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Fast Synthesis of Power and Temperature Profiles for the Development of Data-Driven Resource Managers
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.
Department of Electrical and Computer Engineering, Carnegie Mellon University, USA.
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.
2017 (English)Report (Other academic)
Abstract [en]

The goal of this work is to facilitate the development of proactive power- and temperature-aware resource managers that leverage machine learning in order to attain their objectives. In this context, the availability of sufficiently large amounts of relevant data, which are essential for learning and, therefore, exploration of research ideas, is elusive. In order to fulfill the need, we present a toolchain for fast generation of realistic power and temperature profiles of computer systems. The toolchain provides profuse representative data to learn from during development stages. The overreaching objective is to help research by making it tractable to experiment with the highly promising but data-demanding state-of-the-art techniques for prediction.

Place, publisher, year, edition, pages
Linköpng: Linköping University Electronic Press, 2017. , p. 6
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-140757OAI: oai:DiVA.org:liu-140757DiVA, id: diva2:1140334
Available from: 2017-09-12 Created: 2017-09-12 Last updated: 2018-01-13Bibliographically approved

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Ukhov, IvanEles, Petru IonPeng, Zebo

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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