Electromagnetic parasitic extraction via a multipole method with hierarchical refinement

M. Beattie, L. Pileggi
{"title":"Electromagnetic parasitic extraction via a multipole method with hierarchical refinement","authors":"M. Beattie, L. Pileggi","doi":"10.1109/ICCAD.1999.810690","DOIUrl":null,"url":null,"abstract":"The increasing interconnect density and operating frequencies of system-on-a-chip (SOC) designs necessitates extraction of parasitic electromagnetic couplings beyond the localized confines of functional design blocks. In addition, SOC design styles and gridless variable-width routing make it increasingly difficult to use precharacterized library shapes for parasitic extraction. A comprehensive capacitance and inductance extraction solution requires a hierarchical data representation and fast runtime algorithms. We illustrate through examples that both the multipole method and hierarchical refinement, which are the two most successful approaches for parasitic extraction to date, work efficiently only under certain, limiting conditions. To improve this situation we present an approach which combines the best of both methods into a concurrent multipole refinement representation of the electromagnetic interaction which is efficient for arbitrary interconnect configurations. We use a generalized formulation of electromagnetic interactions to exploit the similarities in capacitance and inductance extraction for greater efficiency.","PeriodicalId":6414,"journal":{"name":"1999 IEEE/ACM International Conference on Computer-Aided Design. Digest of Technical Papers (Cat. No.99CH37051)","volume":"14 1","pages":"437-444"},"PeriodicalIF":0.0000,"publicationDate":"1999-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"30","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1999 IEEE/ACM International Conference on Computer-Aided Design. Digest of Technical Papers (Cat. No.99CH37051)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAD.1999.810690","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 30

Abstract

The increasing interconnect density and operating frequencies of system-on-a-chip (SOC) designs necessitates extraction of parasitic electromagnetic couplings beyond the localized confines of functional design blocks. In addition, SOC design styles and gridless variable-width routing make it increasingly difficult to use precharacterized library shapes for parasitic extraction. A comprehensive capacitance and inductance extraction solution requires a hierarchical data representation and fast runtime algorithms. We illustrate through examples that both the multipole method and hierarchical refinement, which are the two most successful approaches for parasitic extraction to date, work efficiently only under certain, limiting conditions. To improve this situation we present an approach which combines the best of both methods into a concurrent multipole refinement representation of the electromagnetic interaction which is efficient for arbitrary interconnect configurations. We use a generalized formulation of electromagnetic interactions to exploit the similarities in capacitance and inductance extraction for greater efficiency.
基于多极子分层改进的电磁寄生提取方法
片上系统(SOC)设计的互连密度和工作频率不断增加,需要在功能设计模块的局部限制之外提取寄生电磁耦合。此外,SOC设计风格和无网格变宽路由使得使用预表征库形状进行寄生提取变得越来越困难。全面的电容和电感提取解决方案需要分层数据表示和快速运行算法。我们通过实例说明,多极方法和分层细化,这是迄今为止寄生虫提取的两种最成功的方法,只有在某些限制条件下才能有效工作。为了改善这种情况,我们提出了一种方法,该方法结合了两种方法的优点,形成了对任意互连结构有效的电磁相互作用的并发多极精化表示。我们使用电磁相互作用的广义公式来利用电容和电感提取的相似性以提高效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信