.. meta::
   :keywords:    Python, MPI, PETSc, ParMETIS, parallel computing.
   :description: Resources for Parallel Computing in Python.

==========================================
Resources for Parallel Computing in Python
==========================================

:Authors:      Lisandro Dalcin; Rodrigo Paz; Mario Storti
:Organization: International Center for 
	       Computer Methods in Engineering (CIMEC_)
:Address:      PTLC, (3000) Santa Fe, Argentina.
:Contact:      dalcinl@users.sourceforge.net
:Web Site:     http://www.cimec.org.ar/python/
:Date:         $Date: 2007-26-04 $

:Abstract:     At CIMEC_, we are experimenting with the Python_
	       programming language as a viable alternative for rapid
	       parallel application development and unpainful
	       integration of parallelized source code from different
	       sources.

	       This page lists all available resources and provides
	       links to download already developed components.

	       .. _CIMEC:    http://www.cimec.org.ar/
	       .. _Python:   http://www.python.org/

.. contents::


Objectives
==========

Our efforts have been directed toward the development of the following
components:

- A port to MPI_ libraries (with emphasis in the widely used
  implementations MPICH_ and LAM_, and the recent `Open MPI`_). We
  want to achieve full support for managemet of *groups*,
  *intra/inter-communicators* and *virtual topologies* as well as the
  communication of general Python object between processes.

  .. _MPI:      http://www.mpi-forum.org/
  .. _MPICH:    http://www-unix.mcs.anl.gov/mpi/mpich/
  .. _LAM:      http://www.lam-mpi.org/
  .. _Open MPI: http://www.open-mpi.org/

- A port to PETSc_ libraries to provide capabilities for the flexible,
  efficient and scalable solution of large systems of linear and
  non-linear equations and integration with current Python packages
  specialized in numerical computations (as NumPy_).

  .. _PETSc: http://www-unix.mcs.anl.gov/petsc/petsc-as/
  .. _NumPy: http://numpy.scipy.org/

- A port to ParMETIS_ libraries for parallel partition of graphs and
  meshes, which repeatedly arise in scientific applications modeled by
  partial differential equations.

  .. _ParMETIS: http://www-users.cs.umn.edu/~karypis/metis/


Get the Software
================

- MPI for Python

  + Web Site: http://mpi4py.scipy.org

  + Download: http://cheeseshop.python.org/pypi/mpi4py

- PETSc for Python
  
  + Web Site: http://code.google.com/p/petsc4py

  + Download: http://code.google.com/p/petsc4py/downloads/list

- ParMETIS for Python
  
  Not available yet. Please contact developers if you really want to try it.


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