This paper presents a scientific visualization framework where strong vortical flow features, commonly appearing in turbulent flow, are extracted to support parameterization, automation and interactive exploration of CFD solutions.
Tip vortex near an aerodynamic wing is used as an example to demonstrate how this framework can be used to quantitatively analyze and innovatively visualize large amount of CFD data. Multiple modern Graphics Processing Units (GPU) are adapted to accelerate both computing and visualization, with interactive performance achieved even on extremely large mesh. Moreover, algorithmic considerations in precisions and memory management in multi-GPU computing environments suggest broader potential impacts on both simulation solver and postprocessing software applications.