Name
Abstract | ||
|---|---|---|
In this paper we present a general software platform that enables real time surgery simulation on the newly available compute unified device architecture (CUDA)from NVIDIA. CUDA-enabled GPUs harness the power of 128 processors which allow data parallel computations. Compared to the previous GPGPU, it is significantly more flexible with a C language interface. We report implementation of both collision detection and consequent deformation computation algorithms. Our test results indicate that the CUDA enables a twenty times speedup for collision detection and about fifteen times speedup for deformation computation on an Intel(R) Core 2 Quad 2.66GHz machine with GeForce 8800 GTX. |
Year | Venue | Keywords |
|---|---|---|
2008 | Studies in Health Technology and Informatics | GPU,CUDA,surgery simulation,Real time |
Field | DocType | Volume |
Computer graphics (images),CUDA,Computational science,Physics | Conference | 132 |
ISSN | Citations | PageRank |
0926-9630 | 4 | 0.60 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Youquan Liu | 1 | 152 | 13.46 |
| Suvranu De | 2 | 219 | 34.31 |