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An efficient GPU acceleration format for finite element analysis
Authors:Jin Tian  Gong Li  Wu Fei  Guohui Zeng
Affiliation:1. College of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, 201620, China
2. Institute of China Innovation, East China Normal University, Shanghai, 200062, China
3. Putuo District, candidate. Rm. 501, No. 55, Ln. 650, Zhongjiang Rd., Shanghai, 200062, China
Abstract:This paper proposes a new Graphics Processing Unit (GPU)-accelerated storage format to speed up Sparse Matrix Vector Products (SMVPs) for Finite Element Method (FEM) analysis of electromagnetic problems. A new format called Modified Compile Time Optimization (MCTO) format is used to reduce much execution time and design for hastening the iterative solution of FEM equations especially when rows have uneven lengths. The MCTO-applied FEM is about 10 times faster than conventional FEM on a CPU, and faster than other row-major ordering formats on a GPU. Numerical results show that the proposed GPU-accelerated storage format turns out to be an excellent accelerator.
Keywords:Finite Element Method (FEM)  Graphics Processing Unit (GPU)  Parallelizationstrategy  Modified Compile Time Optimization (MCTO)
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