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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jingqiao Zhang Zhuoer Ji |
| Copyright Year | 2008 |
| Description | Author affiliation: Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai (Jingqiao Zhang; Zhuoer Ji) |
| Abstract | A novel real time Catmull-Clark subdivision algorithm on GPU is proposed. The algorithm divides a complicated 3D model into several kinds of simple fragments, and the subdivision masks of these simple fragments can be predefined. After the division of 3D models, these fragments are independent each other, thus can be subdivided in parallel in GPU. The proposed algorithm combines subdivision algorithm with programmable GPU and fully takes advantage of SPs' (stream processors) great ability of computation and parallel process. So the algorithm is more efficient. |
| Starting Page | 874 |
| Ending Page | 879 |
| File Size | 628037 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769533988 |
| DOI | 10.1109/ICYCS.2008.513 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-11-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Radiation detectors Computational modeling Finance Data structures Sorting subdivision algorithm Concurrent computing Computational geometry parallel stream processor Streaming media Parallel processing Ray tracing Programmable GPU |
| Content Type | Text |
| Resource Type | Article |
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