Janßen, Christian FriedrichChristian FriedrichJanßenMierke, DennisDennisMierkeGehrke, MartinMartinGehrkeAsmuth, HenrikHenrikAsmuth2020-12-012020-12-012019-06Zenodo: (2019)http://hdl.handle.net/11420/8064This 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.en2019CERNhttp://rightsstatements.org/vocab/InC/1.0/TechnikConference Presentation10.15480/882.315810.5281/zenodo.325638310.15480/882.3158Presentation