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109 lines
4.1 KiB
C++
109 lines
4.1 KiB
C++
/*
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Copyright 2022 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 OPM_ROCALUTIONSOLVER_BACKEND_HEADER_INCLUDED
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#define OPM_ROCALUTIONSOLVER_BACKEND_HEADER_INCLUDED
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#include <opm/simulators/linalg/bda/BdaResult.hpp>
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#include <opm/simulators/linalg/bda/BdaSolver.hpp>
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#include <opm/simulators/linalg/bda/WellContributions.hpp>
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namespace rocalution {
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template<class Matrix, class Vector, class Scalar> class BiCGStab;
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template<class Matrix, class Vector, class Scalar> class ILU;
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template<class Scalar> class LocalMatrix;
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template<class Scalar> class LocalVector;
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}
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namespace Opm
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{
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namespace Accelerator
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{
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/// This class implements a rocalution based linear solver solver on GPU
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/// It uses ilu0-bicgstab
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template <unsigned int block_size>
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class rocalutionSolverBackend : public BdaSolver<block_size>
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{
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typedef BdaSolver<block_size> Base;
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using Base::N;
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using Base::Nb;
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using Base::nnz;
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using Base::nnzb;
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using Base::verbosity;
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using Base::platformID;
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using Base::deviceID;
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using Base::maxit;
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using Base::tolerance;
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using Base::initialized;
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private:
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std::vector<double> h_x; // store solution vector on host
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int *tmp_rowpointers; // store matrix on host, this pointer is given to and freed by rocalution
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int *tmp_colindices; // store matrix on host, this pointer is given to and freed by rocalution
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double *tmp_nnzvalues; // store matrix on host, this pointer is given to and freed by rocalution
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std::unique_ptr<rocalution::ILU<rocalution::LocalMatrix<double>, rocalution::LocalVector<double>, double> > roc_prec;
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std::unique_ptr<rocalution::BiCGStab<rocalution::LocalMatrix<double>, rocalution::LocalVector<double>, double> > roc_solver;
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/// Initialize sizes and allocate memory
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/// \param[in] matrix matrix A
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void initialize(BlockedMatrix *matrix);
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/// Convert matrix to rocalution format
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/// copy matrix to raw pointers, which are given to and freed by rocalution
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/// \param[in] matrix matrix A
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void convert_matrix(BlockedMatrix *matrix);
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public:
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/// Construct a rocalutionSolver
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/// also initialize rocalution library and rocalution variables
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/// \param[in] linear_solver_verbosity verbosity of rocalutionSolver
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/// \param[in] maxit maximum number of iterations for rocalutionSolver
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/// \param[in] tolerance required relative tolerance for rocalutionSolver
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rocalutionSolverBackend(int linear_solver_verbosity, int maxit, double tolerance);
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/// Destroy a rocalutionSolver, and free memory
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~rocalutionSolverBackend();
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/// Solve linear system, A*x = b, matrix A must be in blocked-CSR format
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/// \param[in] matrix matrix A
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/// \param[in] b input vector, contains N values
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/// \param[in] jacMatrix matrix for preconditioner
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/// \param[in] wellContribs WellContributions, to apply them separately, instead of adding them to matrix A
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/// \param[inout] res summary of solver result
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/// \return status code
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SolverStatus solve_system(std::shared_ptr<BlockedMatrix> matrix, double *b,
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std::shared_ptr<BlockedMatrix> jacMatrix, WellContributions& wellContribs, BdaResult &res) override;
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/// Get result after linear solve, and peform postprocessing if necessary
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/// \param[inout] x resulting x vector, caller must guarantee that x points to a valid array
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void get_result(double *x) override;
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}; // end class rocalutionSolverBackend
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} // namespace Accelerator
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} // namespace Opm
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#endif
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