Managing Contention for Shared Resources on Multicore Processors.
The article discusses managing shared resources on multicore processors. Topics covered include modeling contention for shared resources, incorporating contention models in a scheduler, assessing modeling techniques, and a prototype scheduler built by the authors that handles contention for resource...
| Publicado en: | Communications of the ACM Vol. 53; no. 2; pp. 49 - 58 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Association for Computing Machinery
Feb2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=47776283&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 47776283 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Feb2010 vid: 53 iid: 2 pid: 68 pub: Association for Computing Machinery artinfo: ui: 47776283 10.1145/1646353.1646371 ppf: 49 ppct: 9 formats: tig: atl: Managing Contention for Shared Resources on Multicore Processors. aug: au: FEDOROVA, ALEXANDRA BLAGODUROV, SERGEY ZHURAVLEV, SERGEY affil: Assistant professor of computer science, Simon Fraser University in Vancouver, Canada. Simon Fraser University, Vancouver, Canada. su: Multicore processors Threads (Computer programs) Central processing units Software engineering Contention resolution protocols (Computer network protocols) Systems on a chip sug: subj: Multicore processors Threads (Computer programs) Central processing units Software engineering Contention resolution protocols (Computer network protocols) Systems on a chip ab: The article discusses managing shared resources on multicore processors. Topics covered include modeling contention for shared resources, incorporating contention models in a scheduler, assessing modeling techniques, and a prototype scheduler built by the authors that handles contention for resources based on miss rates of online threads. For this prototype and another aimed at scheduling workload applications, the authors present and discuss results. Their work shows that miss rates are an effective means of predicting contention. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2010 holdings: @attributes: islocal: N |
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