mycoreobjectrosdok_document_0000000140rosdok_document_0000000140rosdokdocumentrosdok_derivate_00000040412023-08-08T10:52:37.809Z2009-09-22T14:09:44.641Zadministratorpublished1rosdok_derivate_0000004041truetruederivate_types:fulltextVolltextfulltextwf_edit_epub wf_register_epubstate:publishedstate:publishedveröffentlichtpublishedrosdok/id00002185625334167Osu2010-05-052023-08-05T14:20:02ZrdaConverted from PICA to MODS using Pica2Mods XSLT Transformer 2.7 [SCM: "0c0e7a3c226a4a0cbcbec39b493c3c5257339ab8" "v2.7" "2023-08-04T00:00:00+0200"] with mode 'DEFAULT'.ArtikelQuery processing on multi-core architecturesThe upcoming generation of computer hardware poses several new challenges for database developers and engineers. Software in general and database management systems (DBMSs) in particular will no longer benefit from performance gains of future hardware due to increase clock speed, as it was the case for the last 35 years; instead, the number of cores per CPU will increase steadily. Today’s approach is to run each query on a single core or only a few different cores using parallel query execution. This approach suffers from several problems (e.g. contention problem) and therefore leads to poor speed up and scale up behavior. These observations open several important research questions on how to use the new multi-core CPU architecture for improving the overall performance of DBMSs. This paper outlines our approach for query processing on multi-core CPU architectures. We present an abstract architecture view for multi-core CPUs, meta operators to control and to interact with the hardware, and a new query operator model that makes use of the meta operators to control the parallel execution of a query over different cores. We illustrate how each of these parts fits in our framework for query processing on multi-core architectures.FrankHuberVerfasserInautJohann-ChristophFreytag1954 -VerfasserInaut173759971http://purl.uni-rostock.de/rosdok/id00002185urn:nbn:de:gbv:28-rosdok_id00002185-310.18453/rosdok_id00002185004 InformatikFakultät für Informatik und Elektrotechnikalle Rechte vorbehaltenRechteinhaber Universität RostockLizenz Metadaten: CC0frei zugänglich (Open Access)en1 Online-Ressource (Seiten 27-31)2009Universität RostockRostocksingle unit20092009Universitätsbibliothek RostockRostock2009Universitätsbibliothek Rostockhttp://purl.uni-rostock.de/rosdok/id00002185Frank Huber; Johann-Christoph FreytagSeiten 27-31200900000000000973rosdok/id00002177616202938http://purl.uni-rostock.de/rosdok/id0000217721. Workshop Grundlagen von Datenbanken02.-05. Juni 2009, Rostock-Warnemünde : ProceedingsEnthalten indoctype:epubdoctype:epubDokumenttypDocument typedoctype:epub.articledoctype:epub.articleArtikelarticlediniPublType:article diniPublType2022:Articleinfo:eu-repo/semantics/articledocumentdiniPublType2022:ArticlediniPublType2022:ArticleWissenschaftlicher ArtikelScientific articleKDSF (Pu11)SDNB:004SDNB:004004 Informatik004 Data processing Computer sciencesinstitution:unirostockinstitution:unirostockUniversität RostockUniversity of RostockUniversität RostockUniversität RostockUni.Rostockhttp://d-nb.info/gnd/38329-6institution:unirostock.iefinstitution:unirostock.iefFakultät für Informatik und ElektrotechnikFaculty of Computer Science and Electrical EngineeringUniversität Rostock. 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Software in general and database management systems (DBMSs) in particular will no longer benefit from performance gains of future hardware due to increase clock speed, as it was the case for the last 35 years; instead, the number of cores per CPU will increase steadily. Today’s approach is to run each query on a single core or only a few different cores using parallel query execution. This approach suffers from several problems (e.g. contention problem) and therefore leads to poor speed up and scale up behavior. These observations open several important research questions on how to use the new multi-core CPU architecture for improving the overall performance of DBMSs. This paper outlines our approach for query processing on multi-core CPU architectures. We present an abstract architecture view for multi-core CPUs, meta operators to control and to interact with the hardware, and a new query operator model that makes use of the meta operators to control the parallel execution of a query over different cores. We illustrate how each of these parts fits in our framework for query processing on multi-core architectures.2009200921. Workshop Grundlagen von Datenbanken02.-05. Juni 2009, Rostock-Warnemünde : ProceedingsSeiten 27-31200900000000000973rosdok/id00002177616202938http://purl.uni-rostock.de/rosdok/id0000217721. Workshop Grundlagen von Datenbanken02.-05. Juni 2009, Rostock-Warnemünde : ProceedingsEnthalten inhttp://purl.uni-rostock.de/rosdok/id00002177Frank Huber; Johann-Christoph Freytagepub.article1 gvd2009_2.A.04_Huber.pdf 906096 7149a6ea7e73c1447d007e9f0a0224e0 rosdok/id00002185625334167Osu2010-05-052023-08-05T14:20:02ZrdaConverted from PICA to MODS using Pica2Mods XSLT Transformer 2.7 [SCM: "0c0e7a3c226a4a0cbcbec39b493c3c5257339ab8" "v2.7" "2023-08-04T00:00:00+0200"] with mode 'DEFAULT'.ArtikelQuery processing on multi-core architecturesThe upcoming generation of computer hardware poses several new challenges for database developers and engineers. Software in general and database management systems (DBMSs) in particular will no longer benefit from performance gains of future hardware due to increase clock speed, as it was the case for the last 35 years; instead, the number of cores per CPU will increase steadily. Today’s approach is to run each query on a single core or only a few different cores using parallel query execution. This approach suffers from several problems (e.g. contention problem) and therefore leads to poor speed up and scale up behavior. These observations open several important research questions on how to use the new multi-core CPU architecture for improving the overall performance of DBMSs. This paper outlines our approach for query processing on multi-core CPU architectures. We present an abstract architecture view for multi-core CPUs, meta operators to control and to interact with the hardware, and a new query operator model that makes use of the meta operators to control the parallel execution of a query over different cores. We illustrate how each of these parts fits in our framework for query processing on multi-core architectures.FrankHuberVerfasserInautJohann-ChristophFreytag1954 -VerfasserInaut173759971http://purl.uni-rostock.de/rosdok/id00002185urn:nbn:de:gbv:28-rosdok_id00002185-310.18453/rosdok_id00002185004 InformatikFakultät für Informatik und Elektrotechnikalle Rechte vorbehaltenRechteinhaber Universität RostockLizenz Metadaten: CC0frei zugänglich (Open Access)en1 Online-Ressource (Seiten 27-31)2009Universität RostockRostocksingle unit20092009Universitätsbibliothek RostockRostock2009Universitätsbibliothek Rostockhttp://purl.uni-rostock.de/rosdok/id00002185Frank Huber; Johann-Christoph FreytagSeiten 27-31200900000000000973rosdok/id00002177616202938http://purl.uni-rostock.de/rosdok/id0000217721. Workshop Grundlagen von Datenbanken02.-05. 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Software in general and database management systems (DBMSs) in particular will no longer benefit from performance gains of future hardware due to increase clock speed, as it was the case for the last 35 years; instead, the number of cores per CPU will increase steadily. Today’s approach is to run each query on a single core or only a few different cores using parallel query execution. This approach suffers from several problems (e.g. contention problem) and therefore leads to poor speed up and scale up behavior. These observations open several important research questions on how to use the new multi-core CPU architecture for improving the overall performance of DBMSs. This paper outlines our approach for query processing on multi-core CPU architectures. We present an abstract architecture view for multi-core CPUs, meta operators to control and to interact with the hardware, and a new query operator model that makes use of the meta operators to control the parallel execution of a query over different cores. We illustrate how each of these parts fits in our framework for query processing on multi-core architectures.2009200921. Workshop Grundlagen von Datenbanken02.-05. Juni 2009, Rostock-Warnemünde : ProceedingsSeiten 27-31200900000000000973rosdok/id00002177616202938http://purl.uni-rostock.de/rosdok/id0000217721. Workshop Grundlagen von Datenbanken02.-05. Juni 2009, Rostock-Warnemünde : ProceedingsEnthalten inhttp://purl.uni-rostock.de/rosdok/id00002177Frank Huber; Johann-Christoph Freytag[xslt]Saxonrosdok/id00002185https://purl.uni-rostock.de/rosdok/id0000218562533416710.18453/rosdok_id00002185urn:nbn:de:gbv:28-rosdok_id00002185-3Frank Huber, Johann-Christoph FreytagHuber Frank, Freytag Johann-ChristophQuery processing on multi-core architecturesArtikelarticleUniversität Rostock, 2009The upcoming generation of computer hardware poses several new challenges for database developers and engineers. Software in general and database management systems (DBMSs) in particular will no longer benefit from performance gains of future hardware due to increase clock speed, as it was the case…rosdok/id00002177200900000000000973Frank HuberJohann-Christoph FreytagQuery processing on multi-core architectures21. Workshop Grundlagen von Datenbanken02.-05. Juni 2009, Rostock-Warnemünde : ProceedingsUniversitätsbibliothek Rostockhttp://purl.uni-rostock.de/rosdok/id00002185FrankHuberVerfasserInautJohann-ChristophFreytag1954 -VerfasserInaut173759971[purl]http://purl.uni-rostock.de/rosdok/id00002185[urn]urn:nbn:de:gbv:28-rosdok_id00002185-3[doi]10.18453/rosdok_id00002185open_access20092009epoch:21th_centuryrfc5646:endoctype:epub.articleaccesscondition:openaccessSDNB:004institution:unirostock.iefstate:published