PyPAR 1.0 - Simple and efficient MPI binding for Python Copyright (C) 2001, 2002 Ole M. Nielsen -------------------------------------------------------

This is to announce GPL publication of pypar, ver 1.0 - a simple and efficient Python binding to MPI for parallel programming using Python. Background: ----------- The use of multi processor computers is becoming increasingly common and they appear in many forms: Desktop computers with more than one processor sharing memory, clusters of PC's connected with fast networks known as Beowulff clusters, and high-end super computers all make use of parallelism. To efficiently use these machines in a portable way one must be able to control communication among programs running in parallel. One such standard is the Message Passing Interface (MPI) for inter-processor communication.

Python and MPI: --------------- There are a number of other Python bindings to MPI that are more comprehensive than pypar (PyMPI, Scientific Python). However, pypar stands out by not requiring the Python interpreter to be modified, by being very easy to install and by by shielding the user from many details involving data types and MPI parameters without sacrificing the full bandwidth provided by the underlying MPI implementation.

Download: --------- Pypar can be downloaded from

http://datamining.anu.edu.au/pypar

where there is also more information available.

Credentials: ------------ Pypar was developed by Ole Nielsen at the Australian National University in 2001 for use in the APAC Data Mining Expertise Program and has been published under the GNU Public License (http://www.gnu.org/licenses/gpl.txt) as a small contribution

Contact: Ole.Nielsen@anu.edu.au

<P><A HREF="http://datamining.anu.edu.au/pypar">Pypar 1.0</A> - A simple and efficient MPI binding for Python. (07-Feb-02)