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#include <iostream>
#include <vector>
#include <boost/scope_exit.hpp>
#include <boost/program_options.hpp>
#include <amgcl/backend/builtin.hpp>
#include <amgcl/adapter/crs_tuple.hpp>
#include <amgcl/mpi/util.hpp>
#include <amgcl/mpi/distributed_matrix.hpp>
#include <amgcl/profiler.hpp>
#include "domain_partition.hpp"
namespace amgcl {
profiler<> prof;
}
struct renumbering {
const domain_partition<3> ∂
const std::vector<ptrdiff_t> &dom;
renumbering(
const domain_partition<3> &p,
const std::vector<ptrdiff_t> &d
) : part(p), dom(d)
{}
ptrdiff_t operator()(ptrdiff_t i, ptrdiff_t j, ptrdiff_t k) const {
boost::array<ptrdiff_t, 3> p = {{i, j, k}};
std::pair<int,ptrdiff_t> v = part.index(p);
return dom[v.first] + v.second;
}
};
int main(int argc, char *argv[]) {
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;
// Read configuration from command line
ptrdiff_t n = 128;
namespace po = boost::program_options;
po::options_description desc("Options");
desc.add_options()
("help,h", "show help")
(
"size,n",
po::value<ptrdiff_t>(&n)->default_value(n),
"domain size"
)
;
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::array<ptrdiff_t, 3> lo = { {0, 0, 0 } };
boost::array<ptrdiff_t, 3> hi = { {n-1, n-1, n-1} };
using amgcl::prof;
prof.tic("partition");
domain_partition<3> part(lo, hi, world.size);
ptrdiff_t chunk = part.size( world.rank );
std::vector<ptrdiff_t> domain = world.exclusive_sum(chunk);
lo = part.domain(world.rank).min_corner();
hi = part.domain(world.rank).max_corner();
renumbering renum(part, domain);
prof.toc("partition");
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 * 7);
val.reserve(chunk * 7);
ptr.push_back(0);
const double h2i = (n - 1) * (n - 1);
for(ptrdiff_t k = lo[2]; k <= hi[2]; ++k) {
for(ptrdiff_t j = lo[1]; j <= hi[1]; ++j) {
for(ptrdiff_t i = lo[0]; i <= hi[0]; ++i) {
if (k > 0) {
col.push_back(renum(i,j,k-1));
val.push_back(-h2i);
}
if (j > 0) {
col.push_back(renum(i,j-1,k));
val.push_back(-h2i);
}
if (i > 0) {
col.push_back(renum(i-1,j,k));
val.push_back(-h2i);
}
col.push_back(renum(i,j,k));
val.push_back(6 * h2i);
if (i + 1 < n) {
col.push_back(renum(i+1,j,k));
val.push_back(-h2i);
}
if (j + 1 < n) {
col.push_back(renum(i,j+1,k));
val.push_back(-h2i);
}
if (k + 1 < n) {
col.push_back(renum(i,j,k+1));
val.push_back(-h2i);
}
ptr.push_back( col.size() );
}
}
}
prof.toc("assemble");
typedef amgcl::backend::builtin<double> Backend;
typedef amgcl::mpi::distributed_matrix<Backend> Matrix;
prof.tic("create distributed version");
Matrix A(world, std::tie(chunk, ptr, col, val), chunk);
prof.toc("create distributed version");
prof.tic("distributed product");
auto B = amgcl::mpi::product(A, A);
prof.toc("distributed product");
if (world.rank == 0) {
if (world.size == 1) {
typedef amgcl::backend::crs<double> matrix;
matrix A(std::tie(chunk, ptr, col, val));
prof.tic("openmp product");
auto B = amgcl::backend::product(A, A);
prof.toc("openmp product");
}
std::cout << prof << std::endl;
}
}
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