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rAKA/test/test_solver/test_petsc_matrix_profile_parallel.cc
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test_petsc_matrix_profile_parallel.cc
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/**
* @file test_petsc_matrix_profile.cc
* @author Aurelia Cuba Ramos <aurelia.cubaramos@epfl.ch>
* @date Wed Jul 30 12:34:08 2014
*
* @brief test the profile generation of the PETScMatrix class in parallel
*
* @section LICENSE
*
* Copyright (©) 2010-2011 EPFL (Ecole Polytechnique Fédérale de Lausanne)
* Laboratory (LSMS - Laboratoire de Simulation en Mécanique des Solides)
*
* Akantu is free software: you can redistribute it and/or modify it under the
* terms of the GNU Lesser General Public License as published by the Free
* Software Foundation, either version 3 of the License, or (at your option) any
* later version.
*
* Akantu is distributed in the hope that it will be useful, but WITHOUT ANY
* WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
* A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more
* details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with Akantu. If not, see <http://www.gnu.org/licenses/>.
*
*/
/* -------------------------------------------------------------------------- */
#include <cstdlib>
#include <fstream>
/* -------------------------------------------------------------------------- */
#include "static_communicator.hh"
#include "aka_common.hh"
#include "aka_csr.hh"
#include "mesh.hh"
#include "mesh_io.hh"
#include "mesh_utils.hh"
#include "distributed_synchronizer.hh"
#include "petsc_matrix.hh"
#include "fe_engine.hh"
#include "dof_synchronizer.hh"
/// #include "dumper_paraview.hh"
#include "mesh_partition_scotch.hh"
using namespace akantu;
int main(int argc, char *argv[]) {
initialize(argc, argv);
const ElementType element_type = _triangle_3;
const GhostType ghost_type = _not_ghost;
UInt spatial_dimension = 2;
StaticCommunicator & comm = akantu::StaticCommunicator::getStaticCommunicator();
Int psize = comm.getNbProc();
Int prank = comm.whoAmI();
/// read the mesh and partition it
Mesh mesh(spatial_dimension);
/* ------------------------------------------------------------------------ */
/* Parallel initialization */
/* ------------------------------------------------------------------------ */
DistributedSynchronizer * communicator = NULL;
if(prank == 0) {
/// creation mesh
mesh.read("square.msh");
MeshPartitionScotch * partition = new MeshPartitionScotch(mesh, spatial_dimension);
partition->partitionate(psize);
communicator = DistributedSynchronizer::createDistributedSynchronizerMesh(mesh, partition);
delete partition;
} else {
communicator = DistributedSynchronizer::createDistributedSynchronizerMesh(mesh, NULL);
}
// dump mesh in paraview
// DumperParaview mesh_dumper("mesh_dumper");
// mesh_dumper.registerMesh(mesh, spatial_dimension, _not_ghost);
// mesh_dumper.dump();
/// initialize the FEEngine and the dof_synchronizer
FEEngine *fem = new FEEngineTemplate<IntegratorGauss,ShapeLagrange,_ek_regular>(mesh, spatial_dimension, "my_fem");
DOFSynchronizer dof_synchronizer(mesh, spatial_dimension);
UInt nb_global_nodes = mesh.getNbGlobalNodes();
dof_synchronizer.initGlobalDOFEquationNumbers();
// construct an Akantu sparse matrix, build the profile and fill the matrix for the given mesh
UInt nb_element = mesh.getNbElement(element_type);
UInt nb_nodes_per_element = mesh.getNbNodesPerElement(element_type);
UInt nb_dofs_per_element = spatial_dimension * nb_nodes_per_element;
SparseMatrix K_akantu(nb_global_nodes * spatial_dimension, _unsymmetric);
K_akantu.buildProfile(mesh, dof_synchronizer, spatial_dimension);
/// use as elemental matrices a matrix with values equal to 1 every where
Matrix<Real> element_input(nb_dofs_per_element, nb_dofs_per_element, 1.);
Array<Real> K_e = Array<Real>(nb_element, nb_dofs_per_element * nb_dofs_per_element, "K_e");
Array<Real>::matrix_iterator K_e_it = K_e.begin(nb_dofs_per_element, nb_dofs_per_element);
Array<Real>::matrix_iterator K_e_end = K_e.end(nb_dofs_per_element, nb_dofs_per_element);
for(; K_e_it != K_e_end; ++K_e_it)
*K_e_it = element_input;
// assemble the test matrix
fem->assembleMatrix(K_e, K_akantu, spatial_dimension, element_type, ghost_type);
/// construct a PETSc matrix
PETScMatrix K_petsc(nb_global_nodes * spatial_dimension, _unsymmetric);
/// build the profile of the PETSc matrix for the mesh of this example
K_petsc.buildProfile(mesh, dof_synchronizer, spatial_dimension);
/// add an Akantu sparse matrix to a PETSc sparse matrix
K_petsc.add(K_akantu, 1);
/// save the profile
K_petsc.saveMatrix("profile_parallel.txt");
/// print the matrix to screen
std::ifstream profile;
profile.open("profile_parallel.txt");
std::string current_line;
while(getline(profile, current_line))
std::cout << current_line << std::endl;
profile.close();
delete communicator;
finalize();
return EXIT_SUCCESS;
}
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