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International Parallel and Distributed Processing Symposium

IPDPS 2000: Parallel and Distributed Processing pp 277–284Cite as

PDRS: A Performance Data Representation System

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1800))

Abstract

We present the design and development of a Performance Data Representation System (PDRS) for scalable parallel computing. PDRS provides decision support that helps users find the right data to understand their programs’ performance and to select appropriate ways to display and analyze it. PDRS is an attempt to provide appropriate assistant to help programmers identifying performance bottlenecks and optimizing their programs.

This work was supported in part by National Science Foundation under NSF grant ASC-9720215 and CCR-9972251.

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, Louisiana State University, Baton Rouge, LA, 70803, USA

    Xian-He Sun & Xingfu Wu

  2. Dept. of Computer Science, Illinois Institute of Technology, Chicago, IL, 60616, USA

    Xian-He Sun

  3. Dept. of Electrical and Computer Engineering, Northwestern University, Evanston, IL, 60208, USA

    Xingfu Wu

Authors
  1. Xian-He Sun
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  2. Xingfu Wu
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Editor information

Editors and Affiliations

  1. Centre Universitaire d’Informatique, Université de Genève, 24, rue Général Dufour, CH-1211, Genève 4, Switzerland

    José Rolim

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© 2000 Springer-Verlag Berlin Heidelberg

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Sun, XH., Wu, X. (2000). PDRS: A Performance Data Representation System. In: Rolim, J. (eds) Parallel and Distributed Processing. IPDPS 2000. Lecture Notes in Computer Science, vol 1800. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45591-4_37

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  • DOI: https://doi.org/10.1007/3-540-45591-4_37

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67442-9

  • Online ISBN: 978-3-540-45591-2

  • eBook Packages: Springer Book Archive

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