Name
Abstract | ||
|---|---|---|
In this paper we present a general FEM (finite element method) solution that enables fast dynamic deformation simulation on the newly available GPU (graphics processing unit) hardware with 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 not only implement FEM deformation computation algorithms with CUDA but also analyze the performance in detail. Our test results indicate that the GPU with CUDA enables about 4 times speedup for FEM deformation computation on an Intel(R) Core 2 Quad 2.0 GHz machine with GeForce 8800 GTX. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/APCCAS.2008.4746096 | APCCAS |
Keywords | Field | DocType |
graphics processing unit,computer graphic equipment,gpu,computer graphics,compute unified device architecture,cuda,finite element method,finite element analysis,fem deformation simulation,dynamic deformation simulation,graphics,computational modeling,sparse matrices,finite element methods,hardware | Graphics,CUDA,Computer science,Parallel computing,Finite element method,Computational science,General-purpose computing on graphics processing units,Graphics processing unit,Computer graphics,Speedup,Computation | Conference |
Volume | Issue | ISBN |
null | null | 978-1-4244-2342-2 |
Citations | PageRank | References |
8 | 0.57 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Youquan Liu | 1 | 152 | 13.46 |
| Shaohui Jiao | 2 | 230 | 10.60 |
| Wen Wu | 3 | 517 | 47.40 |
| Suvranu De | 4 | 219 | 34.31 |