Name
Abstract | ||
|---|---|---|
As a 3D scene becomes increasingly complex and the screen resolution increases, the design of an effective memory architecture is one of the most important issues for 3D rendering processors. We propose a pixel rasterization architecture that performs the depth test twice, before and after texture mapping. The proposed architecture eliminates memory bandwidth waste due to fetching unnecessary obscured texture data by performing the depth test before texture mapping. It also reduces the miss penalties of the pixel cache by using a prefetch scheme-that is, a frame memory access, due to a cache miss at the first depth test, is done simultaneously with texture mapping. We have built a trace-driven simulator for the proposed architecture. To validate the proposed architecture, the results of various simulations are provided. The proposed pixel rasterization architecture achieves memory bandwidth effectiveness and reduces power consumption while producing high-performance gains. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/TC.2003.1244948 | IEEE Trans. Computers |
Keywords | Field | DocType |
3d rendering processor,texture mapping,computer graphic equipment,power consumption,cache storage,proposed pixel rasterization architecture,parallel architectures,rendering processors,graphics hardware,memory bandwidth effectiveness,proposed architecture,prefetch scheme,effective memory architecture,rendering (computer graphics),3d graphics,rendering hardware,texture data,frame memory access,pixel cache,pixel rasterization pipeline architecture,effective pixel rasterization pipeline,depth test,memory bandwidth waste,memory bandwidth waste elimination,image texture,pixel rasterization architecture,pipeline processing,indexing terms,memory bandwidth | Texture mapping,Memory bandwidth,Image texture,Cache,Computer science,3D rendering,Parallel computing,Texture memory,Instruction prefetch,Computer hardware,Memory architecture | Journal |
Volume | Issue | ISSN |
52 | 11 | 0018-9340 |
Citations | PageRank | References |
13 | 1.06 | 13 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Woo-Chan Park | 1 | 108 | 19.82 |
| Kil-Whan Lee | 2 | 18 | 3.29 |
| Il-San Kim | 3 | 14 | 2.82 |
| Tack-Don Han | 4 | 351 | 66.39 |
| Sung-bong Yang | 5 | 150 | 21.83 |