Performance Analysis of Complex Engineering Frameworks

Michael Wagner (), Jens Jägersküpper, Daniel Molka and Thomas Gerhold
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Michael Wagner: German Aerospace Center (DLR), Institute of Software Methods for Product Virtualization
Jens Jägersküpper: German Aerospace Center (DLR), Institute of Aerodynamics and Flow Technology
Daniel Molka: German Aerospace Center (DLR), Institute of Software Methods for Product Virtualization
Thomas Gerhold: German Aerospace Center (DLR), Institute of Software Methods for Product Virtualization

A chapter in Tools for High Performance Computing 2018 / 2019, 2021, pp 123-138 from Springer

Abstract: 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.

Date: 2021
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DOI: 10.1007/978-3-030-66057-4_6

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