This webinar discusses how NVIDIA GPUs and CUDA can enable high-fidelity Computational Fluid Dynamics (CFD) for higher education and research.

Flow field computations for transient and turbulent flow problems are highly compute-intensive and time-consuming. Popular existing numerical techniques often compromise on the underlying physics or require a massive amount of computational resources. Hence, fast and accurate CFD simulations on energy- and cost-efficient hardware are greatly appreciated by both academia and industry.

After a brief review of the theoretical basics and implementation details of a tailor-made 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 CFD.

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