Please use this identifier to cite or link to this item: http://cris.teiep.gr/jspui/handle/123456789/1289
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dc.contributor.authorΓούλας, Γεώργιοςel_GR
dc.contributor.authorΓκόγκος, Χρήστοςel_GR
dc.contributor.authorΒαλουξής, Χρήστοςel_GR
dc.contributor.authorΑλεφραγκής, Παναγιώτηςel_GR
dc.contributor.authorΒώρος, Νικόλαοςel_GR
dc.date.accessioned2014-10-29T10:20:14Z-
dc.date.available2014-10-29T10:20:14Z-
dc.date.issued2013-
dc.identifier.isbn978-3-642-36811-0 (Print) 978-3-642-36812-7 (Online)el_GR
dc.identifier.urihttp://cris.teiep.gr/jspui/handle/123456789/1289-
dc.descriptionBook title: Reconfigurable Computing: Architectures, Tools and Applications DOI: 10.1007/978-3-642-36812-7_33el_GR
dc.description.abstractIn this paper, the coarse grained parallelism optimization step of the ALMA EU FP7 project is discussed. The current results look promising, as the possibility to use Integer Programming and provide optimal results to the problem model seems feasible and efficient.el_GR
dc.format.extentσελ. 235-236el_GR
dc.language.isoenel_GR
dc.subjectParallel programming (Computer science)el_GR
dc.subjectComputer architectureel_GR
dc.titleCoarse grained parallelism optimization for multicore architectures: The ALMA project approachel_GR
dc.typePaperel
dc.subject.keywordAlgorithm parallelization for Multicore Architecturesel_GR
dc.subject.keywordALMAel_GR
dc.subject.keywordMulticore architecturesel_GR
dc.conference.name9th International Symposium, ARC 2013, Los Angeles, CA, USA, March 25-27, 2013. Proceedingsel_GR
item.grantfulltextnone-
item.fulltextΧωρίς πλήρες κείμενο-
Appears in Collections:Δημοσιεύσεις σε Συνέδρια
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