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Wed, Dec 11, 18:59

sparse_solver_mumps.hh
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/**
* Copyright (©) 2010-2023 EPFL (Ecole Polytechnique Fédérale de Lausanne)
* Laboratory (LSMS - Laboratoire de Simulation en Mécanique des Solides)
*
* This file is part of Akantu
*
* 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;
} // namespace akantu
namespace akantu {
class SparseSolverMumps : public SparseSolver {
/* ------------------------------------------------------------------------ */
/* Constructors/Destructors */
/* ------------------------------------------------------------------------ */
public:
SparseSolverMumps(DOFManagerDefault & dof_manager, const ID & matrix_id,
const ID & id = "sparse_solver_mumps");
~SparseSolverMumps() override;
/* ------------------------------------------------------------------------ */
/* Methods */
/* ------------------------------------------------------------------------ */
public:
/// build the profile and do the analysis part
void initialize() override;
/// analysis (symbolic facto + permutations)
void analysis() override;
/// factorize the matrix
void factorize() override;
/// solve the system
virtual void solve(Array<Real> & x, const Array<Real> & b);
/// solve using residual and solution from the dof_manager
void solve() override;
private:
/// print the error if any happened in mumps
void printError();
/// solve the system with master_rhs_solution as b and x
void solveInternal();
/// set internal values;
void initMumpsData();
/// set the level of verbosity of mumps based on the debug level of akantu
void setOutputLevel();
protected:
/// de-initialize the internal data
void destroyInternalData() override;
/// check if initialized and except if it is not the case
void checkInitialized();
private:
void mumpsDataDestroy();
/* ------------------------------------------------------------------------ */
/* Accessors */
/* ------------------------------------------------------------------------ */
private:
/// access the control variable
inline Int & icntl(Int i) { return mumps_data.icntl[i - 1]; }
/// access the results info
inline Int & info(Int i) { return mumps_data.info[i - 1]; }
/* ------------------------------------------------------------------------ */
/* Class Members */
/* ------------------------------------------------------------------------ */
private:
/// DOFManager used by the Mumps implementation of the SparseSolver
DOFManagerDefault & dof_manager;
/// 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
Int prank;
/// matrix release at last solve
Int last_profile_release{-1};
/// matrix release at last solve
Int last_value_release{-1};
/// check if the solver data are initialized
bool is_initialized{false};
/* ------------------------------------------------------------------------ */
/* 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
};
};
} // namespace akantu
#endif /* AKANTU_SOLVER_MUMPS_HH_ */

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