Janßen, Christian F.
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Mierke, Dennis
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Gehrke, Martin
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Asmuth, Henrik
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Technische Universität Hamburg,
Technische Universität Hamburg Institut für Fluiddynamik und Schiffstheorie
Anmerkungen:
Sonstige Körperschaft: Technische Universität Hamburg
Sonstige Körperschaft: Technische Universität Hamburg, Institut für Fluiddynamik und Schiffstheorie
Beschreibung:
This webinar discusses how NVIDIA GPUs and NVIDIA CUDA can enable high-fidelity Computational Fluid Dynamics for Higher Education and Research. Flow field computations for transient and turbulent flow problems are very compute-intensive and time-consuming. Popular existing numerical techniques often compromise on the underlying physics or require a massive amount of computational resources. Accurate high-fidelity CFD simulations on locally available hardware hence are highly appreciated by academia and industry. After a brief review of the theoretical basics and implementation details of a CUDA-accelerated CFD solver, results from several international research projects are presented. They all demonstrate that GPU computing can be a game changer for state-of-the art research projects in many relevant areas of Computational Fluid Dynamics.