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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Published in:2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing pp. 618 - 619
Main Authors: Trahay, F., Ishikawa, Y., Rue, F., Namyst, R., Faverge, M., Dongarra, J.
Format: Conference Proceeding
Language:English
Japanese
Published: IEEE 01.05.2011
Subjects:
Computational modeling
Hardware
hybrid programming model
Instruments
Libraries
Performance analysis
Supercomputers
trace generation
ISBN:1457701294, 9781457701290
Online Access:Get full text
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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.
AbstractList 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.
Author Faverge, M.
Dongarra, J.
Trahay, F.
Namyst, R.
Ishikawa, Y.
Rue, F.
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  organization: Univ. of Tennessee, Knoxville, TN, USA
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  surname: Dongarra
  fullname: Dongarra, J.
  email: dongarra@eecs.utk.edu
  organization: Univ. of Tennessee, Knoxville, TN, USA
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Snippet Modern supercomputers with multi-core nodes enhanced by accelerators, as well as hybrid programming models introduce more complexity in modern applications....
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SubjectTerms Computational modeling
Hardware
hybrid programming model
Instruments
Libraries
Performance analysis
Supercomputers
trace generation
Title EZTrace: A Generic Framework for Performance Analysis
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