具有反电感矩阵的大规模线性电路仿真

C. Mizuta, J. Iwai, K. Machida, T. Kage, H. Masuda
{"title":"具有反电感矩阵的大规模线性电路仿真","authors":"C. Mizuta, J. Iwai, K. Machida, T. Kage, H. Masuda","doi":"10.1109/ASPDAC.2004.1337628","DOIUrl":null,"url":null,"abstract":"We show that by using an inversed form of an inductance matrix, the current variables become no more necessary in a transient analysis. Furthermore we have invented a way to remove them even in a steady state analysis while preserving the same sparse matrix topology throughout the both analyses. The removal has brought about a sufficiently effective speed-up and stability of calculation. It opens a way to the accurate numerical verification of large-scale signal integrity as in a power grid of LSI.","PeriodicalId":426349,"journal":{"name":"ASP-DAC 2004: Asia and South Pacific Design Automation Conference 2004 (IEEE Cat. No.04EX753)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Large-scale linear circuit simulation with an inversed inductance matrix\",\"authors\":\"C. Mizuta, J. Iwai, K. Machida, T. Kage, H. Masuda\",\"doi\":\"10.1109/ASPDAC.2004.1337628\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We show that by using an inversed form of an inductance matrix, the current variables become no more necessary in a transient analysis. Furthermore we have invented a way to remove them even in a steady state analysis while preserving the same sparse matrix topology throughout the both analyses. The removal has brought about a sufficiently effective speed-up and stability of calculation. It opens a way to the accurate numerical verification of large-scale signal integrity as in a power grid of LSI.\",\"PeriodicalId\":426349,\"journal\":{\"name\":\"ASP-DAC 2004: Asia and South Pacific Design Automation Conference 2004 (IEEE Cat. No.04EX753)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-01-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ASP-DAC 2004: Asia and South Pacific Design Automation Conference 2004 (IEEE Cat. No.04EX753)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASPDAC.2004.1337628\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ASP-DAC 2004: Asia and South Pacific Design Automation Conference 2004 (IEEE Cat. No.04EX753)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASPDAC.2004.1337628","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

我们表明,通过使用电感矩阵的逆形式,电流变量在瞬态分析中不再是必要的。此外,我们还发明了一种方法,即使在稳态分析中也可以删除它们,同时在两种分析中保持相同的稀疏矩阵拓扑。这一去除给计算带来了足够有效的加速和稳定性。为大规模集成电路电网信号完整性的精确数值验证开辟了一条道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Large-scale linear circuit simulation with an inversed inductance matrix
We show that by using an inversed form of an inductance matrix, the current variables become no more necessary in a transient analysis. Furthermore we have invented a way to remove them even in a steady state analysis while preserving the same sparse matrix topology throughout the both analyses. The removal has brought about a sufficiently effective speed-up and stability of calculation. It opens a way to the accurate numerical verification of large-scale signal integrity as in a power grid of LSI.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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