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A graphics tracing framework for exploring CPU+GPU memory systems
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
2017 (English)In: Proc. 20th International Symposium on Workload Characterization, IEEE, 2017, p. 54-65Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE, 2017. p. 54-65
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Computer Engineering
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URN: urn:nbn:se:uu:diva-357055DOI: 10.1109/IISWC.2017.8167756ISI: 000428206700006ISBN: 978-1-5386-1233-0 (electronic)OAI: oai:DiVA.org:uu-357055DiVA, id: diva2:1239722
Conference
IISWC 2017, October 1–3, Seattle, WA
Available from: 2017-12-07 Created: 2018-08-17 Last updated: 2018-09-24Bibliographically approved

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Sembrant, AndreasCarlson, Trevor E.Hagersten, ErikBlack-Schaffer, David

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