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https://github.com/OPM/opm-simulators.git
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124 lines
3.5 KiB
C++
124 lines
3.5 KiB
C++
/*
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Copyright 2024 SINTEF AS
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Copyright 2024 Equinor ASA
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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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#ifndef TEST_HYPREPRECONDITIONER_HELPER_HPP
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#define TEST_HYPREPRECONDITIONER_HELPER_HPP
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#include <boost/test/unit_test.hpp>
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#include <dune/common/fmatrix.hh>
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#include <dune/istl/bcrsmatrix.hh>
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#include <dune/istl/bvector.hh>
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#include <dune/istl/operators.hh>
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#include <dune/istl/solvers.hh>
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#include <opm/simulators/linalg/HyprePreconditioner.hpp>
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#include <opm/simulators/linalg/PropertyTree.hpp>
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template<class Matrix>
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void setupLaplace2d(int N, Matrix& mat)
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{
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const int nonZeroes = N*N * 5; // max 5 entries per row (diagonal + 4 neighbors)
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mat.setBuildMode(Matrix::row_wise);
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mat.setSize(N*N, N*N, nonZeroes);
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// Set up sparsity pattern
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for (auto row = mat.createbegin(); row != mat.createend(); ++row) {
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const int i = row.index();
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int x = i % N;
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int y = i / N;
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row.insert(i); // diagonal
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if (x > 0) // left neighbor
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row.insert(i-1);
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if (x < N-1) // right neighbor
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row.insert(i+1);
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if (y > 0) // upper neighbor
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row.insert(i-N);
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if (y < N-1) // lower neighbor
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row.insert(i+N);
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}
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// Fill the matrix with values
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for (auto row = mat.begin(); row != mat.end(); ++row) {
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const int i = row.index();
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int x = i % N;
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int y = i / N;
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// Set diagonal
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(*row)[i] = 4.0;
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// Set off-diagonal entries
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if (x > 0) // left neighbor
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(*row)[i-1] = -1.0;
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if (x < N-1) // right neighbor
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(*row)[i+1] = -1.0;
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if (y > 0) // upper neighbor
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(*row)[i-N] = -1.0;
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if (y < N-1) // lower neighbor
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(*row)[i+N] = -1.0;
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}
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}
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inline void testHyprePreconditioner(bool use_gpu)
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{
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constexpr int N = 100; // 100x100 grid
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using Matrix = Dune::BCRSMatrix<Dune::FieldMatrix<double, 1, 1>>;
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using Vector = Dune::BlockVector<Dune::FieldVector<double, 1>>;
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// Create matrix
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Matrix matrix;
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setupLaplace2d(N, matrix);
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// Create vectors
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Vector x(N*N), b(N*N);
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x = 100.0; // Initial guess
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b = 0.0; // RHS
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// Create operator
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using Operator = Dune::MatrixAdapter<Matrix, Vector, Vector>;
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Operator op(matrix);
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// Set up HYPRE parameters
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Opm::PropertyTree prm;
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prm.put("use_gpu", use_gpu ? 1 : 0);
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// Create preconditioner
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auto prec = std::make_shared<Hypre::HyprePreconditioner<Matrix, Vector, Vector>>(matrix, prm);
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// Create solver
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double reduction = 1e-8;
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int maxit = 300;
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int verbosity = 0;
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Dune::LoopSolver<Vector> solver(op, *prec, reduction, maxit, verbosity);
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// Solve
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Dune::InverseOperatorResult res;
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solver.apply(x, b, res);
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// Check convergence
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BOOST_CHECK(res.converged);
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BOOST_CHECK_LT(res.reduction, 1e-8);
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}
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#endif // TEST_HYPREPRECONDITIONER_HELPER_HPP
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