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GPU Scaling: From Personal Supercomputing to the Cloud

Author

Listed:
  • Yaser Jararweh

    (Jordan University of Science and Technology, Irbid, Jordan)

  • Moath Jarrah

    (Jordan University of Science and Technology, Irbid, Jordan)

  • Abdelkader Bousselham

    (Qatar Environment and Energy Research Institute, Doha, Qatar)

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.

Suggested Citation

  • Yaser Jararweh & Moath Jarrah & Abdelkader Bousselham, 2014. "GPU Scaling: From Personal Supercomputing to the Cloud," International Journal of Information Technology and Web Engineering (IJITWE), IGI Global, vol. 9(4), pages 13-23, October.
    • Handle: RePEc:igg:jitwe0:v:9:y:2014:i:4:p:13-23
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