2007.124: Mixed Precision Iterative Refinement Techniques for the Solution of Dense Linear Systems
2007.124: Alfredo Buttari, Jack Dongarra, Julie Langou, Julien Langou, Piotr Luszczek and Jakub Kurzak (2007) Mixed Precision Iterative Refinement Techniques for the Solution of Dense Linear Systems.
Full text available as:
|PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader|
By using a combination of 32-bit and 64-bit floating point arithmetic, the performance of many dense and sparse linear algebra algorithms can be significantly enhanced while maintaining the 64-bit accuracy of the resulting solution. The approach presented here can apply not only to conventional processors but also to exotic technologies such as Field Programmable Gate Arrays (FPGA), Graphical Processing Units (GPU), and the Cell BE processor. Results on modern processor architectures and the Cell BE are presented.
|Item Type:||MIMS Preprint|
Accepted in International Journal of High Performance Computer Applications, August 2007
|Subjects:||MSC 2000 > 65 Numerical analysis|
MSC 2000 > 68 Computer science
|Deposited By:||Miss Louise Stait|
|Deposited On:||10 October 2007|