Computational Fluid Dynamics, a technique that can be used to measure the flow of water around a ship’s hull or the exhaust flow of a car engine, requires complex, processing-intensive software. It is therefore a key candidate to benefit from Grid computing, as the FlowGrid project proved.
By developing the architecture to run Computational Fluid Dynamics (CFD) applications on the Grid, the IST programme-funded initiative has provided industrial and academic users with the ability to solve complex problems without the need to invest in the costly parallel computing infrastructure that would otherwise be necessary.
“There is a vast market of users out there who only need to use CFD applications occasionally and it makes no sense for them to acquire high performance processing systems,” explains project manager Norberto Fueyo at the University of Zaragoza in Spain.
Tara Morris | alfa
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