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Considerations for Scalable CAE on the SGI ccNUMA Architecture

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  • First Online:
High Performance Computing and Networking (HPCN-Europe 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1823))

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Abstract

Recent breakthroughs in CAE technology have lead to a high degree of parallel scaling of CAE simulations in a distributed shared- memory environment. A variety of research and commerical CAE software demonstrate scalable levels that are linear beyond 256 processors on the ccNUMA system architecture developed by SGI. Parallel algorithms typical of contemporary CAE software offer efficient strategies that overcome bottlenecks for moderate levels of parallelism. However, to achieve efficient parallelism on 100’s of processors, additional consideration must be given to topics such as performance of system software and awareness of communication architectures. This paper examines the requirements for highly-scalable CAE simulations on an assortment of industrial application examples.

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References

  1. Laudon, J. and Lenoski, D. The SGI Origin ccNUMA Highly Scalable Server SGI Published White Paper, March 1997.

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  2. Yeager, K. The MIPS R10000 Superscalar Microprocessor IEEE Micro, Vol. 16, pp. 28–40, April 1996.

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  3. Komzsik, L. MSC/NASTRAN Numerical Methods, Version 70 1998.

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Author information

Authors and Affiliations

  1. SGI, Mtn View, CA, 650.933.1689

    Stan Posey, Cheng Liao & Mark Kremenetsky

Authors
  1. Stan Posey
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  2. Cheng Liao
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  3. Mark Kremenetsky
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Editor information

Editors and Affiliations

  1. Institute of Computer Science and Academic Computer Center CYFRONET, University of Mining and Metallurgy (AGH), al. Mickiewicza 30, 30-059, Cracow, Poland

    Marian Bubak

  2. Faculteit der Natuurwetenschappen, Wiskunde en Informatica, Universiteit van Amsterdam, 1098 SJ, Amsterdam, The Netherlands

    Hamideh Afsarmanesh  & Bob Hertzberger  & 

  3. California Institute of Technology, Caltech 158-79, Pasadena, CA, 91125, USA

    Roy Williams

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© 2000 Springer-Verlag Berlin Heidelberg

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Posey, S., Liao, C., Kremenetsky, M. (2000). Considerations for Scalable CAE on the SGI ccNUMA Architecture. In: Bubak, M., Afsarmanesh, H., Hertzberger, B., Williams, R. (eds) High Performance Computing and Networking. HPCN-Europe 2000. Lecture Notes in Computer Science, vol 1823. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45492-6_49

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  • DOI: https://doi.org/10.1007/3-540-45492-6_49

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67553-2

  • Online ISBN: 978-3-540-45492-2

  • eBook Packages: Springer Book Archive

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