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Visualizing Performance Data with Respect to the Simulated Geometry

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High-Performance Scientific Computing (JHPCS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10164))

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Abstract

Understanding the performance behaviour of high-performance computing (hpc) applications based on performance profiles is a challenging task. Phenomena in the performance behaviour can stem from the hpc system itself, from the application’s code, but also from the application domain. In order to analyse the latter phenomena, we propose a system that visualizes profile-based performance data in its spatial context in the application domain, i.e., on the geometry processed by the application. It thus helps hpc experts and simulation experts understand the performance data better. Furthermore, it reduces the initially large search space by automatically labelling those parts of the data that reveal variation in performance and thus require detailed analysis.

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Acknowledgements

This work has been partially funded by the German Federal Ministry of Research and Education (BMBF) under grant number 01IH13001D (Score-E), and by the Excellence Initiative of the German federal and state governments.

Author information

Authors and Affiliations

  1. JARA-HPC, 52064, Aachen, Germany

    Tom Vierjahn, Torsten W. Kuhlen, Matthias S. Müller & Bernd Hentschel

  2. Visual Computing Institute, RWTH Aachen University, 52064, Aachen, Germany

    Tom Vierjahn, Torsten W. Kuhlen & Bernd Hentschel

  3. Chair for High-Performance Computing, RWTH Aachen University, Seffenter Weg 23, 52064, Aachen, Germany

    Matthias S. Müller

Authors
  1. Tom Vierjahn
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  2. Torsten W. Kuhlen
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  3. Matthias S. Müller
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  4. Bernd Hentschel
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Corresponding author

Correspondence to Tom Vierjahn .

Editor information

Editors and Affiliations

  1. Forschungszentrum Jülich, Jülich, Germany

    Edoardo Di Napoli

  2. Forschungszentrum Jülich, Jülich, Germany

    Marc-André Hermanns

  3. RWTH Aachen University, Aachen, Germany

    Hristo Iliev

  4. RWTH Aachen University, Aachen, Germany

    Andreas Lintermann

  5. Forschungszentrum Jülich, Jülich, Germany

    Alexander Peyser

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Vierjahn, T., Kuhlen, T.W., Müller, M.S., Hentschel, B. (2017). Visualizing Performance Data with Respect to the Simulated Geometry. In: Di Napoli, E., Hermanns, MA., Iliev, H., Lintermann, A., Peyser, A. (eds) High-Performance Scientific Computing. JHPCS 2016. Lecture Notes in Computer Science(), vol 10164. Springer, Cham. https://doi.org/10.1007/978-3-319-53862-4_18

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  • DOI: https://doi.org/10.1007/978-3-319-53862-4_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-53861-7

  • Online ISBN: 978-3-319-53862-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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