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
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartI
| Hi-index | 0.00 |
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.