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A Model for Task Repartioning under Data Replication

Authors Cevdet Aykanat, Erkan Okuyan, B. Barla Cambazoglu



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Author Details

Cevdet Aykanat
Erkan Okuyan
B. Barla Cambazoglu

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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)
https://doi.org/10.4230/DagSemProc.09061.2

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.
Keywords
  • Task repartitioning
  • data replication
  • hypergraph partitioning with fixed vertices
  • assignment flow network

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