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Gregory Mounie

Publications and source records attributed to Gregory Mounie.

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Identifying Logical Homogeneous Clusters for Efficient Wide-area Communications

Recently, many works focus on the implementation of collective communication operations adapted to wide area computational systems, like computational Grids or global-computing. Due to the inherently heterogeneity of such environments, most works separate "clusters" in different hierarchy levels. to better model the communication. However, in our opinion, such works do not give enough attention to the delimitation of such clusters, as they normally use the locality or the IP subnet from the machines to delimit a cluster without verifying the "homogeneity" of such clusters. In this paper, we describe a strategy to gather network information from different local-area networks and to construct "logical homogeneous clusters", better suited to the performance modelling.

cs.DC

Fast Tuning of Intra-Cluster Collective Communications

Recent works try to optimise collective communication in grid systems focusing mostly on the optimisation of communications among different clusters. We believe that intra-cluster collective communications should also be optimised, as a way to improve the overall efficiency and to allow the construction of multi-level collective operations. Indeed, inside homogeneous clusters, a simple optimisation approach rely on the comparison from different implementation strategies, through their communication models. In this paper we evaluate this approach, comparing different implementation strategies with their predicted performances. As a result, we are able to choose the communication strategy that better adapts to each network environment.

cs.DC

Performance Characterisation of Intra-Cluster Collective Communications

Although recent works try to improve collective communication in grid systems by separating intra and inter-cluster communication, the optimisation of communications focus only on inter-cluster communications. We believe, instead, that the overall performance of the application may be improved if intra-cluster collective communications performance is known in advance. Hence, it is important to have an accurate model of the intra-cluster collective communications, which provides the necessary evidences to tune and to predict their performance correctly. In this paper we present our experience on modelling such communication strategies. We describe and compare different implementation strategies with their communication models, evaluating the models' accuracy and describing the practical challenges that can be found when modelling collective communications.

cs.DC