Description
Abstract
On modern architectures, the performance of 32-bit operations is often at least twice as fast as the performance of 64-bit operations. 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 other technologies such as Field Programmab...
Title of program: ITER-REF
Catalogue Id: AECO_v1_0
Nature of problem
On modern architectures, the performance of 32-bit operations is often at least twice as fast as the performance of 64-bit operations. 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.
Versions of this program held in the CPC repository in Mendeley Data
AECO_v1_0; ITER-REF; 10.1016/j.cpc.2008.11.005
This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
On modern architectures, the performance of 32-bit operations is often at least twice as fast as the performance of 64-bit operations. 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 other technologies such as Field Programmab...
Title of program: ITER-REF
Catalogue Id: AECO_v1_0
Nature of problem
On modern architectures, the performance of 32-bit operations is often at least twice as fast as the performance of 64-bit operations. 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.
Versions of this program held in the CPC repository in Mendeley Data
AECO_v1_0; ITER-REF; 10.1016/j.cpc.2008.11.005
This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
| Date made available | 1 Dec 2009 |
|---|---|
| Publisher | Mendeley Data |
Keywords
- numerical linear algebra
- mixed precision
- iterative refinement