Abstract
A computer cluster is a group of loosely coupled computers that work together closely so that in many respects it can be viewed as though it were a single computer. Clusters are commonly connected through fast local area networks and are usually deployed to improve speed and/or reliability over that provided by a single computer, while typically being much more cost-effective than single computers of comparable speed or reliability. Clusters built from open source software, particularly based on the GNU/Linux operating system, are increasingly popular. Their success is not hard to explain because they can cheaply solve an ever-widening range of number-crunching applications. A wealth of open source or free software has emerged to make it easy to set up, administer, and program these clusters. This work aims at an implementation of free and open source clusters for performing scientific computations at a faster pace.
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