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Delivering Faster Results Through Parallelisation and GPU Acceleration

Newall, Matthew, Holmes, Violeta, Venters, Colin and Lunn, Paul (2015) Delivering Faster Results Through Parallelisation and GPU Acceleration. In: Intelligent Systems in Science and Information 2014. Studies in Computational Intelligence, 519 . Springer International Publishing, Switzerland, pp. 309-320. ISBN 978-3-319-14654-6

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Abstract

The rate of scientific discovery depends on the speed at which accurate
results and analysis can be obtained. The use of parallel co-processors such as
Graphical Processing Units (GPUs) is becoming more and more important in
meeting this demand as improvements in serial data processing speed become
increasingly difficult to sustain. However, parallel data processing requires more
complex programming compared to serial processing. Here we present our methods
for parallelising two pieces of scientific software, leveraging multiple GPUs to
achieve up to thirty times speed up.

Item Type: Book Chapter
Uncontrolled Keywords: GPU CUDA GPU cluster Parallelisation
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Schools: School of Computing and Engineering
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Depositing User: Violeta Holmes
Date Deposited: 26 Feb 2015 14:46
Last Modified: 02 Dec 2015 08:31
URI: http://eprints.hud.ac.uk/id/eprint/23251

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