Index- supported similarity join on graphics processors
dc.contributor.author | Böhm, Christian | |
dc.contributor.author | Noll, Robert | |
dc.contributor.author | Plant, Claudia | |
dc.contributor.author | Zherdin, Andrew | |
dc.contributor.editor | Freytag, Johann-Christoph | |
dc.contributor.editor | Ruf, Thomas | |
dc.contributor.editor | Lehner, Wolfgang | |
dc.contributor.editor | Vossen, Gottfried | |
dc.date.accessioned | 2019-02-20T10:28:18Z | |
dc.date.available | 2019-02-20T10:28:18Z | |
dc.date.issued | 2009 | |
dc.description.abstract | The 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 parallelis | en |
dc.identifier.isbn | 978-3-88579-238-3 | |
dc.identifier.pissn | 1617-5468 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/20493 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | Datenbanksysteme in Business, Technologie und Web (BTW) – 13. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS) | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-144 | |
dc.title | Index- supported similarity join on graphics processors | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 66 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 57 | |
gi.conference.date | 2.-6. März 2009 | |
gi.conference.location | Münster | |
gi.conference.sessiontitle | Regular Research Papers |
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