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https://github.com/OPM/opm-simulators.git
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d30073a885
Remove references to reordering
121 lines
4.3 KiB
C++
121 lines
4.3 KiB
C++
/*
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Copyright 2020 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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#include <config.h> // CMake
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#if HAVE_UMFPACK
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#include <dune/istl/umfpack.hh>
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#endif // HAVE_UMFPACK
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#include <opm/simulators/linalg/bda/MultisegmentWellContribution.hpp>
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namespace Opm
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{
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MultisegmentWellContribution::MultisegmentWellContribution(unsigned int dim_, unsigned int dim_wells_,
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unsigned int Mb_,
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std::vector<double> &Bvalues, std::vector<unsigned int> &BcolIndices, std::vector<unsigned int> &BrowPointers,
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unsigned int DnumBlocks_, double *Dvalues, UMFPackIndex *DcolPointers, UMFPackIndex *DrowIndices,
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std::vector<double> &Cvalues)
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:
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dim(dim_), // size of blockvectors in vectors x and y, equal to MultisegmentWell::numEq
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dim_wells(dim_wells_), // size of blocks in C, B and D, equal to MultisegmentWell::numWellEq
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M(Mb_ * dim_wells), // number of rows, M == dim_wells*Mb
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Mb(Mb_), // number of blockrows in C, D and B
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DnumBlocks(DnumBlocks_), // number of blocks in D
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// copy data for matrix D into vectors to prevent it going out of scope
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Dvals(Dvalues, Dvalues + DnumBlocks * dim_wells * dim_wells),
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Dcols(DcolPointers, DcolPointers + M + 1),
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Drows(DrowIndices, DrowIndices + DnumBlocks * dim_wells * dim_wells)
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{
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Cvals = std::move(Cvalues);
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Bvals = std::move(Bvalues);
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Bcols = std::move(BcolIndices);
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Brows = std::move(BrowPointers);
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z1.resize(Mb * dim_wells);
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z2.resize(Mb * dim_wells);
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umfpack_di_symbolic(M, M, Dcols.data(), Drows.data(), Dvals.data(), &UMFPACK_Symbolic, nullptr, nullptr);
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umfpack_di_numeric(Dcols.data(), Drows.data(), Dvals.data(), UMFPACK_Symbolic, &UMFPACK_Numeric, nullptr, nullptr);
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}
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MultisegmentWellContribution::~MultisegmentWellContribution()
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{
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umfpack_di_free_symbolic(&UMFPACK_Symbolic);
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umfpack_di_free_numeric(&UMFPACK_Numeric);
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}
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// Apply the MultisegmentWellContribution, similar to MultisegmentWell::apply()
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// h_x and h_y reside on host
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// y -= (C^T * (D^-1 * (B * x)))
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void MultisegmentWellContribution::apply(double *h_x, double *h_y)
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{
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// reset z1 and z2
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std::fill(z1.begin(), z1.end(), 0.0);
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std::fill(z2.begin(), z2.end(), 0.0);
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// z1 = B * x
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for (unsigned int row = 0; row < Mb; ++row) {
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// for every block in the row
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for (unsigned int blockID = Brows[row]; blockID < Brows[row + 1]; ++blockID) {
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unsigned int colIdx = Bcols[blockID];
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for (unsigned int j = 0; j < dim_wells; ++j) {
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double temp = 0.0;
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for (unsigned int k = 0; k < dim; ++k) {
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temp += Bvals[blockID * dim * dim_wells + j * dim + k] * h_x[colIdx * dim + k];
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}
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z1[row * dim_wells + j] += temp;
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}
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}
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}
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// z2 = D^-1 * (B * x)
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// umfpack
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umfpack_di_solve(UMFPACK_A, Dcols.data(), Drows.data(), Dvals.data(), z2.data(), z1.data(), UMFPACK_Numeric, nullptr, nullptr);
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// y -= (C^T * z2)
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// y -= (C^T * (D^-1 * (B * x)))
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for (unsigned int row = 0; row < Mb; ++row) {
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// for every block in the row
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for (unsigned int blockID = Brows[row]; blockID < Brows[row + 1]; ++blockID) {
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unsigned int colIdx = Bcols[blockID];
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for (unsigned int j = 0; j < dim; ++j) {
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double temp = 0.0;
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for (unsigned int k = 0; k < dim_wells; ++k) {
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temp += Cvals[blockID * dim * dim_wells + j + k * dim] * z2[row * dim_wells + k];
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}
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h_y[colIdx * dim + j] -= temp;
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}
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}
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}
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}
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#if HAVE_CUDA
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void MultisegmentWellContribution::setCudaStream(cudaStream_t stream_)
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{
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stream = stream_;
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}
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#endif
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} //namespace Opm
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