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Assessing Contention Effects on MPI_Alltoall Communications

Identifieur interne : 003187 ( Istex/Curation ); précédent : 003186; suivant : 003188

Assessing Contention Effects on MPI_Alltoall Communications

Auteurs : Luiz Angelo Steffenel [France] ; Maxime Martinasso [France] ; Denis Trystram [France]

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RBID : ISTEX:D32DC717FB9BCFA9C779C992E6FB214EFC03D4C1

Abstract

Abstract: One of the most important collective communication patterns used in scientific applications is the complete exchange, also called All-to-All. Although efficient algorithms have been studied for specific networks, general solutions like those available in well-known MPI distributions (e.g. the MPI_Alltoall operation) are strongly influenced by the congestion of network resources. In this paper we present an integrated approach to model the performance of the All-to-All collective operation, which consists in identifying a contention signature that characterizes a given network environment, using it to augment a contention-free communication model. This approach, assessed by experimental results, allows an accurate prediction of the performance of the All-to-All operation over different network architectures with a small overhead.

Url:
DOI: 10.1007/978-3-540-72360-8_36

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ISTEX:D32DC717FB9BCFA9C779C992E6FB214EFC03D4C1

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<div type="abstract" xml:lang="en">Abstract: One of the most important collective communication patterns used in scientific applications is the complete exchange, also called All-to-All. Although efficient algorithms have been studied for specific networks, general solutions like those available in well-known MPI distributions (e.g. the MPI_Alltoall operation) are strongly influenced by the congestion of network resources. In this paper we present an integrated approach to model the performance of the All-to-All collective operation, which consists in identifying a contention signature that characterizes a given network environment, using it to augment a contention-free communication model. This approach, assessed by experimental results, allows an accurate prediction of the performance of the All-to-All operation over different network architectures with a small overhead.</div>
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