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Toward Scalable Voxelization of Meshes with High Growth Rate
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DescriptionThe poster presents a scalable approach that converts the results of large-scale Computational Fluid Dynamics (CFD) simulations into a volumetric representation used by volume rendering-based visualization. Even if this functionality is provided by common post-processing tools, its efficient parallelization requires an appropriate load-balancing. Unfortunately, load-balancing according to the number of cells does not scale for unstructured meshes with high growth rate that is common in CFD. In the poster, we show that with an appropriate redistribution of data among available resources it is possible to perform the operation in just several seconds with significantly improved scalability.