Performance Improvements for Large-Scale Simulations using the Discontinuous Galerkin Framework FLEXI

Marcel Blind (), Patrick Kopper (), Daniel Kempf (), Marius Kurz (), Anna Schwarz (), Claus-Dieter Munz () and Andrea Beck ()
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Marcel Blind: University of Stuttgart, Institute of Aerodynamics and Gas Dynamics
Patrick Kopper: University of Stuttgart, Institute of Aircraft Propulsion Systems
Daniel Kempf: University of Stuttgart, Institute of Aerodynamics and Gas Dynamics
Marius Kurz: University of Stuttgart, Institute of Aerodynamics and Gas Dynamics
Anna Schwarz: University of Stuttgart, Institute of Aerodynamics and Gas Dynamics
Claus-Dieter Munz: University of Stuttgart, Institute of Aerodynamics and Gas Dynamics
Andrea Beck: University of Stuttgart, Institute of Aerodynamics and Gas Dynamics

A chapter in High Performance Computing in Science and Engineering '22, 2024, pp 249-264 from Springer

Abstract: Abstract Large-scale simulations pose significant challenges not only to the solver itself but also to the pre- and postprocessing framework. Hence, we present generally applicable improvements to enhance the performance of those tools and thus increase the feasibility of large-scale jobs and convergence studies. To accomplish this, we use a shared memory approach implemented in the Message Passing Interface (MPI) libraries. Additionally, we improve the read and write performance of the flow solver during runtime to minimize the load imposed on the file system. A detailed discussion of the current performance and scaling behavior is given for up to 262144 processes. FLEXI shows excellent scalability for all tested features. We conclude by showing selected applications, where we use the introduced improvements to maximize performance.

Date: 2024
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DOI: 10.1007/978-3-031-46870-4_17

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