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https://github.com/OPM/opm-simulators.git
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171 lines
6.3 KiB
C++
171 lines
6.3 KiB
C++
// -*- mode: C++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*-
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// vi: set et ts=4 sw=4 sts=4:
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/*
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This file is part of the Open Porous Media project (OPM).
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OPM is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 2 of the License, or
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(at your option) any later version.
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OPM is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with OPM. If not, see <http://www.gnu.org/licenses/>.
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Consult the COPYING file in the top-level source directory of this
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module for the precise wording of the license and the list of
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copyright holders.
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*/
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/*!
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* \file
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* \copydoc Opm::Linear::ParallelBiCGStabSolverBackend
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*/
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#ifndef EWOMS_PARALLEL_BICGSTAB_BACKEND_HH
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#define EWOMS_PARALLEL_BICGSTAB_BACKEND_HH
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#include "parallelbasebackend.hh"
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#include "bicgstabsolver.hh"
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#include "combinedcriterion.hh"
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#include "istlsparsematrixadapter.hh"
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#include <memory>
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namespace Opm {
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namespace Linear {
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template <class TypeTag>
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class ParallelBiCGStabSolverBackend;
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}} // namespace Linear, Ewoms
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BEGIN_PROPERTIES
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NEW_TYPE_TAG(ParallelBiCGStabLinearSolver, INHERITS_FROM(ParallelBaseLinearSolver));
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NEW_PROP_TAG(LinearSolverMaxError);
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SET_TYPE_PROP(ParallelBiCGStabLinearSolver,
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LinearSolverBackend,
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Opm::Linear::ParallelBiCGStabSolverBackend<TypeTag>);
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SET_SCALAR_PROP(ParallelBiCGStabLinearSolver, LinearSolverMaxError, 1e7);
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END_PROPERTIES
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namespace Opm {
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namespace Linear {
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/*!
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* \ingroup Linear
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*
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* \brief Implements a generic linear solver abstraction.
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*
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* Chosing the preconditioner works by setting the "PreconditionerWrapper" property:
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*
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* \code
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* SET_TYPE_PROP(YourTypeTag, PreconditionerWrapper,
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* Opm::Linear::PreconditionerWrapper$PRECONDITIONER<TypeTag>);
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* \endcode
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*
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* Where the choices possible for '\c $PRECONDITIONER' are:
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* - \c Jacobi: A Jacobi preconditioner
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* - \c GaussSeidel: A Gauss-Seidel preconditioner
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* - \c SSOR: A symmetric successive overrelaxation (SSOR) preconditioner
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* - \c SOR: A successive overrelaxation (SOR) preconditioner
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* - \c ILUn: An ILU(n) preconditioner
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* - \c ILU0: An ILU(0) preconditioner. The results of this
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* preconditioner are the same as setting the
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* PreconditionerOrder property to 0 and using the ILU(n)
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* preconditioner. The reason for the existence of ILU0 is
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* that it is computationally cheaper because it does not
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* need to consider things which are only required for
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* higher orders
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*/
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template <class TypeTag>
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class ParallelBiCGStabSolverBackend : public ParallelBaseBackend<TypeTag>
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{
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typedef ParallelBaseBackend<TypeTag> ParentType;
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typedef typename GET_PROP_TYPE(TypeTag, Scalar) Scalar;
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typedef typename GET_PROP_TYPE(TypeTag, Simulator) Simulator;
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typedef typename GET_PROP_TYPE(TypeTag, SparseMatrixAdapter) SparseMatrixAdapter;
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typedef typename ParentType::ParallelOperator ParallelOperator;
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typedef typename ParentType::OverlappingVector OverlappingVector;
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typedef typename ParentType::ParallelPreconditioner ParallelPreconditioner;
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typedef typename ParentType::ParallelScalarProduct ParallelScalarProduct;
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typedef typename SparseMatrixAdapter::MatrixBlock MatrixBlock;
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typedef BiCGStabSolver<ParallelOperator,
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OverlappingVector,
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ParallelPreconditioner> RawLinearSolver;
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static_assert(std::is_same<SparseMatrixAdapter, IstlSparseMatrixAdapter<MatrixBlock> >::value,
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"The ParallelIstlSolverBackend linear solver backend requires the IstlSparseMatrixAdapter");
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public:
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ParallelBiCGStabSolverBackend(const Simulator& simulator)
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: ParentType(simulator)
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{ }
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static void registerParameters()
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{
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ParentType::registerParameters();
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EWOMS_REGISTER_PARAM(TypeTag, Scalar, LinearSolverMaxError,
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"The maximum residual error which the linear solver tolerates"
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" without giving up");
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}
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protected:
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friend ParentType;
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std::shared_ptr<RawLinearSolver> prepareSolver_(ParallelOperator& parOperator,
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ParallelScalarProduct& parScalarProduct,
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ParallelPreconditioner& parPreCond)
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{
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const auto& gridView = this->simulator_.gridView();
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typedef CombinedCriterion<OverlappingVector, decltype(gridView.comm())> CCC;
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Scalar linearSolverTolerance = EWOMS_GET_PARAM(TypeTag, Scalar, LinearSolverTolerance);
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Scalar linearSolverAbsTolerance = EWOMS_GET_PARAM(TypeTag, Scalar, LinearSolverAbsTolerance);
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if(linearSolverAbsTolerance < 0.0)
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linearSolverAbsTolerance = this->simulator_.model().newtonMethod().tolerance() / 100.0;
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convCrit_.reset(new CCC(gridView.comm(),
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/*residualReductionTolerance=*/linearSolverTolerance,
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/*absoluteResidualTolerance=*/linearSolverAbsTolerance,
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EWOMS_GET_PARAM(TypeTag, Scalar, LinearSolverMaxError)));
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auto bicgstabSolver =
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std::make_shared<RawLinearSolver>(parPreCond, *convCrit_, parScalarProduct);
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int verbosity = 0;
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if (parOperator.overlap().myRank() == 0)
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verbosity = EWOMS_GET_PARAM(TypeTag, int, LinearSolverVerbosity);
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bicgstabSolver->setVerbosity(verbosity);
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bicgstabSolver->setMaxIterations(EWOMS_GET_PARAM(TypeTag, int, LinearSolverMaxIterations));
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bicgstabSolver->setLinearOperator(&parOperator);
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bicgstabSolver->setRhs(this->overlappingb_);
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return bicgstabSolver;
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}
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std::pair<bool,int> runSolver_(std::shared_ptr<RawLinearSolver> solver)
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{
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bool converged = solver->apply(*this->overlappingx_);
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return std::make_pair(converged, int(solver->report().iterations()));
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}
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void cleanupSolver_()
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{ /* nothing to do */ }
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std::unique_ptr<ConvergenceCriterion<OverlappingVector> > convCrit_;
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};
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}} // namespace Linear, Ewoms
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#endif
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