Accurate analytical performance model of communications in MPI applications

This paper presents a new LogP-based model, called LoOgGP, which allows an accurate characterization of MPI applications based on microbenchmark measurements. This new model is an extension of LogP for long messages in which both overhead and gap parameters perform a linear dependency with message s...

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Bibliographic Details
Published in2009 IEEE International Symposium on Parallel & Distributed Processing pp. 1 - 8
Main Authors Martinez, D.R., Cabaleiro, J.C., Pena, T.F., Rivera, F.F., Blanco, V.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2009
Subjects
Analytical models
Application software
Computational efficiency
Computer science
Deconvolution
Extraterrestrial measurements
Multiprocessor interconnection networks
Performance analysis
Predictive models
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Summary:This paper presents a new LogP-based model, called LoOgGP, which allows an accurate characterization of MPI applications based on microbenchmark measurements. This new model is an extension of LogP for long messages in which both overhead and gap parameters perform a linear dependency with message size. The LoOgGP model has been fully integrated into a modelling framework to obtain statistical models of parallel applications, providing the analyst with an easy and automatic tool for LoOgGP parameter set assessment to characterize communications. The use of LoOgGP model to obtain a statistical performance model of an image deconvolution application is illustrated as a case of study.
ISBN:9781424437511
1424437512
ISSN:1530-2075
DOI:10.1109/IPDPS.2009.5161175