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A Model for Task Repartioning under Data Replication

Authors: Cevdet Aykanat, Erkan Okuyan, and B. Barla Cambazoglu

Published in: Dagstuhl Seminar Proceedings, Volume 9061, Combinatorial Scientific Computing (2009)

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.

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Cevdet Aykanat, Erkan Okuyan, and B. Barla Cambazoglu. A Model for Task Repartioning under Data Replication. In Combinatorial Scientific Computing. Dagstuhl Seminar Proceedings, Volume 9061, pp. 1-3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{aykanat_et_al:DagSemProc.09061.2,
  author =	{Aykanat, Cevdet and Okuyan, Erkan and Cambazoglu, B. Barla},
  title =	{{A Model for Task Repartioning under Data Replication}},
  booktitle =	{Combinatorial Scientific Computing},
  pages =	{1--3},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9061},
  editor =	{Uwe Naumann and Olaf Schenk and Horst D. Simon and Sivan Toledo},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.09061.2},
  URN =		{urn:nbn:de:0030-drops-20903},
  doi =		{10.4230/DagSemProc.09061.2},
  annote =	{Keywords: Task repartitioning, data replication, hypergraph partitioning with fixed vertices, assignment flow network}
}

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A Model for Task Repartioning under Data Replication

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