EZTrace: a generic framework for performance analysis

François Trahay; François Rue; Mathieu Faverge; Yutaka Ishikawa; Raymond Namyst; Jack Dongarra

inria-00587216, version 1

EZTrace: a generic framework for performance analysis

François Trahay () ^1, 2, François Rue ³, Mathieu Faverge ⁴, Yutaka Ishikawa ², Raymond Namyst^a^, 5, 6, Jack Dongarra () ⁴

IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) (2011)

Résumé : 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.

a – INRIA
1 : Riken
RIKEN
2 : Department of Information and Communication Engineering
University of Tokyo – Graduate School of Information Science and Technology
3 : SED (INRIA Bordeaux - Sud-Ouest)
INRIA : BORDEAUX - SUD-OUEST
4 : Innovative Computing Laboratory (ICL)
University of Tennessee
5 : Laboratoire Bordelais de Recherche en Informatique (LaBRI)
CNRS : UMR5800 – Université Sciences et Technologies - Bordeaux I – École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB) – Université Victor Segalen - Bordeaux II
6 : RUNTIME (INRIA Bordeaux - Sud-Ouest)
INRIA – CNRS : UMR5800 – Université Sciences et Technologies - Bordeaux I – École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)

inria-00587216, version 1
http://hal.inria.fr/inria-00587216
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Contributeur : François Trahay <>
Soumis le : Mercredi 20 Avril 2011, 17:00:13
Dernière modification le : Jeudi 21 Avril 2011, 08:43:15

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%% inria-00587216, version 1
%% http://hal.inria.fr/inria-00587216
@inproceedings{trahay:inria-00587216,
    hal_id = {inria-00587216},
    url = {http://hal.inria.fr/inria-00587216},
    title = {{EZTrace: a generic framework for performance analysis}},
    author = {Trahay, Fran{\c c}ois and Rue, Fran{\c c}ois and Faverge, Mathieu and Ishikawa, Yutaka and Namyst, Raymond and Dongarra, Jack},
    abstract = {{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.}},
    keywords = {performance analysis ; hybrid programming models ; trace generation},
    language = {Anglais},
    affiliation = {Riken , Department of Information and Communication Engineering , SED - INRIA Bordeaux - Sud-Ouest , Innovative Computing Laboratory - ICL , Laboratoire Bordelais de Recherche en Informatique - LaBRI , RUNTIME - INRIA Bordeaux - Sud-Ouest},
    booktitle = {{IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)}},
    address = {Newport Beach, CA, {\'E}tats-Unis},
    note = {Poster Session },
    audience = {internationale },
    year = {2011},
    month = May,
    pdf = {http://hal.inria.fr/inria-00587216/PDF/short\_paper\_eztrace\_ccgrid2011.pdf},
}

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