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URN: urn:nbn:de:0030-drops-20903
URL: http://drops.dagstuhl.de/opus/volltexte/2009/2090/
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Aykanat, Cevdet ; Okuyan, Erkan ; Cambazoglu, B. Barla

A Model for Task Repartioning under Data Replication

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Abstract

We propose a two-phase model for solving the problem of task repartitioning under data replication with memory constraints. The hypergraph-partitioning-based model proposed for the first phase aims to minimize the total message volume that will be incurred due to the replication/migration of input data while maintaining balance on computational and receive-volume loads of processors. The network-flow-based model proposed for the second phase aims to minimize the maximum message volume handled by processors via utilizing the flexibility in assigning send-communication tasks to processors, which is introduced by data replication. The validity of our proposed model is verified on parallelization of a direct volume rendering algorithm.

BibTeX - Entry

@InProceedings{aykanat_et_al:DSP:2009:2090,
  author =	{Cevdet Aykanat and Erkan Okuyan and B. Barla Cambazoglu},
  title =	{A Model for Task Repartioning under Data Replication},
  booktitle =	{Combinatorial Scientific Computing},
  year =	{2009},
  editor =	{Uwe Naumann and Olaf Schenk and Horst D. Simon and Sivan Toledo},
  number =	{09061},
  series =	{Dagstuhl Seminar Proceedings},
  ISSN =	{1862-4405},
  publisher =	{Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2009/2090},
  annote =	{Keywords: Task repartitioning, data replication, hypergraph partitioning with fixed vertices, assignment flow network}
}

Keywords: Task repartitioning, data replication, hypergraph partitioning with fixed vertices, assignment flow network
Seminar: 09061 - Combinatorial Scientific Computing
Issue Date: 2009
Date of publication: 24.07.2009

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