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rAKA/src/solver/solver_mumps.hh
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n/**
* @file sparse_solver_mumps.hh
*
* @author Nicolas Richart <nicolas.richart@epfl.ch>
*
* @date creation: Fri Jun 18 2010
* @date last modification: Tue Jan 19 2016
*
* @brief Solver class implementation for the mumps solver
*
* @section LICENSE
*
* Copyright (©) 2010-2012, 2014, 2015 EPFL (Ecole Polytechnique Fédérale de
* Lausanne) Laboratory (LSMS - Laboratoire de Simulation en Mécanique des
* Solides)
*
* Akantu is free software: you can redistribute it and/or modify it under the
* terms of the GNU Lesser General Public License as published by the Free
* Software Foundation, either version 3 of the License, or (at your option) any
* later version.
*
* Akantu is distributed in the hope that it will be useful, but WITHOUT ANY
* WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
* A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more
* details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with Akantu. If not, see <http://www.gnu.org/licenses/>.
*
*/
/* -------------------------------------------------------------------------- */
#include "sparse_solver.hh"
/* -------------------------------------------------------------------------- */
#include <dmumps_c.h>
/* -------------------------------------------------------------------------- */
#ifndef __AKANTU_SOLVER_MUMPS_HH__
#define __AKANTU_SOLVER_MUMPS_HH__
namespace akantu {
class DOFManagerDefault;
class SparseMatrixAIJ;
}
__BEGIN_AKANTU__
class SparseSolverMumps : public SparseSolver {
/* ------------------------------------------------------------------------ */
/* Constructors/Destructors */
/* ------------------------------------------------------------------------ */
public:
SparseSolverMumps(DOFManagerDefault & dof_manager,
const ID & matrix_id,
const ID & id = "sparse_solver_mumps",
const MemoryID & memory_id = 0);
virtual ~SparseSolverMumps();
/* ------------------------------------------------------------------------ */
/* Methods */
/* ------------------------------------------------------------------------ */
public:
/// build the profile and do the analysis part
virtual void initialize();
// void initializeSlave(SolverOptions & options = _solver_no_options);
/// analysis (symbolic facto + permutations)
virtual void analysis();
/// factorize the matrix
virtual void factorize();
/// solve the system
virtual void solve();
private:
/// print the error if any happened in mumps
void printError();
/// set internal values;
void initMumpsData();
/// set the level of verbosity of mumps based on the debug level of akantu
void setOutputLevel();
/* ------------------------------------------------------------------------ */
/* Accessors */
/* ------------------------------------------------------------------------ */
private:
/// access the control variable
inline Int & icntl(UInt i) { return mumps_data.icntl[i - 1]; }
/// access the results info
inline Int & info(UInt i) { return mumps_data.info[i - 1]; }
/* ------------------------------------------------------------------------ */
/* Class Members */
/* ------------------------------------------------------------------------ */
private:
/// DOFManager used by the Mumps implementation of the SparseSolver
DOFManagerDefault & dof_manager;
/// AIJ Matrix, usualy the jacobian matrix
SparseMatrixAIJ & matrix;
/// Right hand side per processors
const Array<Real> & rhs;
/// solution vector per processors
Array<Real> & solution;
/// Full right hand side on the master processors and solution after solve
Array<Real> master_rhs_solution;
/// mumps data
DMUMPS_STRUC_C mumps_data;
/// Rank of the current process
UInt prank;
/// matrix release at last solve
UInt last_profile_release;
/// matrix release at last solve
UInt last_value_release;
/* ------------------------------------------------------------------------ */
/* Local types */
/* ------------------------------------------------------------------------ */
private:
SolverParallelMethod parallel_method;
bool rhs_is_local;
enum SolverMumpsJob {
_smj_initialize = -1,
_smj_analyze = 1,
_smj_factorize = 2,
_smj_solve = 3,
_smj_analyze_factorize = 4,
_smj_factorize_solve = 5,
_smj_complete = 6, // analyze, factorize, solve
_smj_destroy = -2
};
};
__END_AKANTU__
#endif /* __AKANTU_SOLVER_MUMPS_HH__ */
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