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Fast scenario-based design space exploration using feature selection

dc.contributor.authorStralen, Peter van
dc.contributor.authorPimentel, Andy
dc.contributor.editorMühl, Gero
dc.contributor.editorRichling, Jan
dc.contributor.editorHerkersdorf, Andreas
dc.date.accessioned2019-10-30T12:50:19Z
dc.date.available2019-10-30T12:50:19Z
dc.date.issued2012
dc.description.abstractThis paper presents a novel approach to efficiently perform early system level design space exploration (DSE) of MultiProcessor System-on-Chip (MPSoC) based embedded systems. By modeling dynamic multi-application workloads using application scenarios, optimal designs can be quickly identified using a combination of a scenario-based DSE and a feature selection algorithm. The feature selection algorithm identifies a representative subset of scenarios, which is used to predict the fitness of the MPSoC design instances in the genetic algorithm of the scenario-based DSE. Results show that our scenario-based DSE provides a tradeoff between the speed and accuracy of the early DSE.en
dc.identifier.isbn978-3-88579-294-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/29510
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofARCS 2012 Workshops
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-200
dc.titleFast scenario-based design space exploration using feature selectionen
dc.typeText/Conference Paper
gi.citation.endPage408
gi.citation.publisherPlaceBonn
gi.citation.startPage397
gi.conference.date28. Februar-2. März 2012
gi.conference.locationMünchen
gi.conference.sessiontitleRegular Research Papers

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