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Adaptive scheduling strategy optimizer for parallel rolling bearing simulation
Linköping University, Department of Computer and Information Science, PELAB - Programming Environment Laboratory. Linköping University, The Institute of Technology.
Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
1999 (English)In: High-Performance Computing and Networking: 7th International Conference, HPCN Europe 1999 Amsterdam, The Netherlands, April 12–14, 1999 Proceedings / [ed] Peter Sloot, Marian Bubak, Alfons Hoekstra and Bob Hertzberger, Springer Berlin/Heidelberg, 1999, Vol. 1593, 99-108 p.Chapter in book (Refereed)
Abstract [en]

Rolling bearing simulations are very computationally intensive and need to utilize the potential of parallel computing. The load distribution over the processors in a rolling bearing simulation is very dynamic. In this paper we present the Adaptive Scheduling Strategy Optimizer (ASSO) for scheduling parallel simulations. The result of this is that the application can automatically select a near optimal scheduling strategy (with respect to the available scheduling strategies). The ASSO is used daily in real bearing simulations.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 1999. Vol. 1593, 99-108 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 1593
Keyword [en]
High performance computing Congresses, Computer networks Congresses, High performance numerical computation
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-48363DOI: 10.1007/BFb0100570ISBN: 3-540-65821-1 (print)ISBN: 978-3-540-65821-4 (print)ISBN: e-978-3-540-48933-7 OAI: oai:DiVA.org:liu-48363DiVA: diva2:269259
Available from: 2009-10-11 Created: 2009-10-11 Last updated: 2014-04-09

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Fritzson, Dag

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  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • asciidoc
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