/* Copyright 2019 SINTEF Digital, Mathematics and Cybernetics. Copyright 2021 Equinor This file is part of the Open Porous Media project (OPM). OPM is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. OPM 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 General Public License for more details. You should have received a copy of the GNU General Public License along with OPM. If not, see . */ #include #define BOOST_TEST_MODULE OPM_test_cusparseSolver #include #include #include #include #include #include #include #include #include #include #include class DeviceInitException : public std::logic_error { public: DeviceInitException(std::string msg) : logic_error(msg){}; }; template using Matrix = Dune::BCRSMatrix>; template using Vector = Dune::BlockVector>; template void readLinearSystem(const std::string& matrix_filename, const std::string& rhs_filename, Matrix& matrix, Vector& rhs) { { std::ifstream mfile(matrix_filename); if (!mfile) { throw std::runtime_error("Could not read matrix file"); } readMatrixMarket(matrix, mfile); } { std::ifstream rhsfile(rhs_filename); if (!rhsfile) { throw std::runtime_error("Could not read rhs file"); } readMatrixMarket(rhs, rhsfile); } } template Dune::BlockVector> getDuneSolution(Matrix& matrix, Vector& rhs) { Dune::InverseOperatorResult result; Vector x(rhs.size()); typedef Dune::MatrixAdapter,Vector,Vector > Operator; Operator fop(matrix); double relaxation = 0.9; Dune::SeqILU,Vector,Vector > prec(matrix, relaxation); double reduction = 1e-2; int maxit = 10; int verbosity = 0; Dune::BiCGSTABSolver > solver(fop, prec, reduction, maxit, verbosity); solver.apply(x, rhs, result); return x; } template void createBridge(const boost::property_tree::ptree& prm, std::unique_ptr, Vector, bz> >& bridge) { const int linear_solver_verbosity = prm.get("verbosity"); const int maxit = prm.get("maxiter"); const double tolerance = prm.get("tol"); const bool opencl_ilu_parallel(true); const int platformID = 0; const int deviceID = 0; const std::string accelerator_mode("cusparse"); const std::string linsolver("ilu0"); try { bridge = std::make_unique, Vector, bz> >(accelerator_mode, linear_solver_verbosity, maxit, tolerance, platformID, deviceID, opencl_ilu_parallel, linsolver); } catch (const std::logic_error& error) { BOOST_WARN_MESSAGE(true, error.what()); if (strstr(error.what(), "Could not get device") != nullptr) throw DeviceInitException(error.what()); else throw error; } } template Dune::BlockVector> testCusparseSolver(Opm::BdaBridge, Vector, bz>& bridge, Matrix& matrix, Vector& rhs) { Dune::InverseOperatorResult result; Vector x(rhs.size()); auto wellContribs = Opm::WellContributions::create("cusparse", false); auto mat2 = matrix; // deep copy to make sure nnz values are in contiguous memory // matrix created by readMatrixMarket() did not have contiguous memory bridge.solve_system(&mat2, &mat2, /*numJacobiBlocks=*/0, rhs, *wellContribs, result); bridge.get_result(x); return x; } template Dune::BlockVector> testCusparseSolverJacobi(Opm::BdaBridge, Vector, bz>& bridge, Matrix& matrix, Vector& rhs) { Dune::InverseOperatorResult result; Vector x(rhs.size()); auto wellContribs = Opm::WellContributions::create("cusparse", false); auto mat2 = matrix; // deep copy to make sure nnz values are in contiguous memory // matrix created by readMatrixMarket() did not have contiguous memory auto mat3 = matrix; // another deep copy, to make sure Jacobi matrix memory is different // the sparsity pattern and values are actually the same bridge.solve_system(&mat2, &mat3, /*numJacobiBlocks=*/2, rhs, *wellContribs, result); bridge.get_result(x); return x; } namespace pt = boost::property_tree; void test3(const pt::ptree& prm) { const int bz = 3; Matrix matrix; Vector rhs; std::unique_ptr, Vector, bz> > bridge; readLinearSystem("matr33.txt", "rhs3.txt", matrix, rhs); Vector rhs2 = rhs; // deep copy, getDuneSolution() changes values in rhs vector auto duneSolution = getDuneSolution(matrix, rhs); createBridge(prm, bridge); // create bridge with openclSolver // should create bridge only once // test cusparseSolver without Jacobi matrix auto sol = testCusparseSolver(*bridge, matrix, rhs2); BOOST_REQUIRE_EQUAL(sol.size(), duneSolution.size()); for (size_t i = 0; i < sol.size(); ++i) { for (int row = 0; row < bz; ++row) { BOOST_CHECK_CLOSE(sol[i][row], duneSolution[i][row], 1e-3); } } // test cusparseSolver with Jacobi matrix auto solJacobi = testCusparseSolverJacobi(*bridge, matrix, rhs2); BOOST_REQUIRE_EQUAL(solJacobi.size(), duneSolution.size()); for (size_t i = 0; i < solJacobi.size(); ++i) { for (int row = 0; row < bz; ++row) { BOOST_CHECK_CLOSE(solJacobi[i][row], duneSolution[i][row], 1e-3); } } } BOOST_AUTO_TEST_CASE(TestCusparseSolver) { pt::ptree prm; // Read parameters. { std::ifstream file("options_flexiblesolver.json"); pt::read_json(file, prm); } try { // Test with 3x3 block solvers. test3(prm); } catch(const DeviceInitException& ) { BOOST_WARN_MESSAGE(true, "Problem with initializing a device. skipping test"); } }