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Performance Analysis for MPI Applications with SCALEA

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Recent Advances in Parallel Virtual Machine and Message Passing Interface (EuroPVM/MPI 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2474))

Abstract

The performance of message passing programs can be challenging to comprehend. In previous work we have introduced SCALEA, which is a performance instrumentation, measurement, analysis, and visualization tool for parallel and distributed programs. In this paper we report on experiences with SCALEA for performance analysis of two realistic MPI codes taken from laser physics and material science. SCALEA has been used to automatically instrument - based on user provided directives - the source codes, to compute performance overheads, to relate them to the source code, and to provide a range of performance diagrams in order to explain performance problems as part of a graphical user interface. Multiple-experiment performance analysis allows to compare and to evaluate the performance outcome of several experiments which have been conducted on a SMP cluster architecture.

This research is partially supported by the Austrian Science Fund as part of the Aurora Project under contract SFBF1104.

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Author information

Authors and Affiliations

  1. Institute for Software Science, University of Vienna, Liechtensteinstr. 22, A-1090, Vienna, Austria

    Hong-Linh Truong & Thomas Fahringer

  2. Photonics Institute, Technical University Vienna, Gusshausstrasse 27/387, A-1040, Vienna, Austria

    Michael Geissler

  3. Institute of Physical and Theoretical Chemistry, Technical University Vienna, Getreidemarkt 9/156, A-1060, Vienna, Austria

    Georg Madsen

Authors
  1. Hong-Linh Truong
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  2. Thomas Fahringer
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  3. Michael Geissler
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  4. Georg Madsen
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Editor information

Editors and Affiliations

  1. Abteilung für Graphische und Parallele Datenverarbeitung (GUP) Institut für Technische Informatik und Telematik, Johannes Kepler Universität Linz, Altenbergstr. 69, 4040, Linz, Austria

    Dieter Kranzlmüller  & Jens Volkert  & 

  2. Computer and Automation Research Institute, MTA SZTAKI, Hungarian Academy of Sciences, Victor Hugo u. 18-22, 1132, Budapest, Hungary

    Peter Kacsuk

  3. Computer Science Department Innovative Computing Laboratory, University of Tennessee, 1122 Volunteer Blvd, Knoxville, TN, 37996-3450, USA

    Jack Dongarra

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© 2002 Springer-Verlag Berlin Heidelberg

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Truong, HL., Fahringer, T., Geissler, M., Madsen, G. (2002). Performance Analysis for MPI Applications with SCALEA. In: Kranzlmüller, D., Volkert, J., Kacsuk, P., Dongarra, J. (eds) Recent Advances in Parallel Virtual Machine and Message Passing Interface. EuroPVM/MPI 2002. Lecture Notes in Computer Science, vol 2474. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45825-5_60

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  • DOI: https://doi.org/10.1007/3-540-45825-5_60

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44296-7

  • Online ISBN: 978-3-540-45825-8

  • eBook Packages: Springer Book Archive

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