Mapping and Load-Balancing Iterative Computations on Heterogeneous Clusters - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2003

Mapping and Load-Balancing Iterative Computations on Heterogeneous Clusters

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.

Dates et versions

hal-00789450 , version 1 (18-02-2013)

Identifiants

Citer

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, pp.586―594, ⟨10.1007/978-3-540-39924-7_79⟩. ⟨hal-00789450⟩
93 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More