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
Basic Linear Algebra Subroutines (BLAS), http://www.netlib.org/blas/
Bientinesi, P., Gunnels, J.A., Gustavson, F.G., Henry, G.M., Myers, M.E., Quintana-Orti, E.S., van de Geijn, R.A.: The Science of Programming High-Performance Linear Algebra Libraries. In: Proceedings of Performance Optimization for High-Level Languages and Libraries, POHLL 2002 (2002); Association for Computing Machinery
Goto, K., van de Geijn, R.: On Reducing TLB Misses in Matrix Multiplication. Tech. Rep. TR-2002-55, University of Texas at Austin, 2003. FLAME Working Note 9
Gunnels, J.A., Henry, G.M., van de Geijn, R.A.: In: Alexandrov, V.N., Dongarra, J., Juliano, B.A., Renner, R.S., Tan, C.J.K. (eds.) ICCS-ComputSci 2001. LNCS, vol. 2073, pp. 51–60. Springer, Heidelberg (2001)
Linear Algbra Package (LAPACK), http://www.netlib.org/lapack/
Tan, C.J.K.: Performance Evaluation of Matrix Solvers on Compaq Alpha and Intel Itanium Processors. In: Arabnia, H.R., Gavrilova, M.L., Tan, C.J.K., et al. (eds.) Proceedings of the 2002 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA 2002), CSREA (2002)
Tan, C.J.K., Hagan, D., Dixon, M.: A Performance Comparison of Matrix Solvers on Compaq Alpha, Intel Itanium, and Intel Itanium II Processors. In: Kumar, V., Gavrilova, M.L., Tan, C.J.K., L’Ecuyer, P. (eds.) ICCSA 2003. LNCS, vol. 2667, pp. 818–827. Springer, Heidelberg (2003)
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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
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