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  1. Proceedings of the Third Conference on Partitioned Global Address Space Programing Models (PGAS '09)
  2. A simple parallel approximation algorithm for maximum weight matching
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Computational science and engineering requirements for new languages: the need and the barriers
Coarrays in Fortran 2008
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A simple parallel approximation algorithm for maximum weight matching
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A simple parallel approximation algorithm for maximum weight matching

Content Provider ACM Digital Library
Author Manne, Fredrik Merkey, Phillip Thorsen, Alicia
Abstract A linear time approximation algorithm for the weighted matching problem is presented using the partitioned global address space model (PGAS). The problem of finding a maximum weight matching in a graph is central to many areas of combinatorial scientific computing. Even though the exact algorithm runs in polynomial time, a fast approximate solution is often sufficient. Drake and Hougardy developed a parallel 1 -- ε approximation algorithm for the PRAM model that is not feasible in practice because it requires $O(n^{8/ε})$ processes. The PGAS model enables an intuitive parallel implementation of a linear 2/3 -- ε approximation algorithm for the weighted matching problem. Through the use of atomic memory operations, a parallel algorithm is developed that is very similar to its serial counterpart.
Starting Page 1
Ending Page 6
Page Count 6
File Format PDF
ISBN 9781605588360
DOI 10.1145/1809961.1809978
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2009-10-05
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Pgas Maximum weight matching
Content Type Text
Resource Type Article
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