Abstract
The most important aspect for simulations in industrial design processes is the time to solution. To obtain highly detailed results nevertheless, massive computational resources have to be deployed. Feasibility and applicability of HPC systems to this purpose is the main focus of this paper. Two different numerical approaches, implemented with parallelism in mind, are investigated with respect to quality as well as turn around times on large super computing systems. The one approach compares the efficiency of high order schemes on coarser meshes to lower order schemes on finer meshes. The second approach employs a zonal coupling of LES and RANS to limit the computational effort by using solution adapted models. Three industrial use-cases evaluate the performance and quality of these approaches. General optimizations are presented as well as solutions for load-balancing.
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Acknowledgements
This work has been funded by Bundesministerium für Bildung und Forschung (Federal Ministry for Education and Research, BMBF) in the framework of the HPC software initiative in the project STEDG—“Hocheffiziente und skalierbare Software für die Simulation turbulenter Strömungen in komplexen Geometrien.” We thank the Gauss Alliance of German Supercomputing Centers for the provided computing time. We are grateful for the ongoing kind support by HLRS and Cray in Stuttgart.
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© 2013 Springer International Publishing Switzerland
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Harlacher, D.F. et al. (2013). Industrial Turbulence Simulations at Large Scale. In: Nagel, W., Kröner, D., Resch, M. (eds) High Performance Computing in Science and Engineering ‘13. Springer, Cham. https://doi.org/10.1007/978-3-319-02165-2_21
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DOI: https://doi.org/10.1007/978-3-319-02165-2_21
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