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Performance Analysis of Complex Engineering Frameworks

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Tools for High Performance Computing 2018 / 2019

Abstract

Many engineering applications require complex frameworks to simulate the intricate and extensive sub-problems involved. However, performance analysis tools can struggle when the complexity of the application frameworks increases. In this paper, we share our efforts and experiences in analyzing the performance of CODA, a CFD solver for aircraft aerodynamics developed by DLR, ONERA, and Airbus, which is part of a larger framework for multi-disciplinary analysis in aircraft design. CODA is one of the key next-generation engineering applications represented in the European Centre of Excellence for Engineering Applications (EXCELLERAT). The solver features innovative algorithms and advanced software technology concepts dedicated to HPC. It is implemented in Python and C\(++\) and uses multi-level parallelization via MPI or GASPI and OpenMP. We present, from an engineering perspective, the state of the art in performance analysis tools, discuss the demands and challenges, and present first results of the performance analysis of a CODA performance test case.

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Acknowledgements

This work has been supported by the EXCELLERAT project, which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 823691 and the German Federal Aviation Research Programme (LuFo) under grand agreement No. 20X1704A (cooperative project TOSCANA).

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Authors and Affiliations

  1. German Aerospace Center (DLR), Institute of Software Methods for Product Virtualization, Dresden, Germany

    Michael Wagner, Daniel Molka & Thomas Gerhold

  2. German Aerospace Center (DLR), Institute of Aerodynamics and Flow Technology, Braunschweig, Germany

    Jens Jägersküpper

Authors
  1. Michael Wagner
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  2. Jens Jägersküpper
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  3. Daniel Molka
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  4. Thomas Gerhold
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Corresponding author

Correspondence to Michael Wagner .

Editor information

Editors and Affiliations

  1. Zentrum für Informationsdienste und Hochleistungsrechnen (ZIH), Technische Universität Dresden, Dresden, Germany

    Hartmut Mix

  2. Höchstleistungsrechenzentrum (HLRS), Universität Stuttgart, Stuttgart, Germany

    Christoph Niethammer

  3. Höchstleistungsrechenzentrum (HLRS), Universität Stuttgart, Stuttgart, Germany

    Huan Zhou

  4. Zentrum für Informationsdienste und Hochleistungsrechnen (ZIH), Technische Universität Dresden, Dresden, Germany

    Wolfgang E. Nagel

  5. Höchstleistungsrechenzentrum (HLRS), Universität Stuttgart, Stuttgart, Germany

    Michael M. Resch

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Wagner, M., Jägersküpper, J., Molka, D., Gerhold, T. (2021). Performance Analysis of Complex Engineering Frameworks. In: Mix, H., Niethammer, C., Zhou, H., Nagel, W.E., Resch, M.M. (eds) Tools for High Performance Computing 2018 / 2019. Springer, Cham. https://doi.org/10.1007/978-3-030-66057-4_6

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