Source code for simple_homog_mpi

#!/usr/bin/env python
# 06.06.2017, c
"""
Solve a coupled two-scale problem in parallel. One computational node is solving
a macroscopic equation while the others are solving local microscopic problems
and homogenized coefficients.

Run this script as::

    mpiexec -n 4 simple_homog_mpi.py examples/homogenization/nonlinear_hyperelastic_mM.py

"""
from __future__ import print_function
from __future__ import absolute_import
from argparse import ArgumentParser, RawDescriptionHelpFormatter

from sfepy.base.base import output, Struct
from sfepy.base.conf import ProblemConf, get_standard_keywords
from sfepy.applications import PDESolverApp
from sfepy.homogenization.homogen_app import HomogenizationApp
import simple

import sfepy.base.multiproc_mpi as multi_mpi


helps = {k: simple.helps[k] for k in ['debug', 'conf', 'options', 'define',
                                      'filename', 'output_format', 'log',
                                      'quiet']}
helps.update({
    'debug_mpi': 'log MPI communication',
})


[docs]def main(): # if multi_mpi.cpu_count() < 2: # raise ValueError('MPI mode - the number of nodes is less then 2!') if multi_mpi.mpi_rank == multi_mpi.mpi_master: # MPI master node - solve problem at macro scale parser = ArgumentParser(description=__doc__, formatter_class=RawDescriptionHelpFormatter) parser.add_argument('--debug', action='store_true', dest='debug', default=False, help=helps['debug']) parser.add_argument('--debug_mpi', action='store_true', dest='debug_mpi', default=False, help=helps['debug_mpi']) parser.add_argument('-c', '--conf', metavar='"key : value, ..."', action='store', dest='conf', type=str, default=None, help=helps['conf']) parser.add_argument('-O', '--options', metavar='"key : value, ..."', action='store', dest='app_options', type=str, default=None, help=helps['options']) parser.add_argument('-d', '--define', metavar='"key : value, ..."', action='store', dest='define_args', type=str, default=None, help=helps['define']) parser.add_argument('-o', metavar='filename', action='store', dest='output_filename_trunk', default=None, help=helps['filename']) parser.add_argument('--format', metavar='format', action='store', dest='output_format', default=None, help=helps['output_format']) parser.add_argument('--log', metavar='file', action='store', dest='log', default=None, help=helps['log']) parser.add_argument('-q', '--quiet', action='store_true', dest='quiet', default=False, help=helps['quiet']) group = parser.add_mutually_exclusive_group(required=True) group.add_argument('filename_in', nargs='?') options = parser.parse_args() for k in ['save_ebc', 'save_ebc_nodes', 'save_regions', 'save_regions_as_groups', 'save_field_meshes', 'solve_not']: setattr(options, k, False) if options.debug: from sfepy.base.base import debug_on_error; debug_on_error() if options.debug_mpi: multi_mpi.set_logging_level('debug') filename_in = options.filename_in output.set_output(filename=options.log, quiet=options.quiet, combined=options.log is not None) required, other = get_standard_keywords() conf = ProblemConf.from_file_and_options(filename_in, options, required, other, define_args=options.define_args) opts = conf.options nslaves = multi_mpi.cpu_count() - 1 opts.n_mpi_homog_slaves = nslaves output_prefix = opts.get('output_prefix', 'sfepy:') app = PDESolverApp(conf, options, output_prefix) if hasattr(opts, 'parametric_hook'): # Parametric study. parametric_hook = conf.get_function(opts.parametric_hook) app.parametrize(parametric_hook) app() multi_mpi.master_send_task('finalize', None) else: # MPI slave mode - calculate homogenized coefficients homogen_app = None done = False rank = multi_mpi.mpi_rank while not done: task, data = multi_mpi.slave_get_task('main slave loop') if task == 'init': # data: micro_file, n_micro output.set_output(filename='homog_app_mpi_%d.log' % rank, quiet=True) micro_file, n_micro = data[:2] required, other = get_standard_keywords() required.remove('equations') conf = ProblemConf.from_file(micro_file, required, other, verbose=False) options = Struct(output_filename_trunk=None) homogen_app = HomogenizationApp(conf, options, 'micro:', n_micro=n_micro) elif task == 'calculate': # data: rel_def_grad, ts, iteration macro_data, ts, iteration = data[:3] homogen_app.setup_macro_data(macro_data) homogen_app(ret_all=True, itime=ts.step, iiter=iteration) elif task == 'finalize': done = True
if __name__ == '__main__': main()