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Modelling of parameters in supercomputer workloads

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dc.contributor.authorSong, Baiyi
dc.contributor.authorErnemann, Carsten
dc.contributor.authorYahyapour, Ramin
dc.contributor.editorBrinkschulte, Uwe
dc.contributor.editorBecker, Jürgen
dc.contributor.editorFey, Dietmar
dc.contributor.editorGroßpietsch, Karl-Erwin
dc.contributor.editorHochberger, Christian
dc.contributor.editorMaehle, Erik
dc.contributor.editorRunkler, Thomas A.
dc.date.accessioned2019-10-30T11:53:46Z
dc.date.available2019-10-30T11:53:46Z
dc.date.issued2004
dc.description.abstractEvaluation methods for parallel computers often require the availability of relevant workload information. To this end, workload traces recorded on real installations are frequently used. Alternatively, workload models are applied. However, often not all necessary information are available for a specific workload. In this paper, a model is presented to recover an estimated job execution time when this information is not available. The quality of the modelled estimated runtime is evaluated by comparing different workload traces for which this information is available.en
dc.identifier.isbn3-88579-370-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/29393
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofARCS 2004 – Organic and pervasive computing
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-41
dc.titleModelling of parameters in supercomputer workloadsen
dc.typeText/Conference Paper
gi.citation.endPage409
gi.citation.publisherPlaceBonn
gi.citation.startPage400
gi.conference.dateMarch 26, 2004
gi.conference.locationAugsburg
gi.conference.sessiontitleRegular Research Papers

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P041 - ARCS 2004 - Organic and Pervasive Computing