Gpu-based personal supercomputing

Yaser Jararweh, Moath Jarrah, Abdelkader Bousselham, Salim Hariri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The complexity of today's applications has increased exponentially with the growing demand for unlimited computational resources. Cluster based supercomputing systems and high performance data centers have traditionally been the ideal assets to fulfill the ever increase in computing demands. Such computing resources require multi-millions dollars investment for building the system. The cost increases with the amount of power needed for operating and cooling the system along with the maintenance. In this paper we investigate the Personal SuperComputing (PSC) as an emerging concept in high performance computing that provides an opportunity to overcome most of aforementioned problems. We explore and evaluate the Gpu-based personal supercomputing system, and we compare it with conventional high performance cluster-based computing system. Our evaluations show promising opportunities in using GPU-based clusters for high performance computing applications.

Original languageEnglish
Title of host publication2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2013
PublisherIEEE Computer Society
DOIs
Publication statusPublished - 1 Jan 2013
Event2013 2nd IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2013 - Amman, Jordan
Duration: 3 Dec 20135 Dec 2013

Other

Other2013 2nd IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2013
CountryJordan
CityAmman
Period3/12/135/12/13

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Keywords

  • cluster computing
  • GPU Computing
  • high performance computing
  • personal supercomputing
  • power consumption

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Jararweh, Y., Jarrah, M., Bousselham, A., & Hariri, S. (2013). Gpu-based personal supercomputing. In 2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2013 [6716444] IEEE Computer Society. https://doi.org/10.1109/AEECT.2013.6716444