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#include <iostream>
#include <vector>
#include <string>
#include <utility>
#include <numeric>
#include <boost/program_options.hpp>
#include <boost/property_tree/ptree.hpp>
#include <boost/property_tree/json_parser.hpp>
#include <boost/range/iterator_range.hpp>
#include <boost/scope_exit.hpp>
#include <amgcl/backend/builtin.hpp>
#include <amgcl/preconditioner/runtime.hpp>
#include <amgcl/adapter/crs_tuple.hpp>
#include <amgcl/mpi/make_solver.hpp>
#include <amgcl/mpi/solver/runtime.hpp>
#include <amgcl/mpi/block_preconditioner.hpp>
#include <amgcl/profiler.hpp>
#include "domain_partition.hpp"
namespace amgcl { profiler<> prof; }
using amgcl::prof;
using amgcl::precondition;
//---------------------------------------------------------------------------
struct renumbering {
const domain_partition<2> ∂
const std::vector<ptrdiff_t> &dom;
renumbering(
const domain_partition<2> &p,
const std::vector<ptrdiff_t> &d
) : part(p), dom(d)
{}
ptrdiff_t operator()(ptrdiff_t i, ptrdiff_t j) const {
boost::array<ptrdiff_t, 2> p = {{i, j}};
std::pair<int,ptrdiff_t> v = part.index(p);
return dom[v.first] + v.second;
}
};
//---------------------------------------------------------------------------
template <template <class> class Precond, class Matrix>
std::tuple<size_t, double> solve(
const amgcl::mpi::communicator &comm,
const boost::property_tree::ptree &prm,
const Matrix &A
)
{
typedef amgcl::backend::builtin<double> Backend;
typedef amgcl::mpi::make_solver<
amgcl::mpi::block_preconditioner< Precond<Backend> >,
amgcl::runtime::mpi::solver::wrapper<Backend>
> Solver;
const size_t n = amgcl::backend::rows(A);
std::vector<double> rhs(n, 1), x(n, 0);
prof.tic("setup");
Solver solve(comm, A, prm);
prof.toc("setup");
{
auto t2 = prof.scoped_tic("solve");
return solve(rhs, x);
}
}
//---------------------------------------------------------------------------
int main(int argc, char *argv[]) {
namespace po = boost::program_options;
using amgcl::prof;
using std::vector;
using std::string;
po::options_description desc("Options");
desc.add_options()
("help,h", "Show this help.")
("prm-file,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"
)
(
"size,n",
po::value<int>()->default_value(1024),
"The size of the Poisson problem to solve. "
"Specified as number of grid nodes along each dimension of a unit square. "
"The resulting system will have n*n unknowns. "
)
(
"single-level,1",
po::bool_switch()->default_value(false),
"When specified, the AMG hierarchy is not constructed. "
"Instead, the problem is solved using a single-level smoother as preconditioner. "
)
(
"initial,x",
po::value<double>()->default_value(0),
"Value to use as initial approximation. "
)
;
po::variables_map vm;
po::store(po::parse_command_line(argc, argv, desc), vm);
po::notify(vm);
if (vm.count("help")) {
std::cout << desc << std::endl;
return 0;
}
boost::property_tree::ptree prm;
if (vm.count("prm-file")) {
read_json(vm["prm-file"].as<string>(), prm);
}
if (vm.count("prm")) {
for(const string &v : vm["prm"].as<vector<string> >()) {
amgcl::put(prm, v);
}
}
MPI_Init(&argc, &argv);
BOOST_SCOPE_EXIT(void) {
MPI_Finalize();
} BOOST_SCOPE_EXIT_END
amgcl::mpi::communicator world(MPI_COMM_WORLD);
if (world.rank == 0)
std::cout << "World size: " << world.size << std::endl;
const ptrdiff_t n = vm["size"].as<int>();
const double h2i = (n - 1) * (n - 1);
boost::array<ptrdiff_t, 2> lo = { {0, 0} };
boost::array<ptrdiff_t, 2> hi = { {n - 1, n - 1} };
prof.tic("partition");
domain_partition<2> part(lo, hi, world.size);
ptrdiff_t chunk = part.size( world.rank );
std::vector<ptrdiff_t> domain(world.size + 1);
MPI_Allgather(
&chunk, 1, amgcl::mpi::datatype<ptrdiff_t>(),
&domain[1], 1, amgcl::mpi::datatype<ptrdiff_t>(), world);
std::partial_sum(domain.begin(), domain.end(), domain.begin());
lo = part.domain(world.rank).min_corner();
hi = part.domain(world.rank).max_corner();
prof.toc("partition");
renumbering renum(part, domain);
prof.tic("assemble");
std::vector<ptrdiff_t> ptr;
std::vector<ptrdiff_t> col;
std::vector<double> val;
std::vector<double> rhs;
ptr.reserve(chunk + 1);
col.reserve(chunk * 5);
val.reserve(chunk * 5);
ptr.push_back(0);
for(ptrdiff_t j = lo[1]; j <= hi[1]; ++j) {
for(ptrdiff_t i = lo[0]; i <= hi[0]; ++i) {
if (j > 0) {
col.push_back(renum(i,j-1));
val.push_back(-h2i);
}
if (i > 0) {
col.push_back(renum(i-1,j));
val.push_back(-h2i);
}
col.push_back(renum(i,j));
val.push_back(4 * h2i);
if (i + 1 < n) {
col.push_back(renum(i+1,j));
val.push_back(-h2i);
}
if (j + 1 < n) {
col.push_back(renum(i,j+1));
val.push_back(-h2i);
}
ptr.push_back( col.size() );
}
}
prof.toc("assemble");
size_t iters;
double error;
bool single_level = vm["single-level"].as<bool>();
if (single_level)
prm.put("precond.class", "relaxation");
std::tie(iters, error) = solve<amgcl::runtime::preconditioner>(
world, prm, std::tie(chunk, ptr, col, val));
if (world.rank == 0) {
std::cout
<< "Iterations: " << iters << std::endl
<< "Error: " << error << std::endl
<< std::endl
<< prof << std::endl;
}
}
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