Title :
GPU accelerated fast FEM deformation simulation
Author :
Liu, Youquan ; Jiao, Shaohui ; Wu, Wen ; De, Suvranu
Author_Institution :
Fac. of Sci. & Technol., Univ. of Macau, Macau
fDate :
Nov. 30 2008-Dec. 3 2008
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.
Keywords :
computer graphic equipment; computer graphics; finite element analysis; CUDA; FEM deformation simulation; GPU; compute unified device architecture; dynamic deformation simulation; finite element method; graphics processing unit; Acceleration; Algorithm design and analysis; Computational modeling; Computer architecture; Concurrent computing; Deformable models; Finite element methods; Graphics; Hardware; Performance analysis;
Conference_Titel :
Circuits and Systems, 2008. APCCAS 2008. IEEE Asia Pacific Conference on
Conference_Location :
Macao
Print_ISBN :
978-1-4244-2341-5
Electronic_ISBN :
978-1-4244-2342-2
DOI :
10.1109/APCCAS.2008.4746096
