/* ************************************************************************ * Copyright (C) 2018-2024 Advanced Micro Devices, Inc. All rights Reserved. * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to deal * in the Software without restriction, including without limitation the rights * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell * copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in * all copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN * THE SOFTWARE. * * ************************************************************************ */ #include #include #include using namespace rocalution; int main(int argc, char* argv[]) { // Check command line parameters if(argc == 1) { std::cerr << argv[0] << " [Num threads]" << std::endl; exit(1); } // Initialize rocALUTION init_rocalution(); // Check command line parameters for number of OMP threads if(argc > 2) { set_omp_threads_rocalution(atoi(argv[2])); } // Print rocALUTION info info_rocalution(); // rocALUTION objects LocalVector x; LocalVector rhs; LocalVector e; LocalMatrix mat; // Read matrix from MTX file mat.ReadFileMTX(std::string(argv[1])); // Move objects to accelerator mat.MoveToAccelerator(); x.MoveToAccelerator(); rhs.MoveToAccelerator(); e.MoveToAccelerator(); // Allocate vectors x.Allocate("x", mat.GetN()); rhs.Allocate("rhs", mat.GetM()); e.Allocate("e", mat.GetN()); // Linear Solver FixedPoint, LocalVector, double> fp; // Preconditioner ItILU0, LocalVector, double> p; // Set iterative ILU stopping criteria p.SetTolerance(1e-8); p.SetMaxIter(50); const int option = ItILU0Option::Verbose | ItILU0Option::StoppingCriteria | ItILU0Option::ComputeNrmCorrection | ItILU0Option::ComputeNrmResidual | ItILU0Option::ConvergenceHistory; p.SetOptions(option); p.SetAlgorithm(ItILU0Algorithm::SyncSplit); // Set up iterative triangular solve SolverDescr descr; descr.SetTriSolverAlg(TriSolverAlg_Iterative); descr.SetIterativeSolverMaxIteration(30); descr.SetIterativeSolverTolerance(1e-8); p.SetSolverDescriptor(descr); // Initialize rhs such that A 1 = rhs e.Ones(); mat.Apply(e, &rhs); // Initial zero guess x.Zeros(); // Set solver operator fp.SetOperator(mat); // Set solver preconditioner fp.SetPreconditioner(p); // Build solver fp.Build(); // Verbosity output fp.Verbose(1); // Print matrix info mat.Info(); // Start time measurement double tick, tack; tick = rocalution_time(); // Solve A x = rhs fp.Solve(rhs, &x); // Stop time measurement tack = rocalution_time(); std::cout << "Solver execution:" << (tack - tick) / 1e6 << " sec" << std::endl; int niter_preconditioner; const double* history = p.GetConvergenceHistory(&niter_preconditioner); std::cout << "ItILU0::niter = " << niter_preconditioner << std::endl; if((option & ItILU0Option::ComputeNrmCorrection) > 0) { for(int i = 0; i < niter_preconditioner; ++i) { std::cout << "ItILU0::CorrectionNrm[" << i << "] = " << history[i] << std::endl; } } if((option & ItILU0Option::ComputeNrmResidual) > 0) { for(int i = 0; i < niter_preconditioner; ++i) { std::cout << "ItILU0::ResidualNrm[" << i << "] = " << history[niter_preconditioner + i] << std::endl; } } // Clear solver fp.Clear(); // Compute error L2 norm e.ScaleAdd(-1.0, x); double error = e.Norm(); std::cout << "||e - x||_2 = " << error << std::endl; // Stop rocALUTION platform stop_rocalution(); return 0; }