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Multicore Clusters for CFD Simulations: Comparative Study of Three CFD-Softwares
University West, Department of Engineering Science, Division of Automation and Computer Engineering.ORCID iD: 0000-0001-7232-0079
University West, Department of Engineering Science, Division of Automation and Computer Engineering.
University West, Department of Economics and IT, Division of Computer Engineering.
2012 (English)In: PROCEEDINGS OFTHE 2012 INTERNATIONAL CONFERENCE ONPARALLEL AND DISTRIBUTED PROCESSING TECHNIQUES ANDAPPLICATIONS, PART II / [ed] Hamid R. Arabnia, Hiroshi Ishii, Minoru Ito Kazuki Joe, Hiroaki Nishikawa, CSREA Press, 2012, p. 855-852Conference paper, Published paper (Refereed)
Abstract [en]

Multicore processors have come to stay, fulfill Moore’s law and might very well revolutionize the computer industry. However, we are now in a transitional period before the new programming models, numerical algorithms and general computer architecture have been developed and the software has been rewritten. This paper focuses on the effects multicore based systems have on industrial computational fluid dynamics (CFD) simulations. The most significant finding was that five of the models ran faster when only one process was executed on each multicore node instead of two. In these cases the execution time was increased by between 6.5% and 64% with a median increase of 10% when utilizing both cores.

Place, publisher, year, edition, pages
CSREA Press, 2012. p. 855-852
Keywords [en]
multicore, cluster, non-uniform inter-process communication
National Category
Computer Engineering
Research subject
ENGINEERING, Computer engineering
Identifiers
URN: urn:nbn:se:hv:diva-4912ISBN: 1-60132-227-5 (print)ISBN: 1-60132-228-3 (print)OAI: oai:DiVA.org:hv-4912DiVA, id: diva2:579894
Conference
International Conference on Parallel and Distributed Processing Techniques and Applications
Projects
Increased Simulation Efficiency in Industrial Manufacturing
Funder
The Knowledge Foundation, 2008/0519Available from: 2012-12-20 Created: 2012-12-20 Last updated: 2018-01-11Bibliographically approved

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de Blanche, Andreas

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CiteExportLink to record
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