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dc.contributor.authorYang, Lan
dc.contributor.authorWang, Jingbin
dc.contributor.authorAzevedo, Lorenzo
dc.contributor.authorWang, Jim Jing-Yan
dc.date.accessioned2017-01-02T08:10:20Z
dc.date.available2017-01-02T08:10:20Z
dc.date.issued2015-08-11
dc.identifier.citationYang L, Wang J, Azevedo L, Jing-Yan Wang J (2015) An Efficient Topology-Based Algorithm for Transient Analysis of Power Grid. Lecture Notes in Computer Science: 649–660. Available: http://dx.doi.org/10.1007/978-3-319-22180-9_65.
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.doi10.1007/978-3-319-22180-9_65
dc.identifier.urihttp://hdl.handle.net/10754/622132
dc.description.abstractIn the design flow of integrated circuits, chip-level verification is an important step that sanity checks the performance is as expected. Power grid verification is one of the most expensive and time-consuming steps of chip-level verification, due to its extremely large size. Efficient power grid analysis technology is highly demanded as it saves computing resources and enables faster iteration. In this paper, a topology-base power grid transient analysis algorithm is proposed. Nodal analysis is adopted to analyze the topology which is mathematically equivalent to iteratively solving a positive semi-definite linear equation. The convergence of the method is proved.
dc.publisherSpringer Nature
dc.subjectNodal analysis
dc.subjectPositive semi-definite
dc.subjectPower grid
dc.subjectTopology
dc.titleAn Efficient Topology-Based Algorithm for Transient Analysis of Power Grid
dc.typeConference Paper
dc.contributor.departmentComputational Bioscience Research Center (CBRC)
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journalIntelligent Computing Theories and Methodologies
dc.conference.date2015-08-20 to 2015-08-23
dc.conference.name11th International Conference on Intelligent Computing, ICIC 2015
dc.conference.locationFuzhou, CHN
dc.contributor.institutionSchool of Computer Science and Information Engineering, Chongqing Technology and Business University, Chongqing, 400067, China
dc.contributor.institutionTianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjin, 300072, China
dc.contributor.institutionNational Time Service Center, Chinese Academy of Sciences, Xi’an, 710600, China
dc.contributor.institutionProvincial Key Laboratory for Computer Information Processing Technology, Soochow University, Suzhou, 215006, China
dc.contributor.institutionComputer Science Department, University of Säo Paulo, Säo Paulo, SP, 05508-070, Brazil
dc.identifier.arxividarXiv:1409.7166
kaust.personWang, Jim Jing-Yan
dc.date.published-online2015-08-11
dc.date.published-print2015


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