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Details of Grant 

EPSRC Reference: GR/L94314/01
Title: PARALLEL COMPUTATION OF MATRIX FUNCTIONS
Principal Investigator: Higham, Professor NJ
Other Investigators:
Freeman, Dr TL Gurd, Professor JR
Researcher Co-Investigators:
Project Partners:
Department: Mathematics
Organisation: Victoria University of Manchester, The
Scheme: Standard Research (Pre-FEC)
Starts: 19 October 1998 Ends: 18 October 2001 Value (£): 156,157
EPSRC Research Topic Classifications:
Parallel Computing
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
Related Grants:
Panel History:  
Summary on Grant Application Form
Many of the major linear algebra problems in scientific computing involve, or can be reduced to, the computation of a function of a dense matrix. The traditional view, coloured by experience in serial computing and predominantly based on flop (floating point operation) counts, is that the computation of the required matrix function, for example, the sign, exponential or logarithm of the matrix, is too expensive and alternative methods of solution have been developed. However this traditional view is no longer valid for parallel computations, where the flop count alone can be a poor measure of performance. Our aim is to develop parallel algorithms, together with supporting theory and analysis, for the computation of the more important matrix functions.
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