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A Review of Machine Learning and Meta-heuristic Methods for Scheduling Parallel Computing Systems
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (Parallel Computing)
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (Parallel Computing)
IBM Research, Brazil.
Cracow University of Technology, Poland.
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2018 (English)In: Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications LOPAL 2018, New York, NY, USA: Association for Computing Machinery (ACM), 2018, article id 5Conference paper, Published paper (Refereed)
Abstract [en]

Optimized software execution on parallel computing systems demands consideration of many parameters at run-time. Determining the optimal set of parameters in a given execution context is a complex task, and therefore to address this issue researchers have proposed different approaches that use heuristic search or machine learning. In this paper, we undertake a systematic literature review to aggregate, analyze and classify the existing software optimization methods for parallel computing systems. We review approaches that use machine learning or meta-heuristics for scheduling parallel computing systems. Additionally, we discuss challenges and future research directions. The results of this study may help to better understand the state-of-the-art techniques that use machine learning and meta-heuristics to deal with the complexity of scheduling parallel computing systems. Furthermore, it may aid in understanding the limitations of existing approaches and identification of areas for improvement.

Place, publisher, year, edition, pages
New York, NY, USA: Association for Computing Machinery (ACM), 2018. article id 5
Keywords [en]
Parallel computing, machine learning, meta-heuristics, scheduling
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:lnu:diva-76933DOI: 10.1145/3230905.3230906Scopus ID: 2-s2.0-85053484990ISBN: 978-1-4503-5304-5 (print)OAI: oai:DiVA.org:lnu-76933DiVA, id: diva2:1233316
Conference
International Conference on Learning and Optimization Algorithms: Theory and Applications (LOPAL'18), Rabat, Morocco, May 02 - 05, 2018
Available from: 2018-07-17 Created: 2018-07-17 Last updated: 2019-08-29Bibliographically approved

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Memeti, SuejbPllana, Sabri

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • 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