inria-00071786, version 1
Load-balancing iterative computations in heterogeneous clusters with shared communication links
Arnaud Legrand 1Hélène RenardYves RobertFrédéric Vivien
N° RR-4800 (2003)
Résumé : 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.
- 1 : REMAP (INRIA Rhône-Alpes / LIP Laboratoire de l'Informatique du Parallélisme)
- INRIA – École Normale Supérieure - Lyon – CNRS : UMR5668 – LIP
- Domaine : Informatique/Autre
- Mots-clés : HETEROGENEOUS CLUSTERS / LOAD-BALANCING / SHARED COMMUNICATION LINKS / COMPLEXITY
- Référence interne : RR-4800
- inria-00071786, version 1
- http://hal.inria.fr/inria-00071786
- oai:hal.inria.fr:inria-00071786
- Contributeur : Rapport De Recherche Inria
- Soumis le : Mardi 23 Mai 2006, 18:46:39
- Dernière modification le : Mercredi 31 Mai 2006, 14:24:25






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