Title :
Scalability analysis of parallel systems with multiple components of work
Author :
Tambouris, E. ; van Santen, P.
Author_Institution :
Dept. of Electron. & Comput. Eng., Brunel Univ., Uxbridge, UK
fDate :
6/22/1905 12:00:00 AM
Abstract :
The generic fixed-value efficiency (FVE) method is proposed in order to study the scalability of parallel algorithms with multiple components of work. The generic FVE method is based on the isoefficiency method. Unlike isoefficiency, however, this method may be applied to parallel algorithm-machine combinations (parallel systems) where the relationship between the total work and its components is not predetermined by the decomposition method or by any other factor. The objective of the method is to derive the relationships between the total work and its components in order for the efficiency of the parallel system to be preserved. The use of the method is demonstrated by analysing the impact of the sparsity of the input data on the scalability of a static state estimator for power systems
Keywords :
parallel algorithms; parallel machines; performance evaluation; power system analysis computing; power system state estimation; decomposition method; efficiency preservation; generic fixed-value efficiency method; input data sparsity; isoefficiency method; multiple work components; parallel algorithm scalability analysis; parallel algorithm-machine combinations; parallel systems; power systems; static state estimator; Algorithm design and analysis; Hip; Parallel algorithms; Performance analysis; Postal services; Power system analysis computing; Power system modeling; Read only memory; Scalability;
Conference_Titel :
Parallel and Distributed Processing, 2000. Proceedings. 8th Euromicro Workshop on
Conference_Location :
Rhodos
Print_ISBN :
0-7695-0500-7
DOI :
10.1109/EMPDP.2000.823410
