Homec4science
Diffusion akantu (features/custom_cohesive_materials_python) Browse

rAKA/src/solver/solver_mumps.hh
03fe43e3763bfeatures/custom_cohesiv…

Last Change
Raw File

solver_mumps.hh
View Options

/**
* @file 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/>.
*
*/
/* -------------------------------------------------------------------------- */
#ifndef __AKANTU_SOLVER_MUMPS_HH__
#define __AKANTU_SOLVER_MUMPS_HH__
#include <dmumps_c.h>
#include "solver.hh"
#include "static_communicator.hh"
__BEGIN_AKANTU__
class SolverMumpsOptions : public SolverOptions {
public:
enum ParallelMethod {
_not_parallel,
_fully_distributed,
_master_slave_distributed,
_serial_split
};
SolverMumpsOptions(ParallelMethod parallel_method = _fully_distributed)
: SolverOptions(), parallel_method(parallel_method) {}
private:
friend class SolverMumps;
ParallelMethod parallel_method;
};
class SolverMumps : public Solver {
/* ------------------------------------------------------------------------ */
/* Constructors/Destructors */
/* ------------------------------------------------------------------------ */
public:
SolverMumps(SparseMatrix & sparse_matrix,
const ID & id = "solver_mumps",
const MemoryID & memory_id = 0,
StaticCommunicator & comm = StaticCommunicator::getStaticCommunicator());
virtual ~SolverMumps();
/* ------------------------------------------------------------------------ */
/* Methods */
/* ------------------------------------------------------------------------ */
public:
/// build the profile and do the analysis part
virtual void initialize(SolverOptions & options = _solver_no_options);
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(Array<Real> & solution);
virtual void solve();
void solveSlave();
virtual void setRHS(Array<Real> & rhs);
private:
/// print the error if any happened in mumps
void printError();
/// clean the mumps info
virtual void destroyInternalData();
/// set internal values;
void initMumpsData();
/* ------------------------------------------------------------------------ */
/* 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:
/// mumps data
DMUMPS_STRUC_C mumps_data;
/// specify if the mumps_data are initialized or not
bool is_mumps_data_initialized;
UInt prank;
/* ------------------------------------------------------------------------ */
/* Local types */
/* ------------------------------------------------------------------------ */
private:
SolverMumpsOptions::ParallelMethod 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__ */
c4science · Help