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Hardware supported efficient accelerator partitioning for workstation consolidation and virtualization

dc.contributor.authorHiltscher, Johannes
dc.contributor.editorCunningham, Douglas W.
dc.contributor.editorHofstedt, Petra
dc.contributor.editorMeer, Klaus
dc.contributor.editorSchmitt, Ingo
dc.date.accessioned2017-06-30T08:15:01Z
dc.date.available2017-06-30T08:15:01Z
dc.date.issued2015
dc.description.abstractAccelerators have gained an important role in recent years. While being used primarily in the scientific community in the beginning, they are now employed in a wide range of every day applications. Accelerators can hence be viewed in the focus of machine consolidation and virtualization, offering new opportunities for cost saving and services. Although these opportunities have been discussed intensively, today's commercially available accelerators are not well suited for such scenarios. More specifically, they lack support for partitioning, i.e. the concurrent assignment of subgroups of their computation elements to different applications. Mechanisms for indirect partitioning support exist but have inherent limitations. This paper presents a hardware supported approach for efficient accelerator partitioning which overcomes the limitations of existing solutions. SR-IOV is used to create an accelerator able to enforce guarantees on parameters like memory bandwidth.en
dc.identifier.isbn978-3-88579-640-4
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2015
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-246
dc.titleHardware supported efficient accelerator partitioning for workstation consolidation and virtualizationen
dc.typeText/Conference Paper
gi.citation.endPage1769
gi.citation.publisherPlaceBonn
gi.citation.startPage1759
gi.conference.date28. September - 2. Oktober 2015
gi.conference.locationCottbus

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