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Parallel performance evaluation: The medea tool

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High-Performance Computing and Networking (HPCN-Europe 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1067))

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Abstract

The performance of parallel programs is influenced by the multiplicity of hardware and software components involved in their executions. Experimental approaches, where trace files collected at run-time by monitors are the basis of the analyses, allow a detailed evaluation of the performance. Quantitative as well as qualitative information related to the behavior of the programs are required. Medea is a parallel performance evaluation tool which provides various types of statistical and numerical techniques integrated with visualization facilities such that both quantitative and qualitative descriptions of the programs are obtained. A large variety of studies dealing with tuning, performance debugging, and code optimization profitably benefits of Medea.

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Author information

Authors and Affiliations

  1. Dipartimento di Informatica e Sistemistica, Università di Pavia, Via Ferrata 1, I-27100, Pavia, Italia

    M. Calzarossa, L. Massari, A. Merlo & D. Tessera

Authors
  1. M. Calzarossa
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  2. L. Massari
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  3. A. Merlo
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  4. D. Tessera
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Editor information

Heather Liddell Adrian Colbrook Bob Hertzberger Peter Sloot

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© 1996 Springer-Verlag Berlin Heidelberg

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Calzarossa, M., Massari, L., Merlo, A., Tessera, D. (1996). Parallel performance evaluation: The medea tool. In: Liddell, H., Colbrook, A., Hertzberger, B., Sloot, P. (eds) High-Performance Computing and Networking. HPCN-Europe 1996. Lecture Notes in Computer Science, vol 1067. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61142-8_592

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  • DOI: https://doi.org/10.1007/3-540-61142-8_592

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61142-4

  • Online ISBN: 978-3-540-49955-8

  • eBook Packages: Springer Book Archive

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