Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/11006
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dc.contributor.authorHadjidoukas, P. E.en
dc.contributor.authorPhilos, G. C.en
dc.contributor.authorDimakopoulos, V. V.en
dc.date.accessioned2015-11-24T17:02:01Z-
dc.date.available2015-11-24T17:02:01Z-
dc.identifier.issn1058-9244-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/11006-
dc.rightsDefault Licence-
dc.subjectmulticore architecturesen
dc.subjectopenmpen
dc.subjectmultithreadingen
dc.subjectruntime systemsen
dc.subjectopenmpen
dc.subjectperformanceen
dc.subjectsystemen
dc.titleExploiting fine-grain thread parallelism on multicore architecturesen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primaryDoi 10.3233/Spr-2009-0291-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικήςel
heal.publicationDate2009-
heal.abstractIn this work we present a runtime threading system which provides an efficient substrate for fine-grain parallelism, suitable for deployment in multicore platforms. Its architecture encompasses a number of optimizations that make it particularly effective in managing a large number of threads and with low overheads. The runtime system has been integrated into an OpenMP implementation to allow for transparent usage under a high level programming paradigm. We evaluate our implementation on two multicore systems using synthetic microbenchmarks and a real-time face detection application.en
heal.journalNameScientific Programmingen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά)

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