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bdc4573e2a
To support this the solveSystem methods of the LinearSolverInterface gets an optional additional template parameter of type boost::any. It can hold any copy constructable object. In our case it is used to pass the information about the parallelization into the solvers of dune-istl without the compiler needing to know their type. Inside of LinearSolverIstl::solveSystem we check whether the type stored inside of boost::any is the new ParallelIstlInformation. If this is the case we extract the information and use the parallel solvers if available, otherwise we solve serial/sequential. The new ParallelIstlInformation is needed as the OwnerOverlapCopyCommunication is not copy constructable. This is indeed a design flaw that should and will fixed upstream, but for the time being we need ParallelIstlInformation to transfer the ParallelIndexSet and RemoteIndices objects.
120 lines
3.0 KiB
C++
120 lines
3.0 KiB
C++
/*
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Copyright 2012 SINTEF ICT, Applied Mathematics.
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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 3 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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*/
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#if HAVE_CONFIG_H
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#include "config.h"
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#endif
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#include <opm/core/linalg/LinearSolverFactory.hpp>
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#if HAVE_SUITESPARSE_UMFPACK_H
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#include <opm/core/linalg/LinearSolverUmfpack.hpp>
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#endif
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#if HAVE_DUNE_ISTL
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#include <opm/core/linalg/LinearSolverIstl.hpp>
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#endif
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#include <opm/core/utility/parameters/ParameterGroup.hpp>
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#include <opm/core/utility/ErrorMacros.hpp>
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#include <string>
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namespace Opm
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{
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LinearSolverFactory::LinearSolverFactory()
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{
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#if HAVE_SUITESPARSE_UMFPACK_H
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solver_.reset(new LinearSolverUmfpack);
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#elif HAVE_DUNE_ISTL
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solver_.reset(new LinearSolverIstl);
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#else
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OPM_THROW(std::runtime_error, "No linear solver available, you must have UMFPACK or dune-istl installed to use LinearSolverFactory.");
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#endif
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}
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LinearSolverFactory::LinearSolverFactory(const parameter::ParameterGroup& param)
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{
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const std::string ls =
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param.getDefault<std::string>("linsolver", "umfpack");
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if (ls == "umfpack") {
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#if HAVE_SUITESPARSE_UMFPACK_H
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solver_.reset(new LinearSolverUmfpack);
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#endif
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}
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else if (ls == "istl") {
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#if HAVE_DUNE_ISTL
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solver_.reset(new LinearSolverIstl(param));
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#endif
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}
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else {
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OPM_THROW(std::runtime_error, "Linear solver " << ls << " is unknown.");
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}
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if (! solver_) {
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OPM_THROW(std::runtime_error, "Linear solver " << ls << " is not enabled in "
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"this configuration.");
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}
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}
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LinearSolverFactory::~LinearSolverFactory()
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{
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}
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LinearSolverInterface::LinearSolverReport
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LinearSolverFactory::solve(const int size,
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const int nonzeros,
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const int* ia,
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const int* ja,
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const double* sa,
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const double* rhs,
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double* solution,
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const boost::any& add) const
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{
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return solver_->solve(size, nonzeros, ia, ja, sa, rhs, solution, add);
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}
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void LinearSolverFactory::setTolerance(const double tol)
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{
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solver_->setTolerance(tol);
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}
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double LinearSolverFactory::getTolerance() const
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{
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return solver_->getTolerance();
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}
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} // namespace Opm
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