{"title":"基于自适应代数多网格方法的电网分析","authors":"Zhengyong Zhu, B. Yao, Chung-Kuan Cheng","doi":"10.1145/775832.775862","DOIUrl":null,"url":null,"abstract":"In this paper, we introduce an efficient analysis method for the power network of general topology. The new approach is based on algebraic multigrid (AMG) method that can avoid the slow convergence of basic iterative methods. An innovative adaptive coarsening scheme is employed to further speed up the performance, taking advantage of the spatial variation of power supply noise. Experimental results show that our method is more than 100 times faster than SPICE3.","PeriodicalId":167477,"journal":{"name":"Proceedings 2003. Design Automation Conference (IEEE Cat. No.03CH37451)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"49","resultStr":"{\"title\":\"Power network analysis using an adaptive algebraic multigrid approach\",\"authors\":\"Zhengyong Zhu, B. Yao, Chung-Kuan Cheng\",\"doi\":\"10.1145/775832.775862\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we introduce an efficient analysis method for the power network of general topology. The new approach is based on algebraic multigrid (AMG) method that can avoid the slow convergence of basic iterative methods. An innovative adaptive coarsening scheme is employed to further speed up the performance, taking advantage of the spatial variation of power supply noise. Experimental results show that our method is more than 100 times faster than SPICE3.\",\"PeriodicalId\":167477,\"journal\":{\"name\":\"Proceedings 2003. Design Automation Conference (IEEE Cat. No.03CH37451)\",\"volume\":\"78 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-06-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"49\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 2003. Design Automation Conference (IEEE Cat. No.03CH37451)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/775832.775862\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 2003. Design Automation Conference (IEEE Cat. No.03CH37451)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/775832.775862","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Power network analysis using an adaptive algebraic multigrid approach
In this paper, we introduce an efficient analysis method for the power network of general topology. The new approach is based on algebraic multigrid (AMG) method that can avoid the slow convergence of basic iterative methods. An innovative adaptive coarsening scheme is employed to further speed up the performance, taking advantage of the spatial variation of power supply noise. Experimental results show that our method is more than 100 times faster than SPICE3.
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