@Article{CiCP-17-1246,
author = {C. F. Janßen, N. Koliha and T. Rung},
title = {A Fast and Rigorously Parallel Surface Voxelization Technique for GPU-Accelerated CFD Simulations},
journal = {Communications in Computational Physics},
year = {2018},
volume = {17},
number = {5},
pages = {1246--1270},
abstract = {<p style="text-align: justify;">This paper presents a fast surface voxelization technique for the mapping
of tessellated triangular surface meshes to uniform and structured grids that provide
a basis for CFD simulations with the lattice Boltzmann method (LBM). The core algorithm
is optimized for massively parallel execution on graphics processing units
(GPUs) and is based on a unique dissection of the inner body shell. This unique definition
necessitates a topology based neighbor search as a preprocessing step, but also enables
parallel implementation. More specifically, normal vectors of adjacent triangular
tessellations are used to construct half-angles that clearly separate the per-triangle regions.
For each triangle, the grid nodes inside the axis-aligned bounding box (AABB)
are tested for their distance to the triangle in question and for certain well-defined
relative angles. The performance of the presented grid generation procedure is superior
to the performance of the GPU-accelerated flow field computations per time
step which allows efficient fluid-structure interaction simulations, without noticeable
performance loss due to the dynamic grid update.</p>},
issn = {1991-7120},
doi = {https://doi.org/10.4208/cicp.2014.m414},
url = {http://global-sci.org/intro/article_detail/cicp/11011.html}
}