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Parallel and Distributed Processing Symposium, International (2001)
San Francisco, California, USA
Apr. 23, 2001 to Apr. 27, 2001
ISSN: 1530-2075
ISBN: 0-7695-0990-8
pp: 30121
ABSTRACT
Graph partitioning is an important tool for dividing work amongst processors of a parallel machine, but it is unsuitable for some important applications. Specifically, graph partitioning requires the work per processor to be a simple sum of vertex weights. For many applications, this assumption is not true - the work (or memory) is a complex function of the partition. In this paper we describe a general framework for addressing such partitioning problems and investigate its utility on two applications -partitioning so that overlapped subdomains are balanced and partitioning to minimize the sum of computation plus communication time.
INDEX TERMS
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CITATION
Ali Pinar, Bruce Hendrickson, "Partitioning for Complex Objectives", Parallel and Distributed Processing Symposium, International, vol. 03, no. , pp. 30121, 2001, doi:10.1109/IPDPS.2001.925098
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