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 also often critical in determining the performance of the application programs. This paper reports on the performance of the Cholesky solvers provided by Compaq for the Compaq Alpha architecture and by Intel for the Intel Itanium and Intel Itanium II (IA-64) architectures, and a comparison is then made with the Cholesky solvers in the OptimaNumerics Linear Algebra Library.
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Tan, C.J.K., Hagan, D., Dixon, M. (2003). 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) Computational Science and Its Applications — ICCSA 2003. ICCSA 2003. Lecture Notes in Computer Science, vol 2667. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44839-X_86
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DOI: https://doi.org/10.1007/3-540-44839-X_86
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