Abstract: Computational Fluid Dynamics (CFD) is one of the active and highly demanding research areas, and in which computers with the application of numerical methods are used to solve problems involving fluid flows. With the recent advances in the field of CFD, numerical methods are now capable of solving complex flow physics and can be coupled with structural analysis and others. CFD analysis is extensively used in many industries, e.g., in aerospace, automobile, oil and gas, energy, electronics, healthcare, and it is now become an essential tool to design parameters. CFD can also be used to understand the physics of the flow at full scales under realistic operating conditions, where experiments are either not feasible or very costly. CFD analysis is a cost effective alternative or complement to experiments. Since several equations with millions of unknowns need to be solved iteratively, CFD analysis requires enormous computational power and efficient parallel implementations of the numerical algorithms. Recent developments in computer hardware and parallel implementations have reduced the computational time in CFD analysis. Nevertheless, the scalability of CFD codes is still very challenging in many large scale applications, and the computations take several days to simulate a few seconds of real time physics. It sometime makes CFD an impractical tool for some of the industrial applications. This workshop is intended for CFD user community to provide a common platform to share their experiences, best practices and challenges in High performance computing, and to discuss with the developers of hardware and algorithms to use advanced numerical methods and to implement numerical algorithms efficiently in high performance computing.
Publication Year: 2017
Publication Date: 2017-12-01
Language: en
Type: article
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Cited By Count: 1
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