Towards Efficient Parallel State Estimation Solvers on Shared Memory Computers
Conference
·
OSTI ID:894072
We are investigating the effectiveness of parallel weighted- least-square (WLS) state estimation solvers on shared-memory parallel computers. Shared-memory parallel systems are rapidly becoming ubiquitous due to the advent of multi-core processors. In the current evaluation, we are using an LU-based solver as well as a Conjugate Gradient (CG)-based solver for a 1177-bus system. In lieu of a very wide multi-core system we evaluate the effectiveness of the solvers on an SGI Altix system on up to 32 processors. On this platform, the CG-based solver performs significantly better than the LU-based solver and has better parallel scalability.
- Research Organization:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 894072
- Report Number(s):
- PNNL-SA-48162; TRN: US200701%%167
- Resource Relation:
- Conference: Highspeed Computation Panel of the Proceedings of the 2006 IEEE Power Engineering Society General Meeting, 18-22 June 2006 , 1-5
- Country of Publication:
- United States
- Language:
- English
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