Computational Fluid Dynamics Co-processing for Unsteady Visualization
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28 Corporate Drive, Clifton Park, NY, 12065
AbstractData management is a major bottle neck in exploitation of simulations for predicting and analyzing complex fluid dynamics. We propose creating a co-processing toolkit that extracts significant features from simulation results as the simulation is running. This toolkit will allow analysis of fine temporal features without having to store massive amounts of data required for effective post processing. The proposed toolkit design will allow efficient computation and flexible feature analysis. Kitware is in a unique position to develop the co-processing toolkit because of our existing VTK toolkit and our extensive experience with distributed algorithms.
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