@inproceedings{fd5654bb48b145d0940812bcd185f14e,
title = "EZTrace: A generic framework for performance analysis",
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 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. eztrace 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. We also present a 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 = "hybrid programming model, performance analysis, trace generation",
author = "Franois Trahay and Fran{\c c}ois Rue and Mathieu Faverge and Yutaka Ishikawa and Raymond Namyst and Jack Dongarra",
year = "2011",
month = aug,
day = "10",
doi = "10.1109/CCGrid.2011.83",
language = "English",
isbn = "9780769543956",
series = "Proceedings - 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2011",
pages = "618--619",
booktitle = "Proceedings - 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2011",
note = "11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2011 ; Conference date: 23-05-2011 Through 26-05-2011",
}