mirror of
https://github.com/OPM/opm-simulators.git
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e4d6acc23b
prefer anonymous parameters and c++17 [[maybe_unused]]
185 lines
5.8 KiB
C++
185 lines
5.8 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::SuperLUBackend
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*/
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#ifndef EWOMS_SUPER_LU_BACKEND_HH
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#define EWOMS_SUPER_LU_BACKEND_HH
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#if HAVE_SUPERLU
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#include <opm/models/linear/istlsparsematrixbackend.hh>
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#include <opm/models/utils/parametersystem.hh>
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#include <opm/simulators/linalg/linalgproperties.hh>
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#include <opm/material/common/Unused.hpp>
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#include <dune/istl/superlu.hh>
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#include <dune/common/fmatrix.hh>
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#include <dune/common/version.hh>
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namespace Opm::Properties::TTag {
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struct SuperLULinearSolver {};
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} // namespace Opm::Properties::TTag
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namespace Opm {
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namespace Linear {
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template <class Scalar, class TypeTag, class Matrix, class Vector>
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class SuperLUSolve_;
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/*!
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* \ingroup Linear
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* \brief A linear solver backend for the SuperLU sparse matrix library.
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*/
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template <class TypeTag>
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class SuperLUBackend
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{
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using Scalar = GetPropType<TypeTag, Properties::Scalar>;
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using Simulator = GetPropType<TypeTag, Properties::Simulator>;
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using SparseMatrixAdapter = GetPropType<TypeTag, Properties::SparseMatrixAdapter>;
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using Matrix = typename SparseMatrixAdapter::block_type;
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static_assert(std::is_same<SparseMatrixAdapter, IstlSparseMatrixAdapter<MatrixBlock>::value,
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"The SuperLU linear solver backend requires the IstlSparseMatrixAdapter");
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public:
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SuperLUBackend(Simulator&)
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{}
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static void registerParameters()
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{
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EWOMS_REGISTER_PARAM(TypeTag, int, LinearSolverVerbosity,
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"The verbosity level of the linear solver");
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}
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/*!
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* \brief Causes the solve() method to discared the structure of the linear system of
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* equations the next time it is called.
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*
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* Since the SuperLU backend does not create any internal matrices, this is a no-op.
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*/
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void eraseMatrix()
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{ }
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void prepare(const SparseMatrixAdapter& M, const Vector& b)
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{ }
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void setResidual(const Vector& b)
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{ b_ = &b; }
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void getResidual(Vector& b) const
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{ b = *b_; }
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void setMatrix(const SparseMatrixAdapter& M)
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{ M_ = &M; }
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bool solve(Vector& x)
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{ return SuperLUSolve_<Scalar, TypeTag, Matrix, Vector>::solve_(*M_, x, *b_); }
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private:
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const Matrix* M_;
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Vector* b_;
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};
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template <class Scalar, class TypeTag, class Matrix, class Vector>
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class SuperLUSolve_
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{
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public:
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static bool solve_(const Matrix& A, Vector& x, const Vector& b)
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{
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Vector bTmp(b);
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int verbosity = EWOMS_GET_PARAM(TypeTag, int, LinearSolverVerbosity);
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Dune::InverseOperatorResult result;
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Dune::SuperLU<Matrix> solver(A, verbosity > 0);
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solver.apply(x, bTmp, result);
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if (result.converged) {
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// make sure that the result only contains finite values.
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Scalar tmp = 0;
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for (unsigned i = 0; i < x.size(); ++i) {
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const auto& xi = x[i];
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for (unsigned j = 0; j < Vector::block_type::dimension; ++j)
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tmp += xi[j];
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}
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result.converged = std::isfinite(tmp);
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}
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return result.converged;
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}
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};
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// the following is required to make the SuperLU adapter of dune-istl happy with
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// quadruple precision math on Dune 2.4. this is because the most which SuperLU can
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// handle is double precision (i.e., the linear systems of equations are always solved
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// with at most double precision if chosing SuperLU as the linear solver...)
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#if HAVE_QUAD
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template <class TypeTag, class Matrix, class Vector>
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class SuperLUSolve_<__float128, TypeTag, Matrix, Vector>
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{
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public:
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static bool solve_(const Matrix& A,
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Vector& x,
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const Vector& b)
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{
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static const int numEq = getPropValue<TypeTag, Properties::NumEq>();
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using DoubleEqVector = Dune::FieldVector<double, numEq>;
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using DoubleEqMatrix = Dune::FieldMatrix<double, numEq, numEq>;
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using DoubleVector = Dune::BlockVector<DoubleEqVector>;
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using DoubleMatrix = Dune::BCRSMatrix<DoubleEqMatrix>;
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// copy the inputs into the double precision data structures
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DoubleVector bDouble(b);
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DoubleVector xDouble(x);
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DoubleMatrix ADouble(A);
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bool res =
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SuperLUSolve_<double, TypeTag, Matrix, Vector>::solve_(ADouble,
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xDouble,
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bDouble);
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// copy the result back into the quadruple precision vector.
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x = xDouble;
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return res;
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}
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};
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#endif
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} // namespace Linear
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} // namespace Opm
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namespace Opm::Properties {
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template<class TypeTag>
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struct LinearSolverVerbosity<TypeTag, TTag::SuperLULinearSolver> { static constexpr int value = 0; };
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template<class TypeTag>
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struct LinearSolverBackend<TypeTag, TTag::SuperLULinearSolver> { using type = Opm::Linear::SuperLUBackend<TypeTag>; };
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} // namespace Opm::Properties
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#endif // HAVE_SUPERLU
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#endif
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