A CUDA-parallel voxelizer and hierarchical SGGX clustering representation enable faster, more accurate level-of-detail rendering of sparse microgeometry volumes.
Techniques used in the GEM code for Monte Carlo neutronics calculations in re- actors and other systems of complex geometry,
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Fast Voxelization and Level of Detail for Microgeometry Rendering
A CUDA-parallel voxelizer and hierarchical SGGX clustering representation enable faster, more accurate level-of-detail rendering of sparse microgeometry volumes.