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A comparison of parallel programming models of network processors

dc.contributor.authorAlbrecht, Carsten
dc.contributor.authorHagenau, Rainer
dc.contributor.authorMaehle, Erik
dc.contributor.authorDöring, Andreas
dc.contributor.authorHerkersdorf, Andreas
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.abstractToday's network processor utilize parallel processing in order to cope with the traffic growth and wire-speed of current and future network technologies. In this paper, we study two important parallel programming models for network processors: run to completion and pipelining. In particular, the packet flow of a standard network application, IPv4 Forwarding, through two examined network processors, IBM PowerNP NP4GS3 and Intel IXP1200, is reviewed and characterized in respect to their programming models. Based on a benchmark for PC-cluster SANs, their application throughput and latency for Gigabit Ethernet is investigated and compared to a commercial, ASIC-based switch. It is shown that in this scenario network processors can compete with hard-wired solutions.en
dc.identifier.isbn3-88579-370-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/29392
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.titleA comparison of parallel programming models of network processorsen
dc.typeText/Conference Paper
gi.citation.endPage399
gi.citation.publisherPlaceBonn
gi.citation.startPage390
gi.conference.dateMarch 26, 2004
gi.conference.locationAugsburg
gi.conference.sessiontitleRegular Research Papers

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