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Minimizing Total Cost ($$) and Maximizing Throughput: A Metric for Node versus Core Usage in Multi-Core Clusters
University West, Department of Economics and IT, Division of Computer Science and Informatics.ORCID iD: 0000-0001-7232-0079
University West, Department of Economics and IT, Division of Computer Science and Informatics.
2010 (English)In: Proceedings of the International conference on Parallel and Distributed Processing Techniques and Applications:   / [ed] Hamid R. Arabnia, Las Vegas: CSREA Press , 2010, p. 241-248Conference paper, Published paper (Refereed)
Abstract [en]

When most commercial clusters had one processor core each, decreasing the runtime meant executing the application over more nodes – the associated cost (in $) would scale linearly with the number of nodes. However with the recent advances of multi-core processors the execution time can be increased by utilizing more nodes or by utilizing more cores in the same nodes. In the industrial cluster environments a key question is how to run the applications, to minimize the total cost while maximizing the throughput and solution times of the individual jobs. The number of core used and their contribution to the total runtime reduction is especially interesting since companies often use commercial software that is licensed per year and process. The annual license cost of one single process is often far greater than that of a complete cluster node including maintenance and power. In this paper we present a metric for the calculation of the optimal way to run an application on a cluster consisting of multi-core nodes in order to minimize the cost of executing the said job. 

Place, publisher, year, edition, pages
Las Vegas: CSREA Press , 2010. p. 241-248
Keywords [en]
multi-core, cluster, computational fluid dynamics, cost, licenses, metric
National Category
Computer Engineering
Research subject
ENGINEERING, Computer engineering
Identifiers
URN: urn:nbn:se:hv:diva-2446ISBN: 1601321562 (print)ISBN: 1601321570 (print)OAI: oai:DiVA.org:hv-2446DiVA, id: diva2:317189
Conference
The 2010 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA'10)
Available from: 2010-05-03 Created: 2010-05-03 Last updated: 2018-01-12Bibliographically approved

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de Blanche, Andreas

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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