Accelerating the FlowSimulator: Performance Analysis of Finite Element Methods on High–Performance Computers

Neda Ebrahimi Pour (), Marco Cristofaro, Immo Huismann, Jana Gericke-Schuster and Johannes Wendler
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Neda Ebrahimi Pour: German Aerospace Center (DLR), Institute of Software Methods for Product Virtualization
Marco Cristofaro: German Aerospace Center (DLR), Institute of Software Methods for Product Virtualization
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
Johannes Wendler: German Aerospace Center (DLR), Institute of Software Methods for Product Virtualization

A chapter in Tools for High Performance Computing 2023, 2026, pp 110-126 from Springer

Abstract: Abstract Finite element methods have a crucial role in many engineering applications. With the utilization of high-performance computing, the scope of realizable models has expanded exponentially, while maintaining reasonable time to solution expectations. In the context of this study, we dive into the performance analysis of two distinct applications the (i) structural mechanics with the b2000++pro software, and (ii) mesh deformation with the FSMeshDeformation plugin from the FlowSimulator universe. Our investigation begins with the extraction of traces obtained from simulation runs using Score-P. Traces are subsequently subjected to comprehensive scrutiny using the visualization tool Vampir. To further refine our analysis, we strategically employ LIKWID to examine the most time-intensive segments of the code. Obtained results are then translated into the Roofline model. The investigation reveals that the performance of the analyzed hot loops is noticeably lower than the theoretical Roofline performance. This finding signifies that a noteworthy portion of the total runtime is neither limited by floating-point performance nor by available memory bandwidth. Options to close this performance gap are further discussed in this contribution.

Keywords: High–performance computing; Performance analysis; FEM; Structural solver; Mesh deformation (search for similar items in EconPapers)
Date: 2026
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DOI: 10.1007/978-3-032-16397-4_7

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