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Score-P: A Joint Performance Measurement Run-Time Infrastructure for Periscope, Scalasca, TAU, and Vampir

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Tools for High Performance Computing 2011

Abstract

This paper gives an overview about the Score-P performance measurement infrastructure which is being jointly developed by leading HPC performance tools groups. It motivates the advantages of the joint undertaking from both the developer and the user perspectives, and presents the design and components of the newly developed Score-P performance measurement infrastructure. Furthermore, it contains first evaluation results in comparison with existing performance tools and presents an outlook to the long-term cooperative development of the new system.

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Notes

  1. 1.

    The SILC project is funded by the BMBF Germany under grant number 01IH08006.

  2. 2.

    The PRIMA project is funded by the US DOE under grant number DE-SC0001621.

  3. 3.

    Deutscher Wetterdienst (German Meteorological Service), see also http://www.cosmo-model.org/content/model/general/default.htm

  4. 4.

    http://www.spec.org/mpi/

  5. 5.

    http://www.cosmo-model.org/content/model/general/default.htm

  6. 6.

    http://www.nas.nasa.gov/Resources/Software/npb.html

  7. 7.

    https://asc.llnl.gov/computing_resources/purple/archive/benchmarks/smg/

  8. 8.

    http://www.ccs3.lanl.gov/pal/software/sweep3d/

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Authors and Affiliations

  1. ZIH, TU Dresden, 01062, Dresden, Germany

    Andreas Knüpfer, Christian Rössel, Dieter an Mey, Scott Biersdorff, Kai Diethelm, Dominic Eschweiler, Markus Geimer, Michael Gerndt, Daniel Lorenz, Allen Malony, Wolfgang E. Nagel, Yury Oleynik, Peter Philippen, Pavel Saviankou, Dirk Schmidl, Sameer Shende, Ronny Tschüter, Michael Wagner, Bert Wesarg & Felix Wolf

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  1. Andreas Knüpfer
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  2. Christian Rössel
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  3. Dieter an Mey
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  4. Scott Biersdorff
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  5. Kai Diethelm
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  6. Dominic Eschweiler
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  7. Markus Geimer
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  8. Michael Gerndt
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  9. Daniel Lorenz
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  10. Allen Malony
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  11. Wolfgang E. Nagel
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  12. Yury Oleynik
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  13. Peter Philippen
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  14. Pavel Saviankou
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  15. Dirk Schmidl
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  16. Sameer Shende
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  17. Ronny Tschüter
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  18. Michael Wagner
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  19. Bert Wesarg
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  20. Felix Wolf
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Corresponding author

Correspondence to Andreas Knüpfer .

Editor information

Editors and Affiliations

  1. , Zentrum für Informationsdienste, Technische Universität Dresden, Dresden, 01062, Germany

    Holger Brunst

  2. , Zentrum für Informationsdienste, Technische Universität Dresden, Dresden, 01062, Germany

    Matthias S. Müller

  3. , Zentrum für Informationsdienste, Technische Universität Dresden, Dresden, 01062, Germany

    Wolfgang E. Nagel

  4. , Höchstleistungsrechenzentrum, Universität Stuttgart, Nobelstraße 19, Stuttgart, 70569, Germany

    Michael M. Resch

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© 2012 Springer-Verlag Berlin Heidelberg

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Knüpfer, A. et al. (2012). Score-P: A Joint Performance Measurement Run-Time Infrastructure for Periscope, Scalasca, TAU, and Vampir. In: Brunst, H., Müller, M., Nagel, W., Resch, M. (eds) Tools for High Performance Computing 2011. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31476-6_7

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  • DOI: https://doi.org/10.1007/978-3-642-31476-6_7

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