Divide-and-Conquer 3D Convex Hulls on the GPU
Department of Computer Science, California State University, Fullerton
arXiv:1205.1171v1 [cs.DC] (6 May 2012)
@article{2012arXiv1205.1171W,
author={White}, J.~M. and {Wortman}, K.~A.},
title={"{Divide-and-Conquer 3D Convex Hulls on the GPU}"},
journal={ArXiv e-prints},
archivePrefix={"arXiv"},
eprint={1205.1171},
primaryClass={"cs.DC"},
keywords={Computer Science – Distributed, Parallel, and Cluster Computing, Computer Science – Computational Geometry, I.3.5, D.1.3},
year={2012},
month={may},
adsurl={http://adsabs.harvard.edu/abs/2012arXiv1205.1171W},
adsnote={Provided by the SAO/NASA Astrophysics Data System}
}
We describe a pure divide-and-conquer parallel algorithm for computing 3D convex hulls. We implement that algorithm on GPU hardware, and find a significant speedup over comparable CPU implementations.
May 9, 2012 by hgpu
