GPU-Based Global Illumination Using Lightcuts
Purdue University, West Lafayette, Indiana
Purdue University, 2011
@article{zhang2011gpu,
title={GPU-Based Global Illumination Using Lightcuts},
author={Zhang, T.},
year={2011}
}
Global Illumination aims to generate high quality images. But due to its high requirements, it is usually quite slow. Research documented in this thesis was intended to offer a hardware and software combined acceleration solution to global illumination. The GPU (using CUDA) was the hardware part of the whole method that applied parallelism to increase performance; the "Lightcuts" algorithm proposed by Walter (2005) at SIGGRAPH 2005 acted as the software method. As the results demonstrated in this thesis, this combined method offers a satisfactory performance boost effect for relatively complex scenes.
December 28, 2011 by hgpu
