Parallel computing on clusters and enterprise grids: practice and experience

Authors:
Adam K. L. Wong;Andrzej M. Goscinski
Affiliations:
School of Information Technology, Deakin University, Geelong, Vic 3216, Australia.;School of Information Technology, Deakin University, Geelong, Vic 3216, Australia
Venue:
International Journal of High Performance Computing and Networking
Year:
2009

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Abstract

We assert that companies can make more money and research institutions can improve their performance if inexpensive clusters and enterprise grids are exploited. In this paper, we have demonstrated that our claim is valid by showing the study of how programming environments, tools and middleware could be used for the execution of parallel and sequential applications, multiple parallel applications executing simultaneously on a non-dedicated cluster, and parallel applications on an enterprise grid and that the execution performance was improved. For this purpose an execution environment, and parallel and sequential benchmark applications selected for, and used in, the experiments were characterised.