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dc.contributor.authorHalbach, Mathias
dc.contributor.authorHoffmann, Rolf
dc.contributor.authorRöder, Patrick
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.accessioned2019-10-30T11:53:41Z
dc.date.available2019-10-30T11:53:41Z
dc.date.issued2004
dc.identifier.isbn3-88579-370-9
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/29382
dc.description.abstractIn order to optimize applications in the Cellular Automata model we have searched for a performant platform to run billions of simulations. The question was how much speed-up could be gained by using the FPGA technology compared to optimized software. As an example we implemented two cellular automata rules in software on a PC and also in FPGA logic. On our low end experimental platform we reached a speed-up of 19 for a medium complex rule and 14 for a complex rule. If we would use the latest high end FPGA technology, speed-ups up to many thousand are realistic. A cluster of thousands of workstations would be necessary to reach the same performance which is much more costly than a FPGA solution.en
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.titleFPGA implementation of cellular automata compared to software implementationen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages309-317
mci.conference.sessiontitleRegular Research Papers
mci.conference.locationAugsburg
mci.conference.dateMarch 26, 2004


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