GPU Scaling: From Personal Supercomputing to the Cloud

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Author(s): Yaser Jararweh (Jordan University of Science and Technology, Jordan), Moath Jarrah (Jordan University of Science and Technology, Jordan)and Abdelkader Bousselham (Qatar Environment and Energy Research Institute, Qatar)
Copyright: 2016
Pages: 12
Source title: Web-Based Services: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-9466-8.ch105

Keywords: Computer Science & IT / Information Science Reference / Web Technologies / Web Technologies & Engineering

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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.

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GPU Scaling: From Personal Supercomputing to the Cloud

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