By Topic

Configuration and performance of a Beowulf cluster for large-scale scientific simulations

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
M. K. Gobbert ; University of Maryland, Baltimore County, Baltimore, MD, USA

To achieve optimal performance on a Beowulf cluster for large-scale scientific simulations, it's necessary to combine the right numerical method with its efficient implementation to exploit the cluster's critical high-performance components. This process is demonstrated using a simple but prototypical problem of solving a time-dependent partial differential equation. Beowulf clusters in virtually every price range are readily available today for purchase in fully integrated form from a large variety of vendors. At the University of Maryland, Baltimore County (UMBC), a medium-sized 64-processor cluster with high-performance interconnect and extended disk storage was bought from IBM. The cluster has several critical components, and this article demonstrates their roles using a prototype problem from the numerical solution of time-dependent partial differential equations (PDEs). The problem was selected to show how judiciously combining a numerical algorithm and its efficient implementation with the right hardware (in this case, the Beowulf cluster) can achieve parallel computing's two fundamental goals: to solve problems faster and to solve larger problems than we can on a serial computer.

Published in:

Computing in Science & Engineering  (Volume:7 ,  Issue: 2 )