CPR.cc

// -*- tab-width: 2; indent-tabs-mode: nil; coding: utf-8-with-signature -*-
//-----------------------------------------------------------------------------
// Copyright 2000-2026 CEA (www.cea.fr) IFPEN (www.ifpenergiesnouvelles.com)
// See the top-level COPYRIGHT file for details.
// SPDX-License-Identifier: Apache-2.0
//-----------------------------------------------------------------------------
/*---------------------------------------------------------------------------*/
/*---------------------------------------------------------------------------*/
/*
 * Ce fichier est basé sur le travail effectué sur la bibliothèque AMGCL (version mars 2026)
 * qui peut être trouvé à https://github.com/ddemidov/amgcl.
 *
 * Copyright (c) 2012-2022 Denis Demidov <dennis.demidov@gmail.com>
 * SPDX-License-Identifier: MIT
 */
/*---------------------------------------------------------------------------*/
/*---------------------------------------------------------------------------*/
 
#include <iostream>
#include <string>
 
#include <boost/preprocessor/seq/for_each.hpp>
 
#include "arccore/alina/BuiltinBackend.h"
#include "arccore/alina/StaticMatrix.h"
#include "arccore/alina/PreconditionedSolver.h"
#include "arccore/alina/AMG.h"
#include "arccore/alina/SolverRuntime.h"
#include "arccore/alina/CoarseningRuntime.h"
#include "arccore/alina/RelaxationRuntime.h"
#include "arccore/alina/Relaxation.h"
#include "arccore/alina/CPRPreconditioner.h"
#include "arccore/alina/Adapters.h"
#include "arccore/alina/IO.h"
#include "arccore/alina/Profiler.h"
 
#include "arccore/common/internal/ProgramOptions.h"
 
using namespace Arcane;
 
using Alina::precondition;
 
//---------------------------------------------------------------------------
template <class Matrix>
void solve_cpr(const Alina::AlinaContext& context, const Matrix& K, const std::vector<double>& rhs, Alina::PropertyTree& prm)
{
  auto& prof = Alina::Profiler::globalProfiler();
 
  auto t1 = prof.scoped_tic("CPR");
 
  using Backend = Alina::BuiltinBackend<double>;
  using PPrecond = Alina::AMG<Backend, Alina::CoarseningRuntime, Alina::RelaxationRuntime>;
  using SPrecond = Alina::RelaxationAsPreconditioner<Backend, Alina::RelaxationRuntime>;
 
  prof.tic("setup");
  Alina::PreconditionedSolver<Alina::preconditioner::CPRPreconditioner<PPrecond, SPrecond>,
                              Alina::SolverRuntime<Backend>>
  solve(context, K, prm);
  prof.toc("setup");
 
  std::cout << solve.precond() << std::endl;
 
  std::vector<double> x(rhs.size(), 0.0);
 
  prof.tic("setup");
  Alina::SolverResult r = solve(rhs, x);
  prof.toc("setup");
 
  std::cout << "Iterations: " << r.nbIteration() << std::endl
            << "Error:      " << r.residual() << std::endl;
}
 
//---------------------------------------------------------------------------
template <int B, class Matrix>
void solve_block_cpr(const Alina::AlinaContext& context, const Matrix& K, const std::vector<double>& rhs, Alina::PropertyTree& prm)
{
  auto& prof = Alina::Profiler::globalProfiler();
  auto t1 = prof.scoped_tic("CPR");
 
  typedef Alina::StaticMatrix<double, B, B> val_type;
  typedef Alina::StaticMatrix<double, B, 1> rhs_type;
  typedef Alina::BuiltinBackend<val_type> SBackend;
  typedef Alina::BuiltinBackend<double> PBackend;
 
  using PPrecond = Alina::AMG<PBackend, Alina::CoarseningRuntime, Alina::RelaxationRuntime>;
  using SPrecond = Alina::RelaxationAsPreconditioner<SBackend, Alina::RelaxationRuntime>;
 
  prof.tic("setup");
  Alina::PreconditionedSolver<
  Alina::preconditioner::CPRPreconditioner<PPrecond, SPrecond>,
  Alina::SolverRuntime<SBackend>>
  solve(context, Alina::adapter::block_matrix<val_type>(K), prm);
  prof.toc("setup");
 
  std::cout << solve.precond() << std::endl;
 
  std::vector<rhs_type> x(rhs.size(), Alina::math::zero<rhs_type>());
 
  auto rhs_ptr = reinterpret_cast<const rhs_type*>(rhs.data());
  size_t n = Alina::backend::nbRow(K) / B;
 
  prof.tic("solve");
  Alina::SolverResult r = solve(SmallSpan<const rhs_type>(rhs_ptr, n), x);
  prof.toc("solve");
 
  std::cout << "Iterations: " << r.nbIteration() << std::endl
            << "Error:      " << r.residual() << std::endl;
}
 
//---------------------------------------------------------------------------
int main(int argc, char* argv[])
{
  auto& prof = Alina::Profiler::globalProfiler();
  using Alina::precondition;
  using std::string;
  using std::vector;
 
  namespace po = Arcane::ProgramOptions;
  namespace io = Alina::IO;
 
  Alina::AlinaContext context;
 
  po::options_description desc("Options");
 
  desc.add_options()("help,h", "show help")(
  "binary,B",
  po::bool_switch()->default_value(false),
  "When specified, treat input files as binary instead of as MatrixMarket. "
  "It is assumed the files were converted to binary format with mm2bin utility. ")(
  "matrix,A",
  po::value<string>()->required(),
  "The system matrix in MatrixMarket format")(
  "rhs,f",
  po::value<string>(),
  "The right-hand side in MatrixMarket format")(
  "runtime-block-size,b",
  po::value<int>(),
  "The block size of the system matrix set at runtime")(
  "static-block-size,c",
  po::value<int>()->default_value(1),
  "The block size of the system matrix set at compiletime")(
  "params,P",
  po::value<string>(),
  "parameter file in json format")(
  "prm,p",
  po::value<vector<string>>()->multitoken(),
  "Parameters specified as name=value pairs. "
  "May be provided multiple times. Examples:\n"
  "  -p solver.tol=1e-3\n"
  "  -p precond.coarse_enough=300");
 
  po::variables_map vm;
  po::store(po::parse_command_line(argc, argv, desc), vm);
 
  if (vm.count("help")) {
    std::cout << desc << std::endl;
    return 0;
  }
 
  po::notify(vm);
 
  Alina::PropertyTree prm;
  if (vm.count("params"))
    prm.read_json(vm["params"].as<string>());
 
  if (vm.count("prm")) {
    for (const string& v : vm["prm"].as<vector<string>>()) {
      prm.putKeyValue(v);
    }
  }
 
  int cb = vm["static-block-size"].as<int>();
 
  if (vm.count("runtime-block-size"))
    prm.put("precond.block_size", vm["runtime-block-size"].as<int>());
  else
    prm.put("precond.block_size", cb);
 
  size_t rows;
  vector<ptrdiff_t> ptr, col;
  vector<double> val, rhs;
  std::vector<char> pm;
 
  {
    auto t = prof.scoped_tic("reading");
 
    string Afile = vm["matrix"].as<string>();
    bool binary = vm["binary"].as<bool>();
 
    if (binary) {
      io::read_crs(Afile, rows, ptr, col, val);
    }
    else {
      size_t cols;
      std::tie(rows, cols) = io::mm_reader(Afile)(ptr, col, val);
      precondition(rows == cols, "Non-square system matrix");
    }
 
    if (vm.count("rhs")) {
      string bfile = vm["rhs"].as<string>();
 
      size_t n, m;
 
      if (binary) {
        io::read_dense(bfile, n, m, rhs);
      }
      else {
        std::tie(n, m) = io::mm_reader(bfile)(rhs);
      }
 
      precondition(n == rows && m == 1, "The RHS vector has wrong size");
    }
    else {
      rhs.resize(rows, 1.0);
    }
  }
 
#define CALL_BLOCK_SOLVER(z, data, B) \
  case B: \
    solve_block_cpr<B>(context, std::tie(rows, ptr, col, val), rhs, prm); \
    break;
 
  switch (cb) {
  case 1:
    solve_cpr(context, std::tie(rows, ptr, col, val), rhs, prm);
    break;
 
    BOOST_PP_SEQ_FOR_EACH(CALL_BLOCK_SOLVER, ~, ARCCORE_ALINA_BLOCK_SIZES)
 
  default:
    precondition(false, "Unsupported block size");
    break;
  }
 
  std::cout << prof << std::endl;
}