostringstream error_message_stream;
        error_message_stream
          << "NewMumpsPreconditioner can only be applied to matrices derived \n"
          << "DistributableLinearAlgebraObject.\n";
        throw OomphLibError(error_message_stream.str(),
                            OOMPH_CURRENT_FUNCTION,
                            OOMPH_EXCEPTION_LOCATION);
      }
    }
 
    /// Function applies Mumps to vector r for (exact)
    /// preconditioning, this requires a call to setup(...) first.
    void preconditioner_solve(const DoubleVector& r, DoubleVector& z)
    {
      Solver.resolve(r, z);
    }
 
 
    /// Clean up memory -- forward the call to the version in
    /// Mumps in its LinearSolver incarnation.
    void clean_up_memory()
    {
      Solver.clean_up_memory();
    }
 
 
    /// Enable documentation of timings
    void enable_doc_time()
    {
      Solver.enable_doc_time();
    }
 
    /// Disable the documentation of timings
    void disable_doc_time()
    {
      Solver.disable_doc_time();
    }
 
  private:
    /// the Mumps solver emplyed by this preconditioner
    MumpsSolver Solver;
  };
 
} // namespace oomph
 
#endif