GRID::Machine::perlparintro A brief and basic introduction to Parallel Distributed Computing in Perl
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grid Perl module perl parallel Parallel Distributed Computing

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A brief and basic introduction to Parallel Distributed Computing in Perl GRID::Machine::perlparintro is a brief and basic introduction to Parallel Distributed Computing in Perl.SYNOPSIS $ time gridpipes.pl 1 1000000000 Process 0: machine = beowulf partial = 3.141593 pi = 3.141593 Pi = 3.141593. N = 1000000000 Time = 27.058693 real 0m28.917s user 0m0.584s sys 0m0.192s pp2@nereida:~/LGRID_Machine/examples$ time gridpipes.pl 2 1000000000 Process 0: machine = beowulf partial = 1.570796 pi = 1.570796 Process 1: machine = orion partial = 1.570796 pi = 3.141592 Pi = 3.141592. N = 1000000000 Time = 15.094719 real 0m17.684s user 0m0.904s sys 0m0.260s pp2@nereida:~/LGRID_Machine/examples$ time gridpipes.pl 3 1000000000 Process 0: machine = beowulf partial = 1.047198 pi = 1.047198 Process 1: machine = orion partial = 1.047198 pi = 2.094396 Process 2: machine = nereida partial = 1.047198 pi = 3.141594 Pi = 3.141594. N = 1000000000 Time = 10.971036 real 0m13.700s user 0m0.952s sys 0m0.240sThe total computational power of institutions as a whole has dramatically rised in the last decades, but due to distributed ownership and administration restrictions, individuals are not able to capitalize such computing power. Many machines sit idle for very long periods of time while their owners are busy doing other things. Many of them run some sort of UNIX, have Perl installed and provide SSH access.If such is your scenario you can use GRID::Machine to have perl interpreters running in those nodes and make them collaborate to give you more computational power and more fun. All this without having to ask administrators or having to install any additional software.This tutorial introduces the basics of parallel computing by means of a simple program that distributes the evaluation of some mathematical expression between several machines. The computational results show that - when the problem is large enough - a substantial improving is gained in performance: The execution times is reduced to the half by using two machines. Requirements: · Perl

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