{"title":"用于高效三维电容提取的高阶Nystrom方案","authors":"S. Kapur, D. Long","doi":"10.1145/288548.288604","DOIUrl":null,"url":null,"abstract":"Integral equation based approaches are popular for extracting the capacitance of integrated circuit structures. Typically, first order collocation or Galerkin methods are used. The resulting dense system of equations is efficiently solved by combining matrix sparsification with an iterative solver. While the speed-up over direct factorization is substantial, the first order methods still lead to large systems even for simple problems. We introduce a high order Nystrom scheme. For the same level of discretization, the high order schemes can be an order of magnitude more accurate than the first order approaches at the same computational cost. As a consequence, we obtain the same level of accuracy with a much smaller matrix.","PeriodicalId":224802,"journal":{"name":"1998 IEEE/ACM International Conference on Computer-Aided Design. Digest of Technical Papers (IEEE Cat. No.98CB36287)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"High-order Nystrom schemes for efficient 3-D capacitance extraction\",\"authors\":\"S. Kapur, D. Long\",\"doi\":\"10.1145/288548.288604\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Integral equation based approaches are popular for extracting the capacitance of integrated circuit structures. Typically, first order collocation or Galerkin methods are used. The resulting dense system of equations is efficiently solved by combining matrix sparsification with an iterative solver. While the speed-up over direct factorization is substantial, the first order methods still lead to large systems even for simple problems. We introduce a high order Nystrom scheme. For the same level of discretization, the high order schemes can be an order of magnitude more accurate than the first order approaches at the same computational cost. As a consequence, we obtain the same level of accuracy with a much smaller matrix.\",\"PeriodicalId\":224802,\"journal\":{\"name\":\"1998 IEEE/ACM International Conference on Computer-Aided Design. Digest of Technical Papers (IEEE Cat. No.98CB36287)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1998 IEEE/ACM International Conference on Computer-Aided Design. Digest of Technical Papers (IEEE Cat. No.98CB36287)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/288548.288604\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1998 IEEE/ACM International Conference on Computer-Aided Design. Digest of Technical Papers (IEEE Cat. No.98CB36287)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/288548.288604","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
High-order Nystrom schemes for efficient 3-D capacitance extraction
Integral equation based approaches are popular for extracting the capacitance of integrated circuit structures. Typically, first order collocation or Galerkin methods are used. The resulting dense system of equations is efficiently solved by combining matrix sparsification with an iterative solver. While the speed-up over direct factorization is substantial, the first order methods still lead to large systems even for simple problems. We introduce a high order Nystrom scheme. For the same level of discretization, the high order schemes can be an order of magnitude more accurate than the first order approaches at the same computational cost. As a consequence, we obtain the same level of accuracy with a much smaller matrix.