With slow commercial #CFD software, compute time for my PhD studies would have exceeded decades. The only way to success was to master #GPU programming, write my own CFD solver from the ground up and turn runtime to days. Now a 10 billion cell simulation (like in the video) runs over night on an 8-GPU server, visualizing hundreds of TeraByte with my #OpenCL graphics engine.

I have since published my source code to make this powerful tool freely available to other researchers/students/hobbyists. Today #FluidX3D the most popular CFD code on GitHub with 1.6k Stargazers: https://github.com/ProjectPhysX/FluidX3D

Thanks to the people at Jülich Supercomputing Centre for letting me test their hardware!

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