Advanced Global Illumination
Implicit visibility and antiradiance for interactive global illumination
ACM SIGGRAPH 2007 papers
Progressive radiosity method on clusters using a new clipping algorithm
International Journal of High Performance Computing and Networking
Fast, realistic lighting and material design using nonlinear cut approximation
ACM SIGGRAPH Asia 2008 papers
Imperfect shadow maps for efficient computation of indirect illumination
ACM SIGGRAPH Asia 2008 papers
Incremental instant radiosity for real-time indirect illumination
EGSR'07 Proceedings of the 18th Eurographics conference on Rendering Techniques
The Journal of Supercomputing
High-performance Monte Carlo radiosity on GPU based on scene partitioning
Microprocessors & Microsystems
Hi-index | 0.00 |
The radiosity method is usually employed for the rendering of highly realistic synthetic images. In this paper we present an implementation of the Monte Carlo radiosity algorithm on the GPU using CUDA. Our proposal is based on the partition of the scene into sub-scenes to be processed in parallel to exploit the graphics card structure. The convex partition method employed permits the exploitation of data locality and the optimization of the ray shooting procedure due to the minimization of the number of objects to be tested in the intersection calculation. The results are good in terms of execution times, increasing the flexibility of previous solutions and demonstrating that the GPU can outperform the CPU results even for non-regular algorithms.