mirror of
https://github.com/OPM/opm-simulators.git
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613 lines
24 KiB
C++
613 lines
24 KiB
C++
/*
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Copyright 2023 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>
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#include <sstream>
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#include <stdexcept>
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#include <opm/common/OpmLog/OpmLog.hpp>
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#include <opm/common/ErrorMacros.hpp>
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#include <dune/common/timer.hh>
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// WellContributions are included via the solver
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// MultisegmentWellContribution includes the cuda runtime if found by CMake
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// this leads to inclusion of both amd_hip_vector_types.h and vector_types.h
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// which both define vector types like uchar2, short3 and double4.
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// Restore the value (if defined) afterwards.
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#ifdef HAVE_CUDA
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#define HIP_HAVE_CUDA_DEFINED HAVE_CUDA
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#endif
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#undef HAVE_CUDA
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#include <opm/simulators/linalg/bda/rocsparseSolverBackend.hpp>
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#include <opm/simulators/linalg/bda/BdaResult.hpp>
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#include <hip/hip_runtime_api.h>
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#include <hip/hip_version.h>
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#ifdef HIP_HAVE_CUDA_DEFINED
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#define HAVE_CUDA HIP_HAVE_CUDA_DEFINED
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#undef HIP_HAVE_CUDA_DEFINED
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#endif
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#define HIP_CHECK(stat) \
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{ \
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if(stat != hipSuccess) \
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{ \
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OPM_THROW(std::logic_error, "HIP error"); \
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} \
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}
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#define ROCSPARSE_CHECK(stat) \
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{ \
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if(stat != rocsparse_status_success) \
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{ \
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OPM_THROW(std::logic_error, "rocsparse error"); \
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} \
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}
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#define ROCBLAS_CHECK(stat) \
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{ \
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if(stat != rocblas_status_success) \
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{ \
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OPM_THROW(std::logic_error, "rocblas error"); \
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} \
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}
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namespace Opm
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{
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namespace Accelerator
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{
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using Opm::OpmLog;
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using Dune::Timer;
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template <unsigned int block_size>
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rocsparseSolverBackend<block_size>::rocsparseSolverBackend(int verbosity_, int maxit_, double tolerance_, unsigned int platformID_, unsigned int deviceID_) : BdaSolver<block_size>(verbosity_, maxit_, tolerance_, platformID_, deviceID_) {
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hipDevice_t device;
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if(hipDeviceGet(&device, deviceID) != hipSuccess)
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{
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OPM_THROW(std::logic_error, "HIP Error: could not get device");
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}
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ROCSPARSE_CHECK(rocsparse_create_handle(&handle));
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ROCBLAS_CHECK(rocblas_create_handle(&blas_handle));
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ROCSPARSE_CHECK(rocsparse_get_version(handle, &ver));
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ROCSPARSE_CHECK(rocsparse_get_git_rev(handle, rev));
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std::ostringstream out;
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out << "rocSPARSE version: " << ver / 100000 << "." << ver / 100 % 1000 << "."
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<< ver % 100 << "-" << rev << "\n";
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OpmLog::info(out.str());
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HIP_CHECK(hipStreamCreate(&stream));
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ROCSPARSE_CHECK(rocsparse_set_stream(handle, stream));
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ROCBLAS_CHECK(rocblas_set_stream(blas_handle, stream));
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}
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template <unsigned int block_size>
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rocsparseSolverBackend<block_size>::~rocsparseSolverBackend() {
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hipError_t hipstatus = hipStreamSynchronize(stream);
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if(hipstatus != hipSuccess){
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OpmLog::error("Could not synchronize with hipStream");
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}
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hipstatus = hipStreamDestroy(stream);
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if(hipstatus != hipSuccess){
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OpmLog::error("Could not destroy hipStream");
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}
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rocsparse_status status1 = rocsparse_destroy_handle(handle);
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if(status1 != rocsparse_status_success){
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OpmLog::error("Could not destroy rocsparse handle");
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}
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rocblas_status status2 = rocblas_destroy_handle(blas_handle);
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if(status2 != rocblas_status_success){
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OpmLog::error("Could not destroy rocblas handle");
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}
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}
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template <unsigned int block_size>
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void rocsparseSolverBackend<block_size>::gpu_pbicgstab([[maybe_unused]] WellContributions& wellContribs,
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BdaResult& res)
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{
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float it = 0.5;
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double rho, rhop, beta, alpha, nalpha, omega, nomega, tmp1, tmp2;
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double norm, norm_0;
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double zero = 0.0;
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double one = 1.0;
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double mone = -1.0;
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Timer t_total, t_prec(false), t_spmv(false), t_rest(false);
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// HIP_VERSION is defined as (HIP_VERSION_MAJOR * 10000000 + HIP_VERSION_MINOR * 100000 + HIP_VERSION_PATCH)
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#if HIP_VERSION >= 50400000
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ROCSPARSE_CHECK(rocsparse_dbsrmv_ex(handle, dir, operation,
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Nb, Nb, nnzb, &one, descr_M,
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d_Avals, d_Arows, d_Acols, block_size,
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spmv_info, d_x, &zero, d_r));
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#else
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ROCSPARSE_CHECK(rocsparse_dbsrmv(handle, dir, operation,
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Nb, Nb, nnzb, &one, descr_M,
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d_Avals, d_Arows, d_Acols, block_size,
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d_x, &zero, d_r));
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#endif
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ROCBLAS_CHECK(rocblas_dscal(blas_handle, N, &mone, d_r, 1));
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ROCBLAS_CHECK(rocblas_daxpy(blas_handle, N, &one, d_b, 1, d_r, 1));
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ROCBLAS_CHECK(rocblas_dcopy(blas_handle, N, d_r, 1, d_rw, 1));
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ROCBLAS_CHECK(rocblas_dcopy(blas_handle, N, d_r, 1, d_p, 1));
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ROCBLAS_CHECK(rocblas_dnrm2(blas_handle, N, d_r, 1, &norm_0));
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if (verbosity >= 2) {
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std::ostringstream out;
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out << std::scientific << "rocsparseSolver initial norm: " << norm_0;
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OpmLog::info(out.str());
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}
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if (verbosity >= 3) {
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t_rest.start();
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}
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for (it = 0.5; it < maxit; it += 0.5) {
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rhop = rho;
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ROCBLAS_CHECK(rocblas_ddot(blas_handle, N, d_rw, 1, d_r, 1, &rho));
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if (it > 1) {
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beta = (rho / rhop) * (alpha / omega);
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nomega = -omega;
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ROCBLAS_CHECK(rocblas_daxpy(blas_handle, N, &nomega, d_v, 1, d_p, 1));
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ROCBLAS_CHECK(rocblas_dscal(blas_handle, N, &beta, d_p, 1));
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ROCBLAS_CHECK(rocblas_daxpy(blas_handle, N, &one, d_r, 1, d_p, 1));
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}
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if (verbosity >= 3) {
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HIP_CHECK(hipStreamSynchronize(stream));
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t_rest.stop();
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t_prec.start();
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}
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// apply ilu0
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ROCSPARSE_CHECK(rocsparse_dbsrsv_solve(handle, dir, \
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operation, Nb, nnzbs_prec, &one, \
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descr_L, d_Mvals, d_Mrows, d_Mcols, block_size, ilu_info, d_p, d_t, rocsparse_solve_policy_auto, d_buffer));
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ROCSPARSE_CHECK(rocsparse_dbsrsv_solve(handle, dir, \
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operation, Nb, nnzbs_prec, &one, \
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descr_U, d_Mvals, d_Mrows, d_Mcols, block_size, ilu_info, d_t, d_pw, rocsparse_solve_policy_auto, d_buffer));
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if (verbosity >= 3) {
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HIP_CHECK(hipStreamSynchronize(stream));
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t_prec.stop();
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t_spmv.start();
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}
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// spmv
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#if HIP_VERSION >= 50400000
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ROCSPARSE_CHECK(rocsparse_dbsrmv_ex(handle, dir, operation,
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Nb, Nb, nnzb, &one, descr_M,
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d_Avals, d_Arows, d_Acols, block_size,
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spmv_info, d_pw, &zero, d_v));
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#else
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ROCSPARSE_CHECK(rocsparse_dbsrmv(handle, dir, operation,
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Nb, Nb, nnzb, &one, descr_M,
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d_Avals, d_Arows, d_Acols, block_size,
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d_pw, &zero, d_v));
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#endif
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if (verbosity >= 3) {
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HIP_CHECK(hipStreamSynchronize(stream));
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t_spmv.stop();
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t_rest.start();
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}
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// apply wellContributions
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ROCBLAS_CHECK(rocblas_ddot(blas_handle, N, d_rw, 1, d_v, 1, &tmp1));
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alpha = rho / tmp1;
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nalpha = -alpha;
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ROCBLAS_CHECK(rocblas_daxpy(blas_handle, N, &nalpha, d_v, 1, d_r, 1));
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ROCBLAS_CHECK(rocblas_daxpy(blas_handle, N, &alpha, d_pw, 1, d_x, 1));
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ROCBLAS_CHECK(rocblas_dnrm2(blas_handle, N, d_r, 1, &norm));
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if (verbosity >= 3) {
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HIP_CHECK(hipStreamSynchronize(stream));
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t_rest.stop();
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}
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if (norm < tolerance * norm_0) {
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break;
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}
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it += 0.5;
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// apply ilu0
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if (verbosity >= 3) {
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t_prec.start();
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}
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ROCSPARSE_CHECK(rocsparse_dbsrsv_solve(handle, dir, \
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operation, Nb, nnzbs_prec, &one, \
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descr_L, d_Mvals, d_Mrows, d_Mcols, block_size, ilu_info, d_r, d_t, rocsparse_solve_policy_auto, d_buffer));
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ROCSPARSE_CHECK(rocsparse_dbsrsv_solve(handle, dir, \
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operation, Nb, nnzbs_prec, &one, \
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descr_U, d_Mvals, d_Mrows, d_Mcols, block_size, ilu_info, d_t, d_s, rocsparse_solve_policy_auto, d_buffer));
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if (verbosity >= 3) {
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HIP_CHECK(hipStreamSynchronize(stream));
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t_prec.stop();
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t_spmv.start();
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}
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// spmv
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#if HIP_VERSION >= 50400000
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ROCSPARSE_CHECK(rocsparse_dbsrmv_ex(handle, dir, operation,
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Nb, Nb, nnzb, &one, descr_M,
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d_Avals, d_Arows, d_Acols, block_size,
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spmv_info, d_s, &zero, d_t));
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#else
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ROCSPARSE_CHECK(rocsparse_dbsrmv(handle, dir, operation,
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Nb, Nb, nnzb, &one, descr_M,
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d_Avals, d_Arows, d_Acols, block_size,
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d_s, &zero, d_t));
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#endif
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if(verbosity >= 3){
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HIP_CHECK(hipStreamSynchronize(stream));
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t_spmv.stop();
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t_rest.start();
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}
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// apply wellContributions
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ROCBLAS_CHECK(rocblas_ddot(blas_handle, N, d_t, 1, d_r, 1, &tmp1));
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ROCBLAS_CHECK(rocblas_ddot(blas_handle, N, d_t, 1, d_t, 1, &tmp2));
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omega = tmp1 / tmp2;
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nomega = -omega;
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ROCBLAS_CHECK(rocblas_daxpy(blas_handle, N, &omega, d_s, 1, d_x, 1));
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ROCBLAS_CHECK(rocblas_daxpy(blas_handle, N, &nomega, d_t, 1, d_r, 1));
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ROCBLAS_CHECK(rocblas_dnrm2(blas_handle, N, d_r, 1, &norm));
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if (verbosity >= 3) {
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HIP_CHECK(hipStreamSynchronize(stream));
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t_rest.stop();
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}
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if (norm < tolerance * norm_0) {
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break;
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}
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if (verbosity > 1) {
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std::ostringstream out;
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out << "it: " << it << std::scientific << ", norm: " << norm;
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OpmLog::info(out.str());
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}
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}
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res.iterations = std::min(it, (float)maxit);
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res.reduction = norm / norm_0;
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res.conv_rate = static_cast<double>(pow(res.reduction, 1.0 / it));
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res.elapsed = t_total.stop();
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res.converged = (it != (maxit + 0.5));
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if (verbosity >= 1) {
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std::ostringstream out;
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out << "=== converged: " << res.converged << ", conv_rate: " << res.conv_rate << ", time: " << res.elapsed << \
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", time per iteration: " << res.elapsed / it << ", iterations: " << it;
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OpmLog::info(out.str());
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}
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if (verbosity >= 3) {
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std::ostringstream out;
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out << "rocsparseSolver::prec_apply: " << t_prec.elapsed() << " s\n";
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out << "rocsparseSolver::spmv: " << t_spmv.elapsed() << " s\n";
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out << "rocsparseSolver::rest: " << t_rest.elapsed() << " s\n";
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out << "rocsparseSolver::total_solve: " << res.elapsed << " s\n";
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OpmLog::info(out.str());
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}
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}
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template <unsigned int block_size>
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void rocsparseSolverBackend<block_size>::initialize(std::shared_ptr<BlockedMatrix> matrix, std::shared_ptr<BlockedMatrix> jacMatrix) {
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this->Nb = matrix->Nb;
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this->N = Nb * block_size;
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this->nnzb = matrix->nnzbs;
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this->nnz = nnzb * block_size * block_size;
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nnzbs_prec = nnzb;
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if (jacMatrix) {
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useJacMatrix = true;
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nnzbs_prec = jacMatrix->nnzbs;
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}
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std::ostringstream out;
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out << "Initializing GPU, matrix size: " << Nb << " blockrows, nnzb: " << nnzb << "\n";
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if (useJacMatrix) {
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out << "Blocks in ILU matrix: " << jacMatrix->nnzbs << "\n";
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}
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out << "Maxit: " << maxit << std::scientific << ", tolerance: " << tolerance << "\n";
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out << "PlatformID: " << platformID << ", deviceID: " << deviceID << "\n";
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OpmLog::info(out.str());
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out.str("");
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out.clear();
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mat = matrix;
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jacMat = jacMatrix;
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HIP_CHECK(hipMalloc((void**)&d_r, sizeof(double) * N));
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HIP_CHECK(hipMalloc((void**)&d_rw, sizeof(double) * N));
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HIP_CHECK(hipMalloc((void**)&d_p, sizeof(double) * N));
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HIP_CHECK(hipMalloc((void**)&d_pw, sizeof(double) * N));
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HIP_CHECK(hipMalloc((void**)&d_s, sizeof(double) * N));
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HIP_CHECK(hipMalloc((void**)&d_t, sizeof(double) * N));
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HIP_CHECK(hipMalloc((void**)&d_v, sizeof(double) * N));
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HIP_CHECK(hipMalloc((void**)&d_Arows, sizeof(rocsparse_int) * (Nb + 1)));
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HIP_CHECK(hipMalloc((void**)&d_Acols, sizeof(rocsparse_int) * nnzb));
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HIP_CHECK(hipMalloc((void**)&d_Avals, sizeof(double) * nnz));
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HIP_CHECK(hipMalloc((void**)&d_x, sizeof(double) * N));
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HIP_CHECK(hipMalloc((void**)&d_b, sizeof(double) * N));
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if (useJacMatrix) {
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HIP_CHECK(hipMalloc((void**)&d_Mrows, sizeof(rocsparse_int) * (Nb + 1)));
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HIP_CHECK(hipMalloc((void**)&d_Mcols, sizeof(rocsparse_int) * nnzbs_prec));
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HIP_CHECK(hipMalloc((void**)&d_Mvals, sizeof(double) * nnzbs_prec * block_size * block_size));
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} else { // preconditioner matrix is same
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HIP_CHECK(hipMalloc((void**)&d_Mvals, sizeof(double) * nnzbs_prec * block_size * block_size));
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d_Mcols = d_Acols;
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d_Mrows = d_Arows;
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}
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initialized = true;
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} // end initialize()
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template <unsigned int block_size>
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void rocsparseSolverBackend<block_size>::copy_system_to_gpu(double *b) {
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Timer t;
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HIP_CHECK(hipMemcpyAsync(d_Arows, mat->rowPointers, sizeof(rocsparse_int) * (Nb + 1), hipMemcpyHostToDevice, stream));
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HIP_CHECK(hipMemcpyAsync(d_Acols, mat->colIndices, sizeof(rocsparse_int) * nnzb, hipMemcpyHostToDevice, stream));
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HIP_CHECK(hipMemcpyAsync(d_Avals, mat->nnzValues, sizeof(double) * nnz, hipMemcpyHostToDevice, stream));
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if (useJacMatrix) {
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HIP_CHECK(hipMemcpyAsync(d_Mrows, jacMat->rowPointers, sizeof(rocsparse_int) * (Nb + 1), hipMemcpyHostToDevice, stream));
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HIP_CHECK(hipMemcpyAsync(d_Mcols, jacMat->colIndices, sizeof(rocsparse_int) * nnzbs_prec, hipMemcpyHostToDevice, stream));
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HIP_CHECK(hipMemcpyAsync(d_Mvals, jacMat->nnzValues, sizeof(double) * nnzbs_prec * block_size * block_size, hipMemcpyHostToDevice, stream));
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} else {
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HIP_CHECK(hipMemcpyAsync(d_Mvals, d_Avals, sizeof(double) * nnz, hipMemcpyDeviceToDevice, stream));
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}
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HIP_CHECK(hipMemsetAsync(d_x, 0, sizeof(double) * N, stream));
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HIP_CHECK(hipMemcpyAsync(d_b, b, sizeof(double) * N, hipMemcpyHostToDevice, stream));
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if (verbosity >= 3) {
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HIP_CHECK(hipStreamSynchronize(stream));
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std::ostringstream out;
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out << "rocsparseSolver::copy_system_to_gpu(): " << t.stop() << " s";
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OpmLog::info(out.str());
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}
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} // end copy_system_to_gpu()
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// don't copy rowpointers and colindices, they stay the same
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template <unsigned int block_size>
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void rocsparseSolverBackend<block_size>::update_system_on_gpu(double *b) {
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Timer t;
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HIP_CHECK(hipMemcpyAsync(d_Avals, mat->nnzValues, sizeof(double) * nnz, hipMemcpyHostToDevice, stream));
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if (useJacMatrix) {
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HIP_CHECK(hipMemcpyAsync(d_Mvals, jacMat->nnzValues, sizeof(double) * nnzbs_prec * block_size * block_size, hipMemcpyHostToDevice, stream));
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} else {
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HIP_CHECK(hipMemcpyAsync(d_Mvals, d_Avals, sizeof(double) * nnz, hipMemcpyDeviceToDevice, stream));
|
|
}
|
|
HIP_CHECK(hipMemsetAsync(d_x, 0, sizeof(double) * N, stream));
|
|
HIP_CHECK(hipMemcpyAsync(d_b, b, sizeof(double) * N, hipMemcpyHostToDevice, stream));
|
|
|
|
if (verbosity >= 3) {
|
|
HIP_CHECK(hipStreamSynchronize(stream));
|
|
std::ostringstream out;
|
|
out << "rocsparseSolver::update_system_on_gpu(): " << t.stop() << " s";
|
|
OpmLog::info(out.str());
|
|
}
|
|
} // end update_system_on_gpu()
|
|
|
|
template <unsigned int block_size>
|
|
bool rocsparseSolverBackend<block_size>::analyze_matrix() {
|
|
size_t d_bufferSize_M, d_bufferSize_L, d_bufferSize_U, d_bufferSize;
|
|
Timer t;
|
|
|
|
ROCSPARSE_CHECK(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));
|
|
|
|
ROCSPARSE_CHECK(rocsparse_create_mat_info(&ilu_info));
|
|
#if HIP_VERSION >= 50400000
|
|
ROCSPARSE_CHECK(rocsparse_create_mat_info(&spmv_info));
|
|
#endif
|
|
|
|
ROCSPARSE_CHECK(rocsparse_create_mat_descr(&descr_A));
|
|
ROCSPARSE_CHECK(rocsparse_create_mat_descr(&descr_M));
|
|
|
|
ROCSPARSE_CHECK(rocsparse_create_mat_descr(&descr_L));
|
|
ROCSPARSE_CHECK(rocsparse_set_mat_fill_mode(descr_L, rocsparse_fill_mode_lower));
|
|
ROCSPARSE_CHECK(rocsparse_set_mat_diag_type(descr_L, rocsparse_diag_type_unit));
|
|
|
|
ROCSPARSE_CHECK(rocsparse_create_mat_descr(&descr_U));
|
|
ROCSPARSE_CHECK(rocsparse_set_mat_fill_mode(descr_U, rocsparse_fill_mode_upper));
|
|
ROCSPARSE_CHECK(rocsparse_set_mat_diag_type(descr_U, rocsparse_diag_type_non_unit));
|
|
|
|
ROCSPARSE_CHECK(rocsparse_dbsrilu0_buffer_size(handle, dir, Nb, nnzbs_prec,
|
|
descr_M, d_Mvals, d_Mrows, d_Mcols, block_size, ilu_info, &d_bufferSize_M));
|
|
ROCSPARSE_CHECK(rocsparse_dbsrsv_buffer_size(handle, dir, operation, Nb, nnzbs_prec,
|
|
descr_L, d_Mvals, d_Mrows, d_Mcols, block_size, ilu_info, &d_bufferSize_L));
|
|
ROCSPARSE_CHECK(rocsparse_dbsrsv_buffer_size(handle, dir, operation, Nb, nnzbs_prec,
|
|
descr_U, d_Mvals, d_Mrows, d_Mcols, block_size, ilu_info, &d_bufferSize_U));
|
|
|
|
d_bufferSize = std::max(d_bufferSize_M, std::max(d_bufferSize_L, d_bufferSize_U));
|
|
|
|
HIP_CHECK(hipMalloc((void**)&d_buffer, d_bufferSize));
|
|
|
|
// analysis of ilu LU decomposition
|
|
ROCSPARSE_CHECK(rocsparse_dbsrilu0_analysis(handle, dir, \
|
|
Nb, nnzbs_prec, descr_M, d_Mvals, d_Mrows, d_Mcols, \
|
|
block_size, ilu_info, rocsparse_analysis_policy_reuse, rocsparse_solve_policy_auto, d_buffer));
|
|
|
|
int zero_position = 0;
|
|
rocsparse_status status = rocsparse_bsrilu0_zero_pivot(handle, ilu_info, &zero_position);
|
|
if (rocsparse_status_success != status) {
|
|
printf("L has structural and/or numerical zero at L(%d,%d)\n", zero_position, zero_position);
|
|
return false;
|
|
}
|
|
|
|
// analysis of ilu apply
|
|
ROCSPARSE_CHECK(rocsparse_dbsrsv_analysis(handle, dir, operation, \
|
|
Nb, nnzbs_prec, descr_L, d_Mvals, d_Mrows, d_Mcols, \
|
|
block_size, ilu_info, rocsparse_analysis_policy_reuse, rocsparse_solve_policy_auto, d_buffer));
|
|
ROCSPARSE_CHECK(rocsparse_dbsrsv_analysis(handle, dir, operation, \
|
|
Nb, nnzbs_prec, descr_U, d_Mvals, d_Mrows, d_Mcols, \
|
|
block_size, ilu_info, rocsparse_analysis_policy_reuse, rocsparse_solve_policy_auto, d_buffer));
|
|
|
|
#if HIP_VERSION >= 50400000
|
|
ROCSPARSE_CHECK(rocsparse_dbsrmv_ex_analysis(handle, dir, operation,
|
|
Nb, Nb, nnzb,
|
|
descr_A, d_Avals, d_Arows, d_Acols,
|
|
block_size, spmv_info));
|
|
#endif
|
|
|
|
if (verbosity >= 3) {
|
|
HIP_CHECK(hipStreamSynchronize(stream));
|
|
std::ostringstream out;
|
|
out << "rocsparseSolver::analyze_matrix(): " << t.stop() << " s";
|
|
OpmLog::info(out.str());
|
|
}
|
|
|
|
analysis_done = true;
|
|
|
|
return true;
|
|
} // end analyze_matrix()
|
|
|
|
|
|
template <unsigned int block_size>
|
|
bool rocsparseSolverBackend<block_size>::create_preconditioner() {
|
|
Timer t;
|
|
|
|
bool result = true;
|
|
ROCSPARSE_CHECK(rocsparse_dbsrilu0(handle, dir, Nb, nnzbs_prec, descr_M,
|
|
d_Mvals, d_Mrows, d_Mcols, block_size, ilu_info, rocsparse_solve_policy_auto, d_buffer));
|
|
|
|
// Check for zero pivot
|
|
int zero_position = 0;
|
|
rocsparse_status status = rocsparse_bsrilu0_zero_pivot(handle, ilu_info, &zero_position);
|
|
if(rocsparse_status_success != status)
|
|
{
|
|
printf("L has structural and/or numerical zero at L(%d,%d)\n", zero_position, zero_position);
|
|
return false;
|
|
}
|
|
|
|
if (verbosity >= 3) {
|
|
HIP_CHECK(hipStreamSynchronize(stream));
|
|
std::ostringstream out;
|
|
out << "rocsparseSolver::create_preconditioner(): " << t.stop() << " s";
|
|
OpmLog::info(out.str());
|
|
}
|
|
return result;
|
|
} // end create_preconditioner()
|
|
|
|
|
|
template <unsigned int block_size>
|
|
void rocsparseSolverBackend<block_size>::solve_system(WellContributions &wellContribs, BdaResult &res) {
|
|
Timer t;
|
|
|
|
// actually solve
|
|
try {
|
|
gpu_pbicgstab(wellContribs, res);
|
|
} catch (const cl::Error& error) {
|
|
std::ostringstream oss;
|
|
oss << "rocsparseSolverBackend::solve_system error: " << error.what() << "(" << error.err() << ")\n";
|
|
oss << getErrorString(error.err());
|
|
// rethrow exception
|
|
OPM_THROW(std::logic_error, oss.str());
|
|
} catch (const std::logic_error& error) {
|
|
// rethrow exception by OPM_THROW in the try{}, without this, a segfault occurs
|
|
throw error;
|
|
}
|
|
|
|
if (verbosity >= 3) {
|
|
HIP_CHECK(hipStreamSynchronize(stream));
|
|
std::ostringstream out;
|
|
out << "rocsparseSolver::solve_system(): " << t.stop() << " s";
|
|
OpmLog::info(out.str());
|
|
}
|
|
|
|
} // end solve_system()
|
|
|
|
|
|
// copy result to host memory
|
|
// caller must be sure that x is a valid array
|
|
template <unsigned int block_size>
|
|
void rocsparseSolverBackend<block_size>::get_result(double *x) {
|
|
Timer t;
|
|
|
|
HIP_CHECK(hipMemcpyAsync(x, d_x, sizeof(double) * N, hipMemcpyDeviceToHost, stream));
|
|
HIP_CHECK(hipStreamSynchronize(stream)); // always wait, caller might want to use x immediately
|
|
|
|
if (verbosity >= 3) {
|
|
std::ostringstream out;
|
|
out << "rocsparseSolver::get_result(): " << t.stop() << " s";
|
|
OpmLog::info(out.str());
|
|
}
|
|
} // end get_result()
|
|
|
|
|
|
template <unsigned int block_size>
|
|
SolverStatus rocsparseSolverBackend<block_size>::solve_system(std::shared_ptr<BlockedMatrix> matrix,
|
|
double *b,
|
|
std::shared_ptr<BlockedMatrix> jacMatrix,
|
|
WellContributions& wellContribs,
|
|
BdaResult &res)
|
|
{
|
|
if (initialized == false) {
|
|
initialize(matrix, jacMatrix);
|
|
copy_system_to_gpu(b);
|
|
if (analysis_done == false) {
|
|
if (!analyze_matrix()) {
|
|
return SolverStatus::BDA_SOLVER_ANALYSIS_FAILED;
|
|
}
|
|
}
|
|
if (!create_preconditioner()) {
|
|
return SolverStatus::BDA_SOLVER_CREATE_PRECONDITIONER_FAILED;
|
|
}
|
|
} else {
|
|
update_system_on_gpu(b);
|
|
if (!create_preconditioner()) {
|
|
return SolverStatus::BDA_SOLVER_CREATE_PRECONDITIONER_FAILED;
|
|
}
|
|
}
|
|
solve_system(wellContribs, res);
|
|
|
|
return SolverStatus::BDA_SOLVER_SUCCESS;
|
|
}
|
|
|
|
|
|
#define INSTANTIATE_BDA_FUNCTIONS(n) \
|
|
template rocsparseSolverBackend<n>::rocsparseSolverBackend( \
|
|
int, int, double, unsigned int, unsigned int);
|
|
|
|
INSTANTIATE_BDA_FUNCTIONS(1);
|
|
INSTANTIATE_BDA_FUNCTIONS(2);
|
|
INSTANTIATE_BDA_FUNCTIONS(3);
|
|
INSTANTIATE_BDA_FUNCTIONS(4);
|
|
INSTANTIATE_BDA_FUNCTIONS(5);
|
|
INSTANTIATE_BDA_FUNCTIONS(6);
|
|
|
|
#undef INSTANTIATE_BDA_FUNCTIONS
|
|
|
|
} // namespace Accelerator
|
|
} // namespace Opm
|