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Merge duplicate functions
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@ -52,103 +52,7 @@ BILU0<block_size>::BILU0(ILUReorder opencl_ilu_reorder_, int verbosity_) :
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template <unsigned int block_size>
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bool BILU0<block_size>::analyze_matrix(BlockedMatrix *mat)
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{
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const unsigned int bs = block_size;
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this->N = mat->Nb * block_size;
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this->Nb = mat->Nb;
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this->nnz = mat->nnzbs * block_size * block_size;
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this->nnzb = mat->nnzbs;
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std::vector<int> CSCRowIndices;
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std::vector<int> CSCColPointers;
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if (opencl_ilu_reorder == ILUReorder::NONE) {
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LUmat = std::make_unique<BlockedMatrix>(*mat);
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} else {
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toOrder.resize(Nb);
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fromOrder.resize(Nb);
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CSCRowIndices.resize(nnzb);
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CSCColPointers.resize(Nb + 1);
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rmat = std::make_shared<BlockedMatrix>(mat->Nb, mat->nnzbs, block_size);
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LUmat = std::make_unique<BlockedMatrix>(*rmat);
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Timer t_convert;
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csrPatternToCsc(mat->colIndices, mat->rowPointers, CSCRowIndices.data(), CSCColPointers.data(), mat->Nb);
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if (verbosity >= 3) {
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std::ostringstream out;
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out << "BILU0 convert CSR to CSC: " << t_convert.stop() << " s";
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OpmLog::info(out.str());
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}
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}
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Timer t_analysis;
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std::ostringstream out;
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if (opencl_ilu_reorder == ILUReorder::LEVEL_SCHEDULING) {
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out << "BILU0 reordering strategy: " << "level_scheduling\n";
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findLevelScheduling(mat->colIndices, mat->rowPointers, CSCRowIndices.data(), CSCColPointers.data(), mat->Nb, &numColors, toOrder.data(), fromOrder.data(), rowsPerColor);
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} else if (opencl_ilu_reorder == ILUReorder::GRAPH_COLORING) {
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out << "BILU0 reordering strategy: " << "graph_coloring\n";
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findGraphColoring<block_size>(mat->colIndices, mat->rowPointers, CSCRowIndices.data(), CSCColPointers.data(), mat->Nb, mat->Nb, mat->Nb, &numColors, toOrder.data(), fromOrder.data(), rowsPerColor);
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} else if (opencl_ilu_reorder == ILUReorder::NONE) {
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out << "BILU0 reordering strategy: none\n";
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// numColors = 1;
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// rowsPerColor.emplace_back(Nb);
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numColors = Nb;
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for (int i = 0; i < Nb; ++i) {
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rowsPerColor.emplace_back(1);
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}
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} else {
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OPM_THROW(std::logic_error, "Error ilu reordering strategy not set correctly\n");
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}
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if (verbosity >= 1) {
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out << "BILU0 analysis took: " << t_analysis.stop() << " s, " << numColors << " colors\n";
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}
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#if CHOW_PATEL
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out << "BILU0 CHOW_PATEL: " << CHOW_PATEL << ", CHOW_PATEL_GPU: " << CHOW_PATEL_GPU;
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#endif
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OpmLog::info(out.str());
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diagIndex.resize(mat->Nb);
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invDiagVals.resize(mat->Nb * bs * bs);
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#if CHOW_PATEL
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Lmat = std::make_unique<BlockedMatrix>(mat->Nb, (mat->nnzbs - mat->Nb) / 2, bs);
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Umat = std::make_unique<BlockedMatrix>(mat->Nb, (mat->nnzbs - mat->Nb) / 2, bs);
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#endif
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s.invDiagVals = cl::Buffer(*context, CL_MEM_READ_WRITE, sizeof(double) * bs * bs * mat->Nb);
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s.rowsPerColor = cl::Buffer(*context, CL_MEM_READ_WRITE, sizeof(int) * (numColors + 1));
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s.diagIndex = cl::Buffer(*context, CL_MEM_READ_WRITE, sizeof(int) * LUmat->Nb);
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#if CHOW_PATEL
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s.Lvals = cl::Buffer(*context, CL_MEM_READ_WRITE, sizeof(double) * bs * bs * Lmat->nnzbs);
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s.Lcols = cl::Buffer(*context, CL_MEM_READ_WRITE, sizeof(int) * Lmat->nnzbs);
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s.Lrows = cl::Buffer(*context, CL_MEM_READ_WRITE, sizeof(int) * (Lmat->Nb + 1));
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s.Uvals = cl::Buffer(*context, CL_MEM_READ_WRITE, sizeof(double) * bs * bs * Lmat->nnzbs);
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s.Ucols = cl::Buffer(*context, CL_MEM_READ_WRITE, sizeof(int) * Lmat->nnzbs);
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s.Urows = cl::Buffer(*context, CL_MEM_READ_WRITE, sizeof(int) * (Lmat->Nb + 1));
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#else
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s.LUvals = cl::Buffer(*context, CL_MEM_READ_WRITE, sizeof(double) * bs * bs * LUmat->nnzbs);
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s.LUcols = cl::Buffer(*context, CL_MEM_READ_WRITE, sizeof(int) * LUmat->nnzbs);
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s.LUrows = cl::Buffer(*context, CL_MEM_READ_WRITE, sizeof(int) * (LUmat->Nb + 1));
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#endif
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events.resize(2);
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err = queue->enqueueWriteBuffer(s.invDiagVals, CL_FALSE, 0, mat->Nb * sizeof(double) * bs * bs, invDiagVals.data(), nullptr, &events[0]);
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rowsPerColorPrefix.resize(numColors + 1); // resize initializes value 0.0
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for (int i = 0; i < numColors; ++i) {
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rowsPerColorPrefix[i + 1] = rowsPerColorPrefix[i] + rowsPerColor[i];
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}
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err |= queue->enqueueWriteBuffer(s.rowsPerColor, CL_FALSE, 0, (numColors + 1) * sizeof(int), rowsPerColorPrefix.data(), nullptr, &events[1]);
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cl::WaitForEvents(events);
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events.clear();
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if (err != CL_SUCCESS) {
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// enqueueWriteBuffer is C and does not throw exceptions like C++ OpenCL
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OPM_THROW(std::logic_error, "BILU0 OpenCL enqueueWriteBuffer error");
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}
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return true;
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return analyze_matrix(mat, nullptr);
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}
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@ -162,25 +66,29 @@ bool BILU0<block_size>::analyze_matrix(BlockedMatrix *mat, BlockedMatrix *jacMat
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this->nnz = mat->nnzbs * block_size * block_size;
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this->nnzb = mat->nnzbs;
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this->nnz_jm = jacMat->nnzbs * block_size * block_size;
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this->nnzbs_jm = jacMat->nnzbs;
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std::vector<int> CSCRowIndices;
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std::vector<int> CSCColPointers;
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auto *matToDecompose = jacMat ? jacMat : mat; // decompose jacMat if valid, otherwise decompose mat
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if (opencl_ilu_reorder == ILUReorder::NONE) {
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LUmat = std::make_unique<BlockedMatrix>(*mat);
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} else {
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toOrder.resize(Nb);
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fromOrder.resize(Nb);
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CSCRowIndices.resize(nnzbs_jm);
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CSCRowIndices.resize(matToDecompose->nnzbs);
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CSCColPointers.resize(Nb + 1);
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rmat = std::make_shared<BlockedMatrix>(mat->Nb, mat->nnzbs, block_size);
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rJacMat = std::make_shared<BlockedMatrix>(jacMat->Nb, jacMat->nnzbs, block_size);
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LUmat = std::make_unique<BlockedMatrix>(*rJacMat);
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if (jacMat) {
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rJacMat = std::make_shared<BlockedMatrix>(jacMat->Nb, jacMat->nnzbs, block_size);
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LUmat = std::make_unique<BlockedMatrix>(*rJacMat);
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} else {
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LUmat = std::make_unique<BlockedMatrix>(*rmat);
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}
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Timer t_convert;
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csrPatternToCsc(jacMat->colIndices, jacMat->rowPointers, CSCRowIndices.data(), CSCColPointers.data(), jacMat->Nb);
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csrPatternToCsc(matToDecompose->colIndices, matToDecompose->rowPointers, CSCRowIndices.data(), CSCColPointers.data(), Nb);
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if(verbosity >= 3){
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std::ostringstream out;
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out << "BILU0 convert CSR to CSC: " << t_convert.stop() << " s";
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@ -192,10 +100,10 @@ bool BILU0<block_size>::analyze_matrix(BlockedMatrix *mat, BlockedMatrix *jacMat
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std::ostringstream out;
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if (opencl_ilu_reorder == ILUReorder::LEVEL_SCHEDULING) {
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out << "BILU0 reordering strategy: " << "level_scheduling\n";
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findLevelScheduling(jacMat->colIndices, jacMat->rowPointers, CSCRowIndices.data(), CSCColPointers.data(), jacMat->Nb, &numColors, toOrder.data(), fromOrder.data(), rowsPerColor);
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findLevelScheduling(matToDecompose->colIndices, matToDecompose->rowPointers, CSCRowIndices.data(), CSCColPointers.data(), Nb, &numColors, toOrder.data(), fromOrder.data(), rowsPerColor);
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} else if (opencl_ilu_reorder == ILUReorder::GRAPH_COLORING) {
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out << "BILU0 reordering strategy: " << "graph_coloring\n";
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findGraphColoring<block_size>(jacMat->colIndices, jacMat->rowPointers, CSCRowIndices.data(), CSCColPointers.data(), jacMat->Nb, jacMat->Nb, jacMat->Nb, &numColors, toOrder.data(), fromOrder.data(), rowsPerColor);
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findGraphColoring<block_size>(matToDecompose->colIndices, matToDecompose->rowPointers, CSCRowIndices.data(), CSCColPointers.data(), Nb, Nb, Nb, &numColors, toOrder.data(), fromOrder.data(), rowsPerColor);
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} else if (opencl_ilu_reorder == ILUReorder::NONE) {
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out << "BILU0 reordering strategy: none\n";
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// numColors = 1;
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@ -224,8 +132,6 @@ bool BILU0<block_size>::analyze_matrix(BlockedMatrix *mat, BlockedMatrix *jacMat
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Umat = std::make_unique<BlockedMatrix<block_size> >(mat->Nb, (mat->nnzbs - mat->Nb) / 2);
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#endif
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LUmat->nnzValues = new double[jacMat->nnzbs * bs * bs];
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s.invDiagVals = cl::Buffer(*context, CL_MEM_READ_WRITE, sizeof(double) * bs * bs * mat->Nb);
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s.rowsPerColor = cl::Buffer(*context, CL_MEM_READ_WRITE, sizeof(int) * (numColors + 1));
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s.diagIndex = cl::Buffer(*context, CL_MEM_READ_WRITE, sizeof(int) * LUmat->Nb);
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@ -266,95 +172,8 @@ bool BILU0<block_size>::analyze_matrix(BlockedMatrix *mat, BlockedMatrix *jacMat
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template <unsigned int block_size>
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bool BILU0<block_size>::create_preconditioner(BlockedMatrix *mat)
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{
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const unsigned int bs = block_size;
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auto *m = mat;
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if (opencl_ilu_reorder != ILUReorder::NONE) {
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m = rmat.get();
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Timer t_reorder;
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reorderBlockedMatrixByPattern(mat, toOrder.data(), fromOrder.data(), rmat.get());
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if (verbosity >= 3) {
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std::ostringstream out;
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out << "BILU0 reorder matrix: " << t_reorder.stop() << " s";
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OpmLog::info(out.str());
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}
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}
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// TODO: remove this copy by replacing inplace ilu decomp by out-of-place ilu decomp
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// this copy can have mat or rmat ->nnzValues as origin, depending on the reorder strategy
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Timer t_copy;
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memcpy(LUmat->nnzValues, m->nnzValues, sizeof(double) * bs * bs * m->nnzbs);
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if (verbosity >= 3) {
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std::ostringstream out;
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out << "BILU0 memcpy: " << t_copy.stop() << " s";
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OpmLog::info(out.str());
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}
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#if CHOW_PATEL
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chowPatelIlu.decomposition(queue.get(), context.get(),
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LUmat.get(), Lmat.get(), Umat.get(),
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invDiagVals.data(), diagIndex,
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s.diagIndex, s.invDiagVals,
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s.Lvals, s.Lcols, s.Lrows,
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s.Uvals, s.Ucols, s.Urows);
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#else
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Timer t_copyToGpu;
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events.resize(1);
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err = queue->enqueueWriteBuffer(s.LUvals, CL_FALSE, 0, LUmat->nnzbs * bs * bs * sizeof(double), LUmat->nnzValues, nullptr, &events[0]);
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std::call_once(pattern_uploaded, [&]() {
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// find the positions of each diagonal block
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// must be done after reordering
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for (int row = 0; row < Nb; ++row) {
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int rowStart = LUmat->rowPointers[row];
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int rowEnd = LUmat->rowPointers[row + 1];
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auto candidate = std::find(LUmat->colIndices + rowStart, LUmat->colIndices + rowEnd, row);
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assert(candidate != LUmat->colIndices + rowEnd);
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diagIndex[row] = candidate - LUmat->colIndices;
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}
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events.resize(4);
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err |= queue->enqueueWriteBuffer(s.diagIndex, CL_FALSE, 0, Nb * sizeof(int), diagIndex.data(), nullptr, &events[1]);
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err |= queue->enqueueWriteBuffer(s.LUcols, CL_FALSE, 0, LUmat->nnzbs * sizeof(int), LUmat->colIndices, nullptr, &events[2]);
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err |= queue->enqueueWriteBuffer(s.LUrows, CL_FALSE, 0, (LUmat->Nb + 1) * sizeof(int), LUmat->rowPointers, nullptr, &events[3]);
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});
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cl::WaitForEvents(events);
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events.clear();
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if (err != CL_SUCCESS) {
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// enqueueWriteBuffer is C and does not throw exceptions like C++ OpenCL
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OPM_THROW(std::logic_error, "BILU0 OpenCL enqueueWriteBuffer error");
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}
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if (verbosity >= 3) {
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std::ostringstream out;
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out << "BILU0 copy to GPU: " << t_copyToGpu.stop() << " s";
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OpmLog::info(out.str());
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}
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Timer t_decomposition;
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std::ostringstream out;
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cl::Event event;
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for (int color = 0; color < numColors; ++color) {
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const unsigned int firstRow = rowsPerColorPrefix[color];
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const unsigned int lastRow = rowsPerColorPrefix[color + 1];
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if (verbosity >= 4) {
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out << "color " << color << ": " << firstRow << " - " << lastRow << " = " << lastRow - firstRow << "\n";
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}
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OpenclKernels::ILU_decomp(firstRow, lastRow, s.LUvals, s.LUcols, s.LUrows, s.diagIndex, s.invDiagVals, Nb, block_size);
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}
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if (verbosity >= 3) {
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out << "BILU0 decomposition: " << t_decomposition.stop() << " s";
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OpmLog::info(out.str());
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}
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#endif // CHOW_PATEL
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return true;
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} // end create_preconditioner()
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return create_preconditioner(mat, nullptr);
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}
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template <unsigned int block_size>
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@ -362,13 +181,18 @@ bool BILU0<block_size>::create_preconditioner(BlockedMatrix *mat, BlockedMatrix
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{
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const unsigned int bs = block_size;
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auto *jm = jacMat;
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auto *matToDecompose = jacMat;
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if (opencl_ilu_reorder != ILUReorder::NONE) {
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jm = rJacMat.get();
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Timer t_reorder;
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reorderBlockedMatrixByPattern(mat, toOrder.data(), fromOrder.data(), rmat.get());
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reorderBlockedMatrixByPattern(jacMat, toOrder.data(), fromOrder.data(), rJacMat.get());
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if (jacMat) {
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matToDecompose = rJacMat.get();
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reorderBlockedMatrixByPattern(mat, toOrder.data(), fromOrder.data(), rmat.get());
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reorderBlockedMatrixByPattern(jacMat, toOrder.data(), fromOrder.data(), rJacMat.get());
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} else {
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matToDecompose = rmat.get();
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reorderBlockedMatrixByPattern(mat, toOrder.data(), fromOrder.data(), rmat.get());
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}
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if (verbosity >= 3){
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std::ostringstream out;
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@ -380,7 +204,7 @@ bool BILU0<block_size>::create_preconditioner(BlockedMatrix *mat, BlockedMatrix
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// TODO: remove this copy by replacing inplace ilu decomp by out-of-place ilu decomp
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// this copy can have mat or rmat ->nnzValues as origin, depending on the reorder strategy
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Timer t_copy;
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memcpy(LUmat->nnzValues, jm->nnzValues, sizeof(double) * bs * bs * jm->nnzbs);
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memcpy(LUmat->nnzValues, matToDecompose->nnzValues, sizeof(double) * bs * bs * matToDecompose->nnzbs);
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if (verbosity >= 3){
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std::ostringstream out;
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@ -53,8 +53,6 @@ class BILU0 : public Preconditioner<block_size>
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using Base::err;
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private:
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int nnz_jm; // number of nonzeroes of the matrix (scalar)
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int nnzbs_jm; // number of blocks of the matrix
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std::unique_ptr<BlockedMatrix> LUmat = nullptr;
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std::shared_ptr<BlockedMatrix> rmat = nullptr; // only used with PAR_SIM
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std::shared_ptr<BlockedMatrix> rJacMat = nullptr;
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@ -95,11 +93,11 @@ public:
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// analysis, find reordering if specified
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bool analyze_matrix(BlockedMatrix *mat) override;
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bool analyze_matrix(BlockedMatrix *mat, BlockedMatrix *jacMat);
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bool analyze_matrix(BlockedMatrix *mat, BlockedMatrix *jacMat) override;
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// ilu_decomposition
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bool create_preconditioner(BlockedMatrix *mat) override;
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bool create_preconditioner(BlockedMatrix *mat, BlockedMatrix *jacMat);
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bool create_preconditioner(BlockedMatrix *mat, BlockedMatrix *jacMat) override;
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// apply preconditioner, x = prec(y)
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void apply(const cl::Buffer& y, cl::Buffer& x) override;
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@ -125,8 +125,8 @@ public:
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CPR(int verbosity, ILUReorder opencl_ilu_reorder);
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bool analyze_matrix(BlockedMatrix *mat) override;
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bool analyze_matrix(BlockedMatrix *mat, BlockedMatrix *jacMat) override;
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// set own Opencl variables, but also that of the bilu0 preconditioner
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void setOpencl(std::shared_ptr<cl::Context>& context, std::shared_ptr<cl::CommandQueue>& queue) override;
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@ -135,7 +135,6 @@ public:
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void apply(const cl::Buffer& y, cl::Buffer& x) override;
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bool create_preconditioner(BlockedMatrix *mat) override;
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bool create_preconditioner(BlockedMatrix *mat, BlockedMatrix *jacMat) override;
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int* getToOrder() override
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