Accelerating scientific computations with mixed precision algorithms

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