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D6.5 Evaluation of auto-tuning techniques
Umeå University, Faculty of Science and Technology, Department of Computing Science. Umeå University, Faculty of Science and Technology, High Performance Computing Center North (HPC2N).ORCID iD: 0000-0002-4675-7434
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-3689-0899
2019 (English)Report (Other academic)
Place, publisher, year, edition, pages
NLAFET Consortium; Umeå University , 2019. , p. 27
National Category
Computer Sciences
Research subject
Computer Science; Mathematics
Identifiers
URN: urn:nbn:se:umu:diva-168425OAI: oai:DiVA.org:umu-168425DiVA, id: diva2:1396140
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NLAFET
Note

This work is c by the NLAFET Consortium, 2015–2018. Its duplication is allowed only for personal, educational, or research uses.

Available from: 2020-02-25 Created: 2020-02-25 Last updated: 2020-02-26Bibliographically approved

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fulltext(766 kB)65 downloads
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310902af8caa670a0f2a5385b8e4cbab4ed2bf660211be2084f4fc95573005629bcde9598c7a92c4c683a0be4cc362c5118aa9767dfe46c504a08ef0bd93a799
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Karlsson, LarsEljammaly, MahmoudMyllykoski, Mirko

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf