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Finite Element Numerical Integration on PowerXCell Processors

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

Abstract

We investigate opportunities for parallel execution on PowerXCell 8i processors of numerical integration algorithm as it is used in finite element codes. Different kinds of problems and different types of finite element approximations are taken into account. We design and implement several parallelization strategies and test their performance for different situations. The results of analyses and tests can be used as a guideline for choosing the proper parallelization strategy for different problems and finite element discretizations.

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References

  1. Solin, P., Segeth, K., Dolezel, I.: Higher-Order Finite Element Methods. Chapman & Hall/CRC (2003)

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  3. Banaś, K.: A model for parallel adaptive finite element software. In: Kornhuber, R., Hoppe, R., Périaux, J., Pironneau, O., Widlund, O., Xu, J. (eds.) Domain Decomposition Methods in Science and Engineering. Lecture Notes in Computational Science and Engineering, vol. 40, pp. 159–166. Springer, Heidelberg (2004)

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© 2010 Springer-Verlag Berlin Heidelberg

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Krużel, F., Banaś, K. (2010). Finite Element Numerical Integration on PowerXCell Processors. 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_54

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  • DOI: https://doi.org/10.1007/978-3-642-14390-8_54

  • 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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