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Adaptive scheduling strategy optimizer for parallel rolling bearing simulation
SKF Nova AB, Chalmers Teknikpark, 412 88, Göteborg, Sweden.
2000 (English)In: Future generations computer systems, ISSN 0167-739X, Vol. 16, no 5, 563-570 p.Article in journal (Refereed) Published
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
2000. Vol. 16, no 5, 563-570 p.
National Category
Natural Sciences
URN: urn:nbn:se:liu:diva-47649DOI: 10.1016/S0167-739X(99)00140-5OAI: diva2:268545
Available from: 2009-10-11 Created: 2009-10-11 Last updated: 2011-01-14

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ReferencesLink to record
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