"Super Computers" or "Clusters" or "Bewulfs" are becoming more and more popular recently.  Parallel processing solves problems faster and is commonly programmed using a message passing paradigm. Traditional message passing systems are designed for strongly typed languages like C or FORTRAN.
Perl provides a non-compliant wrapper around the widely implemented MPI libraries, allowing messages to consist of arbitrarily nested Perl data structures whose size is limited by available memory. This hybrid approach should allow you to quickly write programs which run anywhere which supports MPI (both Beowulf and traditional MPP machines).
In this tutorial I?ll show how to write Perl programs for parallel processing using MPI, and show a live presentation from the Hebrew University?s Cluster.