Parallel computing on clusters and enterprise grids : practice and experience
Data(s) |
01/01/2009
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Resumo |
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.<br /> |
Identificador | |
Idioma(s) |
eng |
Publicador |
Inderscience Publishers |
Relação |
http://dro.deakin.edu.au/eserv/DU:30029221/goscinski-parallelcomputing-post-2009.pdf http://dro.deakin.edu.au/eserv/DU:30029221/wong-parallelcomputing-2009.pdf http://dx.doi.org/10.1504/IJHPCN.2009.027464 |
Direitos |
2009, Inderscience Enterprises |
Palavras-Chave | #parallel benchmarks #sequential benchmarks #job scheduling #dynamic load balancing #enterprise grids. #clusters |
Tipo |
Journal Article |