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CAE simulation and analysis are highly sophisticated applications which enable engineers to get insight into complex phenomena and to virtually investigate physical behavior. In order to produce the best results possible these simulation solutions require high-performance computer platforms. In this paper the authors investigate the optimum usage of high-performance clusters for maximum efficiency and productivity, for CAE applications, and for automotive design in particular. High-performance computing is a crucial tool for automotive design and manufacturing. It is used for Computer-Aided Engineering (CAE) from component-level to full vehicle analyses: crash simulations, structure integrity, thermal management, climate control, engine modeling, exhaust, acoustics and much more.
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