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Finite Element Analyses of Dynamic Problems Using Graphics Hardware

Atsuya Oishi1, Shinobu Yoshimura2

Univ. Tokushima, Tokushima, JAPAN.
Univ.Tokyo, Tokyo, JAPAN.

Computer Modeling in Engineering & Sciences 2008, 25(2), 115-132. https://doi.org/10.3970/cmes.2008.025.115

Abstract

This paper describes the finite element analyses of dynamic problems using graphics hardware. The graphics hardware, known as GPU that is an acronym of Graphics Processing Unit, was first developed only for processing 3D computer graphics. However it has obtained both flexible programmability using a high-level shader programming language such as OpenGL Shading Language (GLSL), and has also obtained fast numerical processing ability of over 160 GFLOPS that is much faster than CPU. In this paper, GPU is utilized for the finite element analyses of dynamic problems. Two different computational tasks in the dynamic finite element analyses are implemented to the GPU. One is the construction of element stiffness/mass matrices and the other is the calculation of time integration based on an explicit scheme. Fundamental formulations of the implementations are described in detail, and their basic performance is tested through sample analyses. The results indicate that GPU can perform dynamic finite element analyses faster than CPU.

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APA Style
Oishi, A., Yoshimura, S. (2008). Finite element analyses of dynamic problems using graphics hardware. Computer Modeling in Engineering & Sciences, 25(2), 115-132. https://doi.org/10.3970/cmes.2008.025.115
Vancouver Style
Oishi A, Yoshimura S. Finite element analyses of dynamic problems using graphics hardware. Comput Model Eng Sci. 2008;25(2):115-132 https://doi.org/10.3970/cmes.2008.025.115
IEEE Style
A. Oishi and S. Yoshimura, "Finite Element Analyses of Dynamic Problems Using Graphics Hardware," Comput. Model. Eng. Sci., vol. 25, no. 2, pp. 115-132. 2008. https://doi.org/10.3970/cmes.2008.025.115



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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