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Parallel Processing and Applied Mathematics pp 123–132Cite as

Extending Gustafson-Barsis’s Law for Dual-Architecture Computing

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9574))

Abstract

This study has investigated how scaled performance is affected by the energy constraints imposed on dual-architecture processors. Theoretical models were developed to extend the Gustafson-Barsis Law by accounting for energy limitations before examining the three processing modes available to hybrid processors: symmetric, asymmetric, and simultaneous asymmetric. Analysis shows that by choosing the optimal chip configuration, energy efficiency and energy savings can be increased considerably.

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Author information

Authors and Affiliations

  1. Parallel Research Lab, Jerusalem, Israel

    Ami Marowka

Authors
  1. Ami Marowka
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Correspondence to Ami Marowka .

Editor information

Editors and Affiliations

  1. Czestochowa University of Technolog, Czestochowa, Poland

    Roman Wyrzykowski

  2. Department of Computer Science, University of Southern California, Marina Del Rey, California, USA

    Ewa Deelman

  3. Electrical Engineering & Comput. Science, University of Tennessee, Knoxville, Tennessee, USA

    Jack Dongarra

  4. Czestochowa University of Technology, Institute of Computer & Information Sci., Czestochowa, Poland

    Konrad Karczewski

  5. Department of Computer Science, AGH University of Science and Technology, Krakow, Poland

    Jacek Kitowski

  6. Systèmes d’informations, Big Data et Rec, AGH University of Science and Technology, Krakow, Poland

    Kazimierz Wiatr

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© 2016 Springer International Publishing Switzerland

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Marowka, A. (2016). Extending Gustafson-Barsis’s Law for Dual-Architecture Computing. In: Wyrzykowski, R., Deelman, E., Dongarra, J., Karczewski, K., Kitowski, J., Wiatr, K. (eds) Parallel Processing and Applied Mathematics. Lecture Notes in Computer Science(), vol 9574. Springer, Cham. https://doi.org/10.1007/978-3-319-32152-3_12

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  • DOI: https://doi.org/10.1007/978-3-319-32152-3_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32151-6

  • Online ISBN: 978-3-319-32152-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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