TRAHAY, François; RUE, François; FAVERGE, Mathieu; ISHIKAWA, Yutaka; NAMYST, Raymond; DONGARRA, Jack

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TRAHAY, François
Riken
Department of Information and Communication Engineering

RUE, François
Service Expérimentation et Développement [Bordeaux] [SED]

FAVERGE, Mathieu
Innovative Computing Laboratory [Knoxville] [ICL]

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IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2011-05-23, Newport Beach, CA. 2011-05

Résumé en anglais

Modern supercomputers with multi-core nodes enhanced by accelerators, as well as hybrid programming models, introduce more complexity in modern applications. Exploiting efficiently all the resources requires a complex analysis of the performance of applications in order to detect time-consuming or idle sections. We present eztrace, a generic trace generation framework that aims at providing a simple way to analyze applications. eztrace is based on plugins that allow it to trace different programming models such as MPI, pthread or OpenMP as well as user-defined libraries or applications. This framework uses two steps: one to collect the basic information during execution and one post-mortem analysis. This permits tracing the execution of applications with low overhead while allowing to refine the analysis after the execution of the program. We also present a simple script language for \eztrace that gives the user the opportunity to easily define the functions to instrument without modifying the source code of the application.< Réduire

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performance analysis

hybrid programming models

trace generation

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EZTrace: a generic framework for performance analysis

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