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The boat hull model: adapting the roofline model to enable performance prediction for parallel computing

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Published:25 February 2012Publication History
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Abstract

Multi-core and many-core were already major trends for the past six years, and are expected to continue for the next decades. With these trends of parallel computing, it becomes increasingly difficult to decide on which architecture to run a given application.

In this work, we use an algorithm classification to predict performance prior to algorithm implementation. For this purpose, we modify the roofline model to include class information. In this way, we enable architectural choice through performance prediction prior to the development of architecture specific code. The new model, the boat hull model, is demonstrated using a GPU as a target architecture. We show for 6 example algorithms that performance is predicted accurately without requiring code to be available.

References

  1. S. W. Keckler, W. J. Dally, B. Khailany, M. Garland, and D. Glasco. GPUs and the Future of Parallel Computing. IEEE Micro, 31:7--17, September 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. C. Nugteren and H. Corporaal. A Modular and Parameterisable Classification of Algorithms. Technical Report No. ESR-2011-02, Eindhoven University of Technology, 2011.Google ScholarGoogle Scholar
  3. S. Williams, A. Waterman, and D. Patterson. Roofline: an Insightful Visual Performance Model for Multicore Architectures. Communications of the ACM, 52:65--76, April 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. The boat hull model: adapting the roofline model to enable performance prediction for parallel computing

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      • Published in

        cover image ACM SIGPLAN Notices
        ACM SIGPLAN Notices  Volume 47, Issue 8
        PPOPP '12
        August 2012
        334 pages
        ISSN:0362-1340
        EISSN:1558-1160
        DOI:10.1145/2370036
        Issue’s Table of Contents
        • cover image ACM Conferences
          PPoPP '12: Proceedings of the 17th ACM SIGPLAN symposium on Principles and Practice of Parallel Programming
          February 2012
          352 pages
          ISBN:9781450311601
          DOI:10.1145/2145816

        Copyright © 2012 Authors

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 25 February 2012

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