mirror of
https://github.com/OPM/opm-simulators.git
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155 lines
6.0 KiB
C++
155 lines
6.0 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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#include <opm/simulators/linalg/bda/opencl/openclWellContributions.hpp>
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#include <cstdlib>
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#include <cstring>
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#include <opm/common/OpmLog/OpmLog.hpp>
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#include <opm/common/ErrorMacros.hpp>
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namespace Opm
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{
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using Accelerator::OpenclKernels;
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void WellContributionsOCL::setOpenCLEnv(cl::Context* context_, cl::CommandQueue* queue_) {
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this->context = context_;
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this->queue = queue_;
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}
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void WellContributionsOCL::setKernel(Accelerator::stdwell_apply_kernel_type* kernel_,
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Accelerator::stdwell_apply_no_reorder_kernel_type* kernel_no_reorder_) {
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this->kernel = kernel_;
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this->kernel_no_reorder = kernel_no_reorder_;
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}
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void WellContributionsOCL::setReordering(int* h_toOrder_, bool reorder_)
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{
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this->h_toOrder = h_toOrder_;
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this->reorder = reorder_;
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}
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void WellContributionsOCL::apply_stdwells(cl::Buffer d_x, cl::Buffer d_y, cl::Buffer d_toOrder){
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if (reorder) {
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OpenclKernels::apply_stdwells_reorder(*d_Cnnzs_ocl, *d_Dnnzs_ocl, *d_Bnnzs_ocl, *d_Ccols_ocl, *d_Bcols_ocl,
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d_x, d_y, d_toOrder, dim, dim_wells, *d_val_pointers_ocl, num_std_wells);
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} else {
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OpenclKernels::apply_stdwells_no_reorder(*d_Cnnzs_ocl, *d_Dnnzs_ocl, *d_Bnnzs_ocl, *d_Ccols_ocl, *d_Bcols_ocl,
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d_x, d_y, dim, dim_wells, *d_val_pointers_ocl, num_std_wells);
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}
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}
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void WellContributionsOCL::apply_mswells(cl::Buffer d_x, cl::Buffer d_y){
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if (h_x.empty()) {
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h_x.resize(N);
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h_y.resize(N);
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}
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events.resize(2);
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queue->enqueueReadBuffer(d_x, CL_FALSE, 0, sizeof(double) * N, h_x.data(), nullptr, &events[0]);
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queue->enqueueReadBuffer(d_y, CL_FALSE, 0, sizeof(double) * N, h_y.data(), nullptr, &events[1]);
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cl::WaitForEvents(events);
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events.clear();
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// actually apply MultisegmentWells
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for (auto& well : multisegments) {
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well->setReordering(h_toOrder, reorder);
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well->apply(h_x.data(), h_y.data());
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}
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// copy vector y from CPU to GPU
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events.resize(1);
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queue->enqueueWriteBuffer(d_y, CL_FALSE, 0, sizeof(double) * N, h_y.data(), nullptr, &events[0]);
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events[0].wait();
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events.clear();
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}
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void WellContributionsOCL::apply(cl::Buffer d_x, cl::Buffer d_y, cl::Buffer d_toOrder){
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if(num_std_wells > 0){
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apply_stdwells(d_x, d_y, d_toOrder);
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}
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if(num_ms_wells > 0){
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apply_mswells(d_x, d_y);
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}
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}
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void WellContributionsOCL::APIaddMatrix(MatrixType type,
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int* colIndices,
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double* values,
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unsigned int val_size)
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{
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if (!allocated) {
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OPM_THROW(std::logic_error, "Error cannot add wellcontribution before allocating memory in WellContributions");
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}
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switch (type) {
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case MatrixType::C:
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events.resize(2);
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queue->enqueueWriteBuffer(*d_Cnnzs_ocl, CL_FALSE, sizeof(double) * num_blocks_so_far * dim * dim_wells, sizeof(double) * val_size * dim * dim_wells, values, nullptr, &events[0]);
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queue->enqueueWriteBuffer(*d_Ccols_ocl, CL_FALSE, sizeof(int) * num_blocks_so_far, sizeof(int) * val_size, colIndices, nullptr, &events[1]);
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cl::WaitForEvents(events);
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events.clear();
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break;
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case MatrixType::D:
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events.resize(1);
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queue->enqueueWriteBuffer(*d_Dnnzs_ocl, CL_FALSE, sizeof(double) * num_std_wells_so_far * dim_wells * dim_wells, sizeof(double) * dim_wells * dim_wells, values, nullptr, &events[0]);
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events[0].wait();
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events.clear();
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break;
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case MatrixType::B:
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events.resize(2);
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queue->enqueueWriteBuffer(*d_Bnnzs_ocl, CL_FALSE, sizeof(double) * num_blocks_so_far * dim * dim_wells, sizeof(double) * val_size * dim * dim_wells, values, nullptr, &events[0]);
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queue->enqueueWriteBuffer(*d_Bcols_ocl, CL_FALSE, sizeof(int) * num_blocks_so_far, sizeof(int) * val_size, colIndices, nullptr, &events[1]);
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cl::WaitForEvents(events);
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events.clear();
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val_pointers[num_std_wells_so_far] = num_blocks_so_far;
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if (num_std_wells_so_far == num_std_wells - 1) {
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val_pointers[num_std_wells] = num_blocks;
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events.resize(1);
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queue->enqueueWriteBuffer(*d_val_pointers_ocl, CL_FALSE, 0, sizeof(unsigned int) * (num_std_wells + 1), val_pointers.data(), nullptr, &events[0]);
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events[0].wait();
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events.clear();
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}
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break;
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default:
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OPM_THROW(std::logic_error, "Error unsupported matrix ID for WellContributionsOCL::addMatrix()");
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}
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}
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void WellContributionsOCL::APIalloc()
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{
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d_Cnnzs_ocl = std::make_unique<cl::Buffer>(*context, CL_MEM_READ_WRITE, sizeof(double) * num_blocks * dim * dim_wells);
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d_Dnnzs_ocl = std::make_unique<cl::Buffer>(*context, CL_MEM_READ_WRITE, sizeof(double) * num_std_wells * dim_wells * dim_wells);
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d_Bnnzs_ocl = std::make_unique<cl::Buffer>(*context, CL_MEM_READ_WRITE, sizeof(double) * num_blocks * dim * dim_wells);
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d_Ccols_ocl = std::make_unique<cl::Buffer>(*context, CL_MEM_READ_WRITE, sizeof(int) * num_blocks);
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d_Bcols_ocl = std::make_unique<cl::Buffer>(*context, CL_MEM_READ_WRITE, sizeof(int) * num_blocks);
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d_val_pointers_ocl = std::make_unique<cl::Buffer>(*context, CL_MEM_READ_WRITE, sizeof(unsigned int) * (num_std_wells + 1));
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}
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} //namespace Opm
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