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dc.contributor.authorLi, Ang
dc.contributor.authorLiu, Weifeng
dc.contributor.authorKristensen, Mads R. B.
dc.contributor.authorVinter, Brian
dc.contributor.authorWang, Hao
dc.contributor.authorHou, Kaixi
dc.contributor.authorMarquez, Andres
dc.contributor.authorSong, Shuaiwen Leon
dc.date.accessioned2018-04-18T07:55:45Z
dc.date.available2018-04-18T07:55:45Z
dc.date.created2018-04-06T09:39:27Z
dc.date.issued2017
dc.identifier.citationInternational Conference for High Performance Computing, Networking, Storage and Analysis. 2017, .nb_NO
dc.identifier.issn2167-4329
dc.identifier.urihttp://hdl.handle.net/11250/2494593
dc.description.abstractHigh-bandwidth On-Package Memory (OPM) innovates the conventional memory hierarchy by augmenting a new on-package layer between classic on-chip cache and off-chip DRAM. Due to its relative location and capacity, OPM is often used as a new type of LLC. Despite the adaptation in modern processors, the performance and power impact of OPM on HPC applications, especially scientific kernels, is still unknown. In this paper, we fill this gap by conducting a comprehensive evaluation for a wide spectrum of scientific kernels with a large amount of representative inputs, including dense, sparse and medium, on two Intel OPMs: eDRAM on multicore Broadwell and MCDRAM on manycore Knights Landing. Guided by our general optimization models, we demonstrate OPM's effectiveness for easing programmers' tuning efforts to reach ideal throughput for both compute-bound and memory-bound applications.nb_NO
dc.language.isoengnb_NO
dc.publisherAssociation for Computing Machinery (ACM)nb_NO
dc.titleExploring and Analyzing the Real Impact of Modern On-Package Memory on HPC Scientific Kernelsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber14nb_NO
dc.source.journalInternational Conference for High Performance Computing, Networking, Storage and Analysisnb_NO
dc.identifier.doihttp://dx.doi.org/10.1145/3126908.3126931
dc.identifier.cristin1577876
dc.relation.projectEC/H2020/752321nb_NO
dc.description.localcodeThis article will not be available due to copyright restrictions (c) 2017 by Association for Computing Machinery (ACM)nb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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