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How to match in parallel: approximation algorithms and multicore machines

Published:15 November 2015Publication History

ABSTRACT

Computing a matching in a graph is one of "the hardest simple problems" in computer science. It is simple since most variants of matching can be solved in polynomial time, yet hard because the running times are high and the algorithms are complex. It is even more challenging to design parallel algorithms for matching, since many algorithms rely on searching for long paths in a graph, or implicitly communicate information along long paths, and thus have little concurrency.

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  • Published in

    cover image ACM Conferences
    IA3 '15: Proceedings of the 5th Workshop on Irregular Applications: Architectures and Algorithms
    November 2015
    79 pages
    ISBN:9781450340014
    DOI:10.1145/2833179

    Copyright © 2015 Owner/Author

    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 15 November 2015

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    Acceptance Rates

    IA3 '15 Paper Acceptance Rate6of24submissions,25%Overall Acceptance Rate18of67submissions,27%
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