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101 lines
3.5 KiB
Plaintext
101 lines
3.5 KiB
Plaintext
/*
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Copyright 2025 SINTEF AS
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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>
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#define BOOST_TEST_MODULE TestGpuSparseTable
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#include <opm/simulators/linalg/gpuistl/GpuSparseMatrixWrapper.hpp>
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#include <opm/simulators/linalg/gpuistl/GpuVector.hpp>
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#include <opm/simulators/linalg/gpuistl/detail/gpu_safe_call.hpp>
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#include <opm/simulators/linalg/gpuistl/detail/gpusparse_matrix_operations.hpp>
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#include <opm/simulators/linalg/gpuistl/gpu_smart_pointer.hpp>
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#include <opm/simulators/linalg/istlsparsematrixadapter.hh>
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#include <dune/istl/bcrsmatrix.hh>
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#include <boost/mpl/range_c.hpp>
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#include <boost/test/data/monomorphic.hpp>
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#include <boost/test/data/test_case.hpp>
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#include <boost/test/unit_test.hpp>
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#include <opm/grid/utility/SparseTable.hpp>
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#include <cstddef>
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#include <random>
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#include <type_traits>
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__global__ void fetchSparseTableValuesInKernel(Opm::SparseTable<int, Opm::gpuistl::GpuView> tableView,
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std::array<int, 7>* output)
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{
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int idx = blockIdx.x * blockDim.x + threadIdx.x;
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if (idx == 0) {
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int offset = 0;
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for (size_t row = 0; row < 3; ++row) {
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auto rowData = tableView[row];
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for (auto e : rowData) {
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(*output)[offset++] = e;
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}
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}
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(*output)[offset++] = tableView.dataSize();
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}
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}
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BOOST_AUTO_TEST_CASE(TestUsingSparseTableInKernel)
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{
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/*
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Sparse table storting the data
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R0 (idx=0) R1 (idx=3) R2 (idx=4)
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{1,2,3}, {4}, {5,6}
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*/
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Opm::SparseTable<int> cpuTable({1, 2, 3, 4, 5, 6}, {0, 3, 4, 6});
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for (size_t row = 0; row < 3; ++row) {
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if (row == 0) {
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BOOST_CHECK_EQUAL(cpuTable[row].size(), 3);
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BOOST_CHECK_EQUAL(cpuTable[row][0], 1);
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BOOST_CHECK_EQUAL(cpuTable[row][1], 2);
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BOOST_CHECK_EQUAL(cpuTable[row][2], 3);
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} else if (row == 1) {
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BOOST_CHECK_EQUAL(cpuTable[row].size(), 1);
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BOOST_CHECK_EQUAL(cpuTable[row][0], 4);
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} else if (row == 2) {
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BOOST_CHECK_EQUAL(cpuTable[row].size(), 2);
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BOOST_CHECK_EQUAL(cpuTable[row][0], 5);
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BOOST_CHECK_EQUAL(cpuTable[row][1], 6);
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}
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}
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auto gpuBufferTable = Opm::gpuistl::copy_to_gpu<int>(cpuTable);
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auto gpuTableView = Opm::gpuistl::make_view(gpuBufferTable);
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auto valuesFetchedFromGpu = Opm::gpuistl::make_gpu_unique_ptr<std::array<int, 7>>({-1});
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fetchSparseTableValuesInKernel<<<1, 1>>>(gpuTableView, valuesFetchedFromGpu.get());
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auto hostValues = Opm::gpuistl::copyFromGPU<std::array<int, 7>>(valuesFetchedFromGpu);
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BOOST_CHECK_EQUAL(hostValues[0], 1);
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BOOST_CHECK_EQUAL(hostValues[1], 2);
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BOOST_CHECK_EQUAL(hostValues[2], 3);
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BOOST_CHECK_EQUAL(hostValues[3], 4);
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BOOST_CHECK_EQUAL(hostValues[4], 5);
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BOOST_CHECK_EQUAL(hostValues[5], 6);
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BOOST_CHECK_EQUAL(hostValues[6], 6);
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}
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