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Scheduling Moldable Parallel Streaming Tasks on Heterogeneous Platforms with Frequency Scaling
FernUniversität in Hagen, Germany. (Parallelität und VLSI)ORCID iD: 0000-0003-2200-7337
FernUniversität in Hagen, Germany. (Parallelität und VLSI)ORCID iD: 0000-0003-0303-6140
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-5241-0026
2019 (English)In: 2019 27th European Signal Processing Conference (EUSIPCO), IEEE, 2019, p. 1-5Conference paper, Published paper (Refereed)
Abstract [en]

We extend static scheduling of parallelizable tasks to machines with multiple core types, taking differences in performance and power consumption due to task type into account. Next to energy minimization for given deadline, i.e. for given throughput requirement, we consider makespan minimization for given energy or average power budgets. We evaluate our approach by comparing schedules of synthetic task sets for big.LITTLE with other schedulers from literature. We achieve an improvement of up to 33%.

Place, publisher, year, edition, pages
IEEE, 2019. p. 1-5
Series
27TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), ISSN 2076-1465
Keywords [en]
parallel computing, scheduling, mapping, energy efficiency, heterogeneous computer system, integer linear programming, combinatorial optimization
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-168600DOI: 10.23919/EUSIPCO.2019.8903180ISI: 000604567700497Scopus ID: 2-s2.0-8507559932ISBN: 978-9-0827-9703-9 (print)OAI: oai:DiVA.org:liu-168600DiVA, id: diva2:1461463
Conference
2019 27th European Signal Processing Conference (EUSIPCO), A Coruna, Spain, Sep. 2019
Available from: 2020-08-26 Created: 2020-08-26 Last updated: 2024-01-31

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Kessler, Christoph

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CiteExportLink to record
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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