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Index- supported similarity join on graphics processors

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dc.contributor.authorBöhm, Christian
dc.contributor.authorNoll, Robert
dc.contributor.authorPlant, Claudia
dc.contributor.authorZherdin, Andrew
dc.contributor.editorFreytag, Johann-Christoph
dc.contributor.editorRuf, Thomas
dc.contributor.editorLehner, Wolfgang
dc.contributor.editorVossen, Gottfried
dc.date.accessioned2019-02-20T10:28:18Z
dc.date.available2019-02-20T10:28:18Z
dc.date.issued2009
dc.description.abstractThe similarity join is an important building block for similarity search and data mining algorithms. In this paper, we propose an algorithm for similarity join on Graphics Processing Units (GPUs). As major advantages GPUs provide extremely high parallelisen
dc.identifier.isbn978-3-88579-238-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/20493
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDatenbanksysteme in Business, Technologie und Web (BTW) – 13. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-144
dc.titleIndex- supported similarity join on graphics processorsen
dc.typeText/Conference Paper
gi.citation.endPage66
gi.citation.publisherPlaceBonn
gi.citation.startPage57
gi.conference.date2.-6. März 2009
gi.conference.locationMünster
gi.conference.sessiontitleRegular Research Papers

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P144 - BTW2009 - Datenbanksysteme in Business, Technologie und Web