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Stream join processing on heterogeneous processors

dc.contributor.authorKarnagel, Tomas
dc.contributor.authorSchlegel, Benjamin
dc.contributor.authorHabich, Dirk
dc.contributor.authorLehner, Wolfgang
dc.contributor.editorSaake, Gunter
dc.contributor.editorHenrich, Andreas
dc.contributor.editorLehner, Wolfgang
dc.contributor.editorNeumann, Thomas
dc.contributor.editorKöppen, Veit
dc.date.accessioned2018-10-24T10:44:44Z
dc.date.available2018-10-24T10:44:44Z
dc.date.issued2013
dc.description.abstractThe window-based stream join is an important operator in all data streaming systems. It has often high resource requirements so that many efficient sequential as well as parallel versions of it were proposed in the literature. The parallel stream join operators recently gain increasing interest because hardware is getting more and more parallel. Most of these operators, however, are only optimized for processors with homogeneous execution units (e.g., multi-core processors). Newly available processors with heterogeneous execution units cannot be exploited whereas such processors provide typically a very high peak performance. In this paper, we propose an initial variant of a window-based stream join operator that is optimized for processors with heterogeneous execution units. We provide an efficient load balancing approach to utilize all available execution units of a processor and further provide highly-optimized kernels that run on them. On our test machine with a 4-core CPU and an integrated graphics processor, our operator achieves a speedup of 69 2x compared to our single-threaded . implementation.en
dc.identifier.isbn978-3-88579-610-7
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/17431
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDatenbanksysteme für Business, Technologie und Web (BTW) 2013 - Workshopband
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-216
dc.titleStream join processing on heterogeneous processorsen
dc.typeText/Conference Paper
gi.citation.endPage26
gi.citation.publisherPlaceBonn
gi.citation.startPage17
gi.conference.date11.-12. März 2013
gi.conference.locationMagdeburg
gi.conference.sessiontitleRegular Research Papers

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