Mapping and Load-Balancing Iterative Computations on Heterogeneous Clusters

Abstract : This paper is devoted to mapping iterative algorithms onto heterogeneous clusters. The application data is partitioned over the processors, which are arranged along a virtual ring. At each iteration, independent calculations are carried out in parallel, and some communications take place between consecutive processors in the ring. The question is to determine how to slice the application data into chunks, and to assign these chunks to the processors, so that the total execution time is minimized. One major difficulty is to embed a processor ring into a network that typically is not fully connected, so that some communication links have to be shared by several processor pairs. We establish a complexity result that assesses the difficulty of this problem, and we design a practical heuristic that provides efficient mapping, routing, and data distribution schemes.
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Communication dans un congrès
Euro-PVM-MPI-2003: Recent Advances in Parallel Virtual Machine and Message Passing Interface, 2003, Unknown, Springer Verlag, pp.586―594, 2003, LNCS 2840. <10.1007/978-3-540-39924-7_79>
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https://hal.inria.fr/hal-00789450
Contributeur : Arnaud Legrand <>
Soumis le : lundi 18 février 2013 - 11:51:42
Dernière modification le : mercredi 14 décembre 2016 - 01:06:06

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Arnaud Legrand, Hélène Renard, Yves Robert, Frédéric Vivien. Mapping and Load-Balancing Iterative Computations on Heterogeneous Clusters. Euro-PVM-MPI-2003: Recent Advances in Parallel Virtual Machine and Message Passing Interface, 2003, Unknown, Springer Verlag, pp.586―594, 2003, LNCS 2840. <10.1007/978-3-540-39924-7_79>. <hal-00789450>

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