GPU Scaling: From Personal Supercomputing to the Cloud

Yaser Jararweh, Moath Jarrah and Abdelkader Bousselham
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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

International Journal of Information Technology and Web Engineering (IJITWE), 2014, vol. 9, issue 4, 13-23

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.

Date: 2014
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