Parallel computing on clusters and enterprise grids : practice and experience


Autoria(s): Wong, Adam K. L.; Goscinski, Andrzej M.
Data(s)

01/01/2009

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

http://hdl.handle.net/10536/DRO/DU:30029221

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