Title :
Managing the bottlenecks of a parallel Gauss-Seidel algorithm for power flow analysis
Author :
Huang, G. ; Ongsakul, W.
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
The parallelization and implementations of Gauss-Seidel (G-S) algorithms for power flow analysis have been investigated on a Sequent Balance shared memory (SM) machine. In this paper, the authors generalize the idea to more general computer architectures and demonstrate how to effectively increase the speedup upper bounds of G-S algorithms by properly managing the bottlenecks
Keywords :
iterative methods; parallel algorithms; partial differential equations; Sequent Balance; block partitioning; bottlenecks; parallel Gauss-Seidel algorithm; parallelization; power flow analysis; shared memory; Computer architecture; Contracts; Energy management; Gaussian processes; Load flow analysis; Power system management; Power systems; Random access memory; Samarium; Upper bound;
Conference_Titel :
Parallel Processing Symposium, 1993., Proceedings of Seventh International
Conference_Location :
Newport, CA
Print_ISBN :
0-8186-3442-1
DOI :
10.1109/IPPS.1993.262781
