StandardPreconditioners_gpu_mpi.hpp

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/*
  Copyright 2025 Equinor ASA
 
  This file is part of the Open Porous Media project (OPM).
  OPM is free software: you can redistribute it and/or modify
  it under the terms of the GNU General Public License as published by
  the Free Software Foundation, either version 3 of the License, or
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  OPM is distributed in the hope that it will be useful,
  but WITHOUT ANY WARRANTY; without even the implied warranty of
  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
  GNU General Public License for more details.
  You should have received a copy of the GNU General Public License
  along with OPM.  If not, see <http://www.gnu.org/licenses/>.
*/
 
#ifndef OPM_STANDARDPRECONDITIONERS_GPU_MPI_HEADER
#define OPM_STANDARDPRECONDITIONERS_GPU_MPI_HEADER
 
#include <dune/istl/bcrsmatrix.hh>
#include <string>
 
#include <opm/simulators/linalg/PreconditionerFactory.hpp>
#include <opm/simulators/linalg/PropertyTree.hpp>
#include <opm/simulators/linalg/is_gpu_operator.hpp>
 
#if HAVE_CUDA
#include <opm/simulators/linalg/gpuistl/GpuDILU.hpp>
#include <opm/simulators/linalg/gpuistl/GpuSeqILU0.hpp>
#include <opm/simulators/linalg/gpuistl/GpuJac.hpp>
#include <opm/simulators/linalg/gpuistl/OpmGpuILU0.hpp>
#include <opm/simulators/linalg/gpuistl/GpuBlockPreconditioner.hpp>
#include <opm/simulators/linalg/gpuistl/detail/gpu_preconditioner_utils.hpp>
#endif
 
namespace Opm {
 
template <class Operator, class Comm>
struct StandardPreconditioners<Operator, Comm, typename std::enable_if_t<Opm::is_gpu_operator_v<Operator>>>
{
    using O = Operator;
    using C = Comm;
    using F = PreconditionerFactory<O, C>;
    using M = typename F::Matrix;
    using V = typename F::Vector;
    using P = PropertyTree;
    using PrecPtr = typename F::PrecPtr;
 
    using field_type = typename V::field_type;
 
    static constexpr int maxblocksize = 6;
 
    static void add()
    {
#if HAVE_CUDA
        F::addCreator("ilu0", [](const O& op, const P& prm, const std::function<V()>&, std::size_t, const C& comm) {
            const double w = prm.get<double>("relaxation", 1.0);
            using GpuILU0 = typename gpuistl::GpuSeqILU0<M, V, V>;
            auto gpuPrec = std::make_shared<GpuILU0>(op.getmat(), w);
            return std::make_shared<gpuistl::GpuBlockPreconditioner<V, V, C>>(gpuPrec, comm);
        });
 
        F::addCreator("jac", [](const O& op, const P& prm, const std::function<V()>&, std::size_t, const C& comm) {
            const double w = prm.get<double>("relaxation", 1.0);
            using GpuJac = typename gpuistl::GpuJac<M, V, V>;
            auto gpuPrec = std::make_shared<GpuJac>(op.getmat(), w);
            return std::make_shared<gpuistl::GpuBlockPreconditioner<V, V, C>>(gpuPrec, comm);
        });
 
        F::addCreator("dilu", [](const O& op, [[maybe_unused]] const P& prm, const std::function<V()>&, std::size_t, const C& comm) -> PrecPtr {
            return op.getmat().dispatchOnBlocksize([&](auto blockSizeVal) -> PrecPtr {
                constexpr int blockSize = decltype(blockSizeVal)::value;
                const auto cpuMatrix = gpuistl::detail::makeCPUMatrix<O, Dune::FieldMatrix<field_type, blockSize, blockSize>>(op);
                const bool split_matrix = prm.get<bool>("split_matrix", true);
                const bool tune_gpu_kernels = prm.get<bool>("tune_gpu_kernels", true);
                const int mixed_precision_scheme = prm.get<int>("mixed_precision_scheme", 0);
                const bool reorder = prm.get<bool>("reorder", true);
                using CPUMatrixType = std::remove_const_t<std::remove_reference_t<decltype(cpuMatrix)>>;
                using GPUDILU = typename gpuistl::GpuDILU<CPUMatrixType, V, V>;
                auto gpuPrec = std::make_shared<GPUDILU>(op.getmat(), cpuMatrix, split_matrix, tune_gpu_kernels, mixed_precision_scheme, reorder);
                return std::make_shared<gpuistl::GpuBlockPreconditioner<V, V, C>>(gpuPrec, comm);
            });
        });
 
        F::addCreator("opmilu0", [](const O& op, [[maybe_unused]] const P& prm, const std::function<V()>&, std::size_t, const C& comm) -> PrecPtr {
            return op.getmat().dispatchOnBlocksize([&](auto blockSizeVal) -> PrecPtr {
                constexpr int blockSize = decltype(blockSizeVal)::value;
                const auto cpuMatrix = gpuistl::detail::makeCPUMatrix<O, Dune::FieldMatrix<field_type, blockSize, blockSize>>(op);
                const bool split_matrix = prm.get<bool>("split_matrix", true);
                const bool tune_gpu_kernels = prm.get<bool>("tune_gpu_kernels", true);
                const int mixed_precision_scheme = prm.get<int>("mixed_precision_scheme", 0);
                using CPUMatrixType = std::remove_const_t<std::remove_reference_t<decltype(cpuMatrix)>>;
                using GPUILU0 = typename gpuistl::OpmGpuILU0<CPUMatrixType, V, V>;
                auto gpuPrec = std::make_shared<GPUILU0>(op.getmat(), cpuMatrix, split_matrix, tune_gpu_kernels, mixed_precision_scheme);
                return std::make_shared<gpuistl::GpuBlockPreconditioner<V, V, C>>(gpuPrec, comm);
            });
        });
#endif // HAVE_CUDA
    }
 
};
 
 
}// namespace Opm
 
 
#endif // OPM_STANDARDPRECONDITIONERS_GPU_MPI_HEADER