Name
Abstract | ||
|---|---|---|
Volume ray casting algorithms benefit greatly with recent increase of GPU capabilities and power. In this paper, we present a novel memory efficient ray casting algorithm for unstructured grids completely implemented on GPU using a recent off-the-shelf nVidia graphics card. Our approach is built upon a recent CPU ray casting algorithm, called VF-Ray, that considerably reduces the memory footprint while keeping good performance. In addition to the implementation of VF-Ray in the graphics hardware, we also propose a restructuring in its data structures. As a result, our algorithm is much faster than the original software version, while using significantly less memory, it needed only one-half of its previous memory usage. Comparing our GPU implementation to other hardware-based ray casting algorithms, our approach used between three to ten times less memory. These results made it possible for our GPU implementation to handle larger datasets on GPU than previous approaches. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.2312/VG/VG-PBG08/155-162 | Volume Graphics 2007 |
Keywords | Field | DocType |
volume ray casting algorithm,casting algorithm,novel memory efficient ray,gpu implementation,recent increase,memory footprint,unstructured volume rendering,memory efficient gpu-based ray,recent cpu ray casting,previous memory usage,gpu capability,hardware-based ray casting algorithm,volume rendering,ray casting | Volume ray casting,Graphics,Data structure,Volume rendering,Graphics hardware,Computer graphics (images),Computer science,Parallel computing,Ray casting,Memory footprint,Software versioning | Conference |
Citations | PageRank | References |
8 | 0.49 | 13 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Maximo | 1 | 87 | 8.10 |
| S. Ribeiro | 2 | 8 | 0.49 |
| C. Bentes | 3 | 8 | 0.49 |
| A. Oliveira | 4 | 8 | 0.49 |
| R. Farias | 5 | 18 | 1.16 |