EZTrace: A Generic Framework for Performance Analysis
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 secti...
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| Veröffentlicht in: | 2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing S. 618 - 619 |
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| Hauptverfasser: | , , , , , |
| Format: | Tagungsbericht |
| Sprache: | Englisch Japanisch |
| Veröffentlicht: |
IEEE
01.05.2011
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| Schlagworte: | |
| ISBN: | 1457701294, 9781457701290 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | 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. |
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| ISBN: | 1457701294 9781457701290 |
| DOI: | 10.1109/CCGrid.2011.83 |