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1 GRAND-LARGE - Global parallel and distributed computing LRI - Laboratoire de Recherche en Informatique, LIFL - Laboratoire d-Informatique Fondamentale de Lille, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623 2 LRI - Laboratoire de Recherche en Informatique

Abstract : Large Grids are build by aggregating smaller parallel machines through a public long-distance interconnection network such as the Internet. Therefore, their structure is intrinsically hierarchical. Each level of the network hierarchy gives performances which differ from the other levels in terms of latency and bandwidth. MPI is the de facto standard for programming parallel machines, therefore an attractive solution for programming parallel applications on this kind of grids. However, because of the aforementioned differences of communication performances, the application continuously communicates back and forth between clusters, with a significant impact on performances. In this report, we present an extension of the information provided by the run-time environment of an MPI library, a set of efficient collective operations for grids and a methodology to organize communication patterns within applications with respect to the underlying physical topology, and implement it in a geophysics application.

Keywords : computational grids message passing collective operations MPI

Autor: Camille Coti - Thomas Herault - Franck Cappello -



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