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Characterization and Enhancement of Static Mapping Heuristics for Heterogeneous Systems

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High Performance Computing — HiPC 2000 (HiPC 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1970))

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Abstract

Heterogeneous computing environments have become attractive platforms to schedule computationally intensive jobs. We consider the problem of mapping independent tasks onto machines in a heterogeneous environment where expected execution time of each task on each machine is known. Although this problem has been much studied in the past, we derive new insights into the effectiveness of different mapping heuristics by use of two metrics - efficacy (E) and utilization (U). Whereas there is no consistent rank ordering of the various previously proposed mapping heuristics on the basis of total task completion time, we find a very consistent rank ordering of the mapping schemes with respect to the new metrics. Minimization of total completion time requires maximization of the product E×U. Using the insights provided by the metrics, we develop a new matching heuristic that produces high-quality mappings using much less time than the most effective previously proposed schemes.

This work was supported in part by a grant from the Ohio Board of Regents.

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Author information

Authors and Affiliations

  1. Dept. of Computer and Information Science, The Ohio State University, 43210-1277, Columbus, OH

    Praveen Holenarsipur, Vladimir Yarmolenko, Jose Duato, D. K. Panda & P. Sadayappan

Authors
  1. Praveen Holenarsipur
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  2. Vladimir Yarmolenko
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  3. Jose Duato
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  4. D. K. Panda
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  5. P. Sadayappan
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Editor information

Editors and Affiliations

  1. DAC-UPC,Computer Architecture Department, Technical University of Catalonia, Campus Nord,D6,Jordi Girona,1-3, Barcelona, Spain

    Mateo Valero

  2. Department of EE-Systems Computer Engineering Division, University of Southern California, 3740 McClintok Ave,EEB 200C, 90089-2562, Los Angeles, CA, USA

    Viktor K. Prasanna

  3. Indian Institute of Science, Sir C.V.Raman Avenue, 560012, Bangalore, India

    Sriram Vajapeyam

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© 2000 Springer-Verlag Berlin Heidelberg

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Holenarsipur, P., Yarmolenko, V., Duato, J., Panda, D.K., Sadayappan, P. (2000). Characterization and Enhancement of Static Mapping Heuristics for Heterogeneous Systems. In: Valero, M., Prasanna, V.K., Vajapeyam, S. (eds) High Performance Computing — HiPC 2000. HiPC 2000. Lecture Notes in Computer Science, vol 1970. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44467-X_4

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  • DOI: https://doi.org/10.1007/3-540-44467-X_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41429-2

  • Online ISBN: 978-3-540-44467-1

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