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Runtime Resource Management with Workload Prediction
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.
Gears Leo AB, Sweden.
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.
2019 (English)In: PROCEEDINGS OF THE 2019 56TH ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC), ASSOC COMPUTING MACHINERY , 2019Conference paper, Published paper (Refereed)
Abstract [en]

Modern embedded platforms need sophisticated resource managers in order to utilize the heterogeneous computational resources efficiently. Moreover, such platforms are exposed to fluctuating workloads unpredictable at design time. In such a context, predicting the incoming workload might improve the efficiency of resource management. But is this true? And, if yes, how significant is this improvement? How accurate does the prediction need to be in order to improve decisions instead of doing harm? By proposing a prediction-based resource manager aimed at minimizing energy consumption while meeting task deadlines and by running extensive experiments, we try to answer the above questions.

Place, publisher, year, edition, pages
ASSOC COMPUTING MACHINERY , 2019.
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:liu:diva-160454DOI: 10.1145/3316781.3317902ISI: 000482058200169ISBN: 978-1-4503-6725-7 (electronic)OAI: oai:DiVA.org:liu-160454DiVA, id: diva2:1353413
Conference
56th ACM/EDAC/IEEE Design Automation Conference (DAC)
Available from: 2019-09-23 Created: 2019-09-23 Last updated: 2019-09-23

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • 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