Matrix computations (3rd ed.)
A Family of High-Performance Matrix Multiplication Algorithms
ICCS '01 Proceedings of the International Conference on Computational Sciences-Part I
Performance Evaluation of Matrix Solvers on Compaq Alpha and Intel Itanium Processors
PDPTA '02 Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications - Volume 3
Performance of linear algebra code: intel xeon EM64T and ItaniumII case examples
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV
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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.