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Revealing parallel scans and reductions in sequential loops through function reconstruction

Published:10 February 2018Publication History
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Abstract

Many sequential loops are actually scans or reductions and can be parallelized across iterations despite the loop-carried dependences. In this work, we consider the parallelization of such scan/reduction loops, and propose a practical runtime approach called sampling-and-reconstruction to extract the hidden scan/reduction patterns in these loops.

References

  1. Azadeh Farzan and Victor Nicolet. 2017. Synthesis of Divide and Conquer Parallelism for Loops (PLDI 2017). 540--555. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Veselin Raychev, Madanlal Musuvathi, and Todd Mytkowicz. 2015. Parallelizing User-defined Aggregations Using Symbolic Execution (SOSP '15). Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Revealing parallel scans and reductions in sequential loops through function reconstruction

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      • Published in

        cover image ACM SIGPLAN Notices
        ACM SIGPLAN Notices  Volume 53, Issue 1
        PPoPP '18
        January 2018
        426 pages
        ISSN:0362-1340
        EISSN:1558-1160
        DOI:10.1145/3200691
        Issue’s Table of Contents
        • cover image ACM Conferences
          PPoPP '18: Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
          February 2018
          442 pages
          ISBN:9781450349826
          DOI:10.1145/3178487

        Copyright © 2018 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 10 February 2018

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