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Finite Element Numerical Integration on GPUs

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Parallel Processing and Applied Mathematics (PPAM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6067))

Abstract

We investigate the opportunities for using GPUs to perform numerical integration for finite element simulations. The degree of concurrency and memory usage patterns are analyzed for different types of finite element approximations. The results of numerical experiments designed to test execution efficiency on GPUs are presented. We draw some conclusions concerning advantages and disadvantages of off-loading numerical integration to GPUs for finite element calculations.

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References

  1. Göddeke, D., Wobker, H., Strzodka, R., Mohd-Yusof, J., McCormick, P., Turek, S.: Co-processor acceleration of an unmodified parallel solid mechanics code with FEASTGPU. In: International Journal of Computational Science and Engineering, IJCSE (2009) (to appear)

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© 2010 Springer-Verlag Berlin Heidelberg

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Płaszewski, P., Macioł, P., Banaś, K. (2010). Finite Element Numerical Integration on GPUs. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Wasniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2009. Lecture Notes in Computer Science, vol 6067. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14390-8_43

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  • DOI: https://doi.org/10.1007/978-3-642-14390-8_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14389-2

  • Online ISBN: 978-3-642-14390-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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