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dc.contributor.authorScheuermann, Bernd
dc.contributor.authorGrelck, Clemens
dc.contributor.authorHammond, Kevin
dc.contributor.authorHertlein, Heinz
dc.contributor.authorHoelzenspies, Philip
dc.contributor.authorJesshope, Chris
dc.contributor.authorKirner, Raimund
dc.contributor.authorShafarenko, Alex
dc.contributor.authorte Boekhorst, Rene
dc.contributor.authorWieser, Volkmar
dc.date.accessioned2013-01-10T12:59:09Z
dc.date.available2013-01-10T12:59:09Z
dc.date.issued2011
dc.identifier.citationScheuermann , B , Grelck , C , Hammond , K , Hertlein , H , Hoelzenspies , P , Jesshope , C , Kirner , R , Shafarenko , A , te Boekhorst , R & Wieser , V 2011 , Engineering Concurrent Software Guided by Statistical Performance Analysis . in Applications, Tools and Techniques on the Road to Exascale Computing : Proceedings ParCo 2011 . Advances in Parallel Computing , vol. 22 , IOS Press , pp. 385-394 . https://doi.org/10.3233/978-1-61499-041-3-385
dc.identifier.isbn978-1-61499-040-6
dc.identifier.isbn978-1-61499-041-3
dc.identifier.issn0927-5452
dc.identifier.otherPURE: 640859
dc.identifier.otherPURE UUID: bb616e15-fe16-4311-9200-b739fc682596
dc.identifier.otherScopus: 84906561383
dc.identifier.urihttp://hdl.handle.net/2299/9542
dc.description.abstractThis paper introduces the ADVANCE approach to engineering concurrent systems using a new component-based approach. A cost-directed tool-chain maps concurrent programs onto emerging hardware architectures, where costs are expressed in terms of programmer annotations for the throughput, latency and jitter of components. These are then synthesized using advanced statistical analysis techniques to give overall cost information about the concurrent system that can be exploited by the hardware virtualisation layer to drive mapping and scheduling decisions. Initial performance results are presented, showing that the ADVANCE technologies provide a promising approach to dealing with near- and future-term complexities of programming heterogeneous multi-core systems.en
dc.language.isoeng
dc.publisherIOS Press
dc.relation.ispartofApplications, Tools and Techniques on the Road to Exascale Computing
dc.relation.ispartofseriesAdvances in Parallel Computing
dc.titleEngineering Concurrent Software Guided by Statistical Performance Analysisen
dc.contributor.institutionSchool of Engineering and Technology
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionSchool of Computer Science
dc.relation.schoolSchool of Engineering and Technology
dc.relation.schoolSchool of Computer Science
dcterms.dateAccepted2011
rioxxterms.versionAM
rioxxterms.versionofrecordhttps://doi.org/10.3233/978-1-61499-041-3-385
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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