Tuning application in a multi-cluster environment

Authors:
Eduardo Argollo;Adriana Gaudiani;Dolores Rexachs;Emilio Luque
Affiliations:
Computer Architecture and Operating System Department, Universidad Autónoma de Barcelona, Barcelona, Spain;Instituto de Ciências, Informática, Universidad Nacional de General Sarmiento, Buenos Aires, Argentina;Computer Architecture and Operating System Department, Universidad Autónoma de Barcelona, Barcelona, Spain;Computer Architecture and Operating System Department, Universidad Autónoma de Barcelona, Barcelona, Spain
Venue:
Euro-Par'06 Proceedings of the 12th international conference on Parallel Processing
Year:
2006

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Abstract

The joining of geographically distributed heterogeneous clusters of workstations through the Internet can be a simple and effective approach to speed up a parallel application execution. This paper describes a methodology to migrate a parallel application from a single-cluster to a collection of clusters, guaranteeing a minimum level of efficiency. This methodology is applied to a parallel scientific application to use three geographically scattered clusters located in Argentina, Brazil and Spain. Experimental results prove that the speedup and efficiency estimations provided by this methodology are more than 90% precision. Without the tuning process of the application a 45% of the maximum speedup is obtained whereas a 94% of that maximum speedup is attained when a tuning process is applied. In both cases efficiency is over 90%.