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dc.contributor.authorBroneske, David
dc.contributor.authorSaake, Gunter
dc.date.accessioned2018-04-12T13:26:11Z
dc.date.available2018-04-12T13:26:11Z
dc.date.issued2017
dc.identifier.issn1611-2776
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/16397
dc.description.abstractIn main-memory database systems, the time to process the data has become a limiting factor due to the missing access gap. With changing processing capabilities (e.g., branch prediction, pipelining) in every new CPU architecture, code that was optimal once will probably not stay the best code forever. In this article, we analyze processing capabilities of the classical CPU and describe code optimizations to exploit the capabilities. Furthermore, we present state-of-the-art compiler techniques that already implement code optimizations, while also showing gaps for further code optimization integration.en
dc.language.isoen
dc.publisherDe Gruyter
dc.relation.ispartofit - Information Technology: Vol. 59, No. 5
dc.subjectIn main-memory database systems
dc.subjectthe time to process the data has become a limiting factor due to the missing access gap. With changing processing capabilities (e.g.
dc.subjectbranch prediction
dc.subjectpipelining) in every new CPU architecture
dc.subjectcode that was optimal once will probably not stay the best code forever. In this article
dc.subjectwe analyze processing capabilities of the classical CPU and describe code optimizations to exploit the capabilities. Furthermore
dc.subjectwe present state-of-the-art compiler techniques that already implement code optimizations
dc.subjectwhile also showing gaps for further code optimization integration.
dc.titleExploiting capabilities of modern processors in data intensive applicationsen
dc.typeText/Journal Article
dc.pubPlaceBerlin
mci.reference.pages133
mci.conference.sessiontitleThematic Issue: Modern Database Architectures for Modern Hardware
dc.identifier.doi10.1515/itit-2016-0049


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