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Characterizing Task Scheduling Performance Based on Data Reuse
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication. (Uppsala Architecture Research Team (UART))ORCID iD: 0000-0003-2314-7307
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication. (Uppsala Architecture Research Team (UART))
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication. (Uppsala Architecture Research Team (UART))
2016 (English)In: Proc. 9th Nordic Workshop on Multi-Core Computing, 2016Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2016.
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:uu:diva-310338OAI: oai:DiVA.org:uu-310338DiVA, id: diva2:1056162
Conference
MCC16, November 29–30, Trondheim, Norway
Projects
Resource Sharing ModelingUPMARC
Funder
Swedish Foundation for Strategic Research , FFL12-0051Available from: 2016-12-14 Created: 2016-12-14 Last updated: 2018-11-16Bibliographically approved

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Ceballos, GermánBlack-Schaffer, David

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CiteExportLink to record
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