Name
Abstract | ||
|---|---|---|
We describe a GPU-based algorithmic framework for optimizing the shape of elements in a simplicial volume. Optimization is done on a per-vertex basis using only local neighborhood information in order to exploit the massive fine-grained parallelism on modern GPU hardware. We propose and apply three optimization methods which have potential to be suited for local optimization of element shape and present a framework which may be generalized to other methods. Experiments which compare our method to state-of-the-art algorithms show a more than ten-fold performance increase for a similar final quality in both test and practical real-world meshes. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.3233/978-1-61499-381-0-285 | PARALLEL COMPUTING: ACCELERATING COMPUTATIONAL SCIENCE AND ENGINEERING (CSE) |
Keywords | Field | DocType |
Mesh optimization,parallel algorithms,GPU applications | Mesh optimization,Polygon mesh,Computer science,Parallel algorithm,Parallel computing | Conference |
Volume | ISSN | Citations |
25 | 0927-5452 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eric Shaffer | 1 | 132 | 9.17 |
| Zuofu Cheng | 2 | 3 | 0.79 |
| Raine Yeh | 3 | 0 | 0.34 |
| George Zagaris | 4 | 20 | 3.54 |
| Luke Olson | 5 | 235 | 21.93 |