GPU Cluster for Accelerating Processing and Visualisation of Scientific and Engineering Data

Matthew Newall, Violeta Holmes, Paul Lunn

Research output: Contribution to conferencePaper

Abstract

The ability to process, visualise, and work with large volumes of data in a way that is fast, meaningful, and accurate is an essential part of many fields of scientific research today. The success of video game industry has resulted in ongoing developments in the complexity of Graphical Processing Units (GPU), as well as rapidly falling cost per core. Their characteristics make them excellently suited to any task exhibiting a high level of data parallelism. Recent development of GPU architectures is aimed at HPC systems and applications. In this paper we are presenting our experience in designing and deploying a small dedicated GPU based cluster for processing and visualising data generated by engineering and scientific application. This GPU cluster is helping our researchers to analyse complex data using visualisation, and to accelerate large data processing. We have shown that our GPU cluster solution can achieve five to ten times speed up compared to the CPU system. As a result of our work we can demonstrate that even a small GPU cluster can benefit Higher Education institutions.
Original languageEnglish
Pages140-145
Number of pages6
DOIs
Publication statusPublished - 9 Oct 2014
EventIEEE Science and Information - London, United Kingdom
Duration: 9 Apr 201411 Apr 2014
http://saiconference.com/Conferences/SAIConference2014 (Link to conference website.)

Conference

ConferenceIEEE Science and Information
Abbreviated titleSAI
CountryUnited Kingdom
CityLondon
Period9/04/1411/04/14
Internet address

Keywords

  • Graphics processing units
  • Acceleration
  • Data visualization
  • Educational institutions
  • Hardware
  • graphics processing units
  • data visualisation
  • higher education institutions
  • GPU cluster
  • accelerated processing
  • accelerated visualisation
  • engineering data
  • scientific data
  • scientific research
  • video game industry
  • graphical processing units
  • GPU architectures
  • CPU system
  • Visualisation
  • GPU
  • CUDA
  • GPU Cluster

Fingerprint Dive into the research topics of 'GPU Cluster for Accelerating Processing and Visualisation of Scientific and Engineering Data'. Together they form a unique fingerprint.

Cite this