GPU scaling

From personal supercomputing to the cloud

Yaser Jararweh, Moath Jarrah, Abdelkader Bousselham

Research output: Contribution to journalArticle

Abstract

Current state-of-the-art GPU-based systems offer unprecedented performance advantages through accelerating the most compute-intensive portions of applications by an order of magnitude. GPU computing presents a viable solution for the ever-increasing complexities in applications and the growing demands for immense computational resources. In this paper the authors investigate different platforms of GPU-based systems, starting from the Personal Supercomputing (PSC) to cloud-based GPU systems. The authors explore and evaluate the GPU-based platforms and the authors present a comparison discussion against the conventional high performance cluster-based computing systems. The authors' evaluation shows potential advantages of using GPU-based systems for high performance computing applications while meeting different scaling granularities.

Original languageEnglish
Pages (from-to)13-23
Number of pages11
JournalInternational Journal of Information Technology and Web Engineering
Volume9
Issue number4
DOIs
Publication statusPublished - 1 Oct 2014

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Keywords

  • Cloud computing
  • Cluster computing
  • GPU computing
  • High performance applications
  • Power consumption

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

GPU scaling : From personal supercomputing to the cloud. / Jararweh, Yaser; Jarrah, Moath; Bousselham, Abdelkader.

In: International Journal of Information Technology and Web Engineering, Vol. 9, No. 4, 01.10.2014, p. 13-23.

Research output: Contribution to journalArticle

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