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Performance analysis of parallel constraint-based local search

Published:25 February 2012Publication History
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Abstract

We present a parallel implementation of a constraint-based local search algorithm and investigate its performance results for hard combinatorial optimization problems on two different platforms up to several hundreds of cores. On a variety of classical CSPs benchmarks, speedups are very good for a few tens of cores, and good up to a hundred cores. More challenging problems derived from reallife applications (Costas array) shows even better speedups, nearly optimal up to 256 cores.

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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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