Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5629
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dc.contributor.authorTang, Xulong-
dc.contributor.authorKandemir, Mahmut Taylan-
dc.contributor.authorZhao, H.-
dc.contributor.authorJung, M.-
dc.contributor.authorKaraköy, Mustafa-
dc.date.accessioned2021-09-11T15:19:26Z-
dc.date.available2021-09-11T15:19:26Z-
dc.date.issued2019en_US
dc.identifier.citation14th Joint Conference of International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 2019 and IFIP Performance Conference 2019, SIGMETRICS/Performance 2019, 24 June 2019 through 28 June 2019, , 149007en_US
dc.identifier.isbn9781450366786-
dc.identifier.urihttps://doi.org/10.1145/3309697.3331487-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/5629-
dc.description.abstractThe cost of moving data between compute elements and storage elements plays a signiicant role in shaping the overall performance of applications.We present a compiler-driven approach to reducing data movement costs. Our approach, referred to as Computing with Near Data (CND), is built upon a concept called ?recomputation?, in which a costly data access is replaced by a few less costly data accesses plus some extra computation, if the cumulative cost of the latter is less than that of the costly data access. Experimental result reveals that i) the average recomputability across our benchmarks is 51.1%, ii) our compiler-driven strategy is able to exploit 79.3% of the recomputation opportunities presented by our workloads, and iii) our enhancements increase the value of the recomputability metric signiicantly. © 2019 Copyright held by the owner/author(s).en_US
dc.description.sponsorshipIntel Corporation Samsungen_US
dc.description.sponsorshipACM SIGMETRICSen_US
dc.language.isoenen_US
dc.publisherAssociation for Computing Machinery, Incen_US
dc.relation.ispartofSIGMETRICS Performance 2019 - Abstracts of the 2019 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systemsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectData movementen_US
dc.subjectManycore systemsen_US
dc.subjectRecomputationen_US
dc.titleComputing With Near Data [conference Object]en_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.identifier.startpage27en_US
dc.identifier.endpage28en_US
dc.identifier.scopus2-s2.0-85067667933en_US
dc.institutionauthorKaraköy, Mustafa-
dc.identifier.doi10.1145/3309697.3331487-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conference14th Joint Conference of International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 2019 and IFIP Performance Conference 2019, SIGMETRICS/Performance 2019en_US
item.openairetypeConference Object-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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