NDLI: Parallelizing Methods Analysis for Solving Large Sparse Power Network Equations on Multi-core Processor Platforms

Content Provider	IEEE Xplore Digital Library
Author	Zhang Jia-an Zhang Na Jiang Yi-lang
Copyright Year	2011
Abstract	The solution of large sparse network equations is a recurrent problem in almost every algorithm of power system simulation, which is widely used in offline analysis, online stability assessment and control. Nowadays, processor architectures are moving toward the integration of more cores on one chip, whilst traditional serial and parallel software can not fully exploit the performance of multi-core processors. The paper discusses the parallelizing methods for solving large sparse network equations on multi-core processor platforms. The available and feasible parallelizing algorithms such as W-matrix method and BBDF method are investigated. Implicit and explicit parallelization strategies are studied. The parallelizing complexity and computation efficiency are analyzed as well. Refactoring software code to parallel code is a significant ongoing topic of research not only for PCs but also for parallel systems.
Starting Page	192
Ending Page	195
File Size	227836
Page Count	4
File Format	PDF
ISBN	9781612842899
DOI	10.1109/ICICTA.2011.57
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-03-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multicore processing Instruction sets OpenMP power system simulation parallel algorithm multi-core processing MPI Parallel processing Power systems Mathematical model hybrid parallel programming Equations
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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