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Performance of Linear Algebra Code: Intel Xeon EM64T and ItaniumII Case Examples

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Computational Science and Its Applications – ICCSA 2005 (ICCSA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3483))

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Abstract

The canonical form of many large-scale scientific and technical computing problems are often linear algebra problems. As such, routines such as matrix solvers find their use in a wide range of applications. The performance of matrix solvers are often critical in determining the performance of the application programs. This paper investigates the performance of common linear algebra routines on the current architectures of interest to supercomputing users, namely the Intel Xeon EM64T and ItaniumII, with examples from OptimaNumerics Libraries. Performance issues and myths are also shown and diffused in this paper.

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References

  1. Basic Linear Algebra Subroutines (BLAS), http://www.netlib.org/blas/

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Author information

Authors and Affiliations

  1. OptimaNumerics Ltd, Belfast, United Kingdom

    Terry Moreland & Chih Jeng Kenneth Tan

Authors
  1. Terry Moreland
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  2. Chih Jeng Kenneth Tan
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

  2. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA

    Vipin Kumar

  4. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, I-06123, Perugia, Italy

    Antonio Laganá

  5. Institute of High Performance Computing, IHCP, 1 Science Park Road, 01-01 The Capricorn, Singapore Science Park II, 117528, Singapore

    Heow Pueh Lee

  6. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  7. Clayton School of IT, Monash University, 3800, Clayton, Australia

    David Taniar

  8. OptimaNumerics Ltd, Belfast, United Kingdom

    Chih Jeng Kenneth Tan

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© 2005 Springer-Verlag Berlin Heidelberg

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Moreland, T., Tan, C.J.K. (2005). Performance of Linear Algebra Code: Intel Xeon EM64T and ItaniumII Case Examples. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3483. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424925_117

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  • DOI: https://doi.org/10.1007/11424925_117

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25863-6

  • Online ISBN: 978-3-540-32309-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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