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GPU accelerated fast FEM deformation simulation

Youquan Liu, Shaohui Jiao, Wen Wu, Suvranu De
Fac. of Sci. & Technol., Univ. of Macau, Macau
IEEE Asia Pacific Conference on Circuits and Systems, 2008. APCCAS 2008

@conference{liu2008gpu,

   title={GPU accelerated fast FEM deformation simulation},

   author={Liu, Y. and Jiao, S. and Wu, W. and De, S.},

   booktitle={Circuits and Systems, 2008. APCCAS 2008. IEEE Asia Pacific Conference on},

   pages={606–609},

   year={2008},

   organization={IEEE}

}

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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.
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