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Accelerating the FlowSimulator: Performance Analysis and Optimization of DLR High-Performance Solvers using Score-P

In: Tools for High Performance Computing 2023

Author

Listed:
  • Immo Huismann

    (German Aerospace Center (DLR), Institute of Software Methods for Product Virtualization)

  • Jana Gericke-Schuster

    (German Aerospace Center (DLR), Institute of Software Methods for Product Virtualization)

  • Ronny Tschüter

    (German Aerospace Center (DLR), Institute of Software Methods for Product Virtualization)

Abstract

With rapidly growing interest in high-fidelity simulations in the field of aircraft design, high performance computing becomes indispensable. However, processors evolve towards an ever-increasing core count, raising requirements on the scalability of scientific software. Consequently, the coordinated interaction of algorithms, hardware and software is required to efficiently use the available resources. This work deals with an in-depth scalability analysis of the flow solvers CODA (Huismann et al. in New results in numerical and experimental fluid mechanics XIII. Springer International Publishing, Cham, pp 99–109, 2021) and Musubi (Hasert et al. in J Comput Sci 5(5):784–794, 2014) employed at DLR. Thereafter, it is refined by profiling and tracing the applications using Score-P (Knüpfer Tools for high performance computing 2011. Springer Berlin Heidelberg, Berlin, Hei- delberg, pp 79–91, 2012). The analysis reveals sub-optimal communication patterns; possible solutions are proposed and their impact evaluated.

Suggested Citation

  • Immo Huismann & Jana Gericke-Schuster & Ronny Tschüter, 2026. "Accelerating the FlowSimulator: Performance Analysis and Optimization of DLR High-Performance Solvers using Score-P," Springer Books, in: Christoph Niethammer & Hartmut Mix & Wolfgang E. Nagel & Michael M. Resch (ed.), Tools for High Performance Computing 2023, pages 90-109, Springer.
    • Handle: RePEc:spr:sprchp:978-3-032-16397-4_6
    DOI: 10.1007/978-3-032-16397-4_6
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