"GPU-Based Global Illumination Using Lightcuts" by Tong Zhang
 

Abstract

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.

Keywords

GPU Global Illumination Lightcuts Performance

Date of this Version

4-25-2011

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