Recently, methods were developed to render various global illumination effects with rasterization GPUs. Among those were hardware based ray tracing and photon mapping. However, due to current GPU??s inherent architectural limitations, the efficiency and throughput of these methods remained low. In this thesis, we propose a coherent rendering system that addresses these issues. First, we introduce new photon mapping and ray racing acceleration algorithms that facilitate data coherence and spatial locality, as well as eliminating unnecessary random memory accesses. A high level abstraction of the combined ray tracing and photon mapping streaming pipeline is introduced. Based on this abstraction, an efficient ray tracing and photon mapping GPU is designed. Using an event driven simulator, developed for this GPU, we verify and validate the proposed algorithms and architecture. Simulation results have validated better interactive performances compared to the current GPUs.
| Identifer | oai:union.ndltd.org:TEXASAandM/oai:repository.tamu.edu:1969.1/2741 |
| Date | 01 November 2005 |
| Creators | Ling, Junyi |
| Contributors | Akleman, Ergun, Mahapatra, Rabi, Keyser, John |
| Publisher | Texas A&M University |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Electronic Thesis, text |
| Format | 804878 bytes, electronic, application/pdf, born digital |
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