Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.3158
Fulltext available Open Access
Publisher DOI: 10.5281/zenodo.3256383
Title: CUDA-accelerated computational fluid dynamics (NVIDIA Webinar)
Language: English
Authors: Janßen, Christian Friedrich  
Mierke, Dennis  
Gehrke, Martin  
Asmuth, Henrik 
Issue Date: Jun-2019
Publisher: CERN
Source: Zenodo: (2019)
Journal or Series Name: Zenodo 
Abstract (english): 
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.
URI: http://hdl.handle.net/11420/8064
DOI: 10.15480/882.3158
Institute: Fluiddynamik und Schiffstheorie M-8 
Document Type: Presentation
License: In Copyright In Copyright
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