{"title":"利用电路感知技术高效的基于peec的电感提取","authors":"Haitian Hu, S. Sapatnekar","doi":"10.1109/ICCD.2002.1106808","DOIUrl":null,"url":null,"abstract":"Practical approaches for on-chip inductance extraction to obtain a sparse, stable and accurate inverse inductance matrix K are proposed. The novelty of our work is in using circuit characteristics to define the concept of resistance-dominant and inductance-dominant lines. This notion is used to progressively refine a set of clusters that are inductively tightly-coupled. For reasonable designs, the more exact algorithm yields a sparsification of 97% for delay and oscillation magnitude errors of 10% and 15%, respectively, while the more approximate algorithm achieves up to 99% sparsification. An offshoot of this work is K-PRIMA, an extension of PRIMA to handle K matrices with guaranteed passivity.","PeriodicalId":164768,"journal":{"name":"Proceedings. IEEE International Conference on Computer Design: VLSI in Computers and Processors","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Efficient PEEC-based inductance extraction using circuit-aware techniques\",\"authors\":\"Haitian Hu, S. Sapatnekar\",\"doi\":\"10.1109/ICCD.2002.1106808\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Practical approaches for on-chip inductance extraction to obtain a sparse, stable and accurate inverse inductance matrix K are proposed. The novelty of our work is in using circuit characteristics to define the concept of resistance-dominant and inductance-dominant lines. This notion is used to progressively refine a set of clusters that are inductively tightly-coupled. For reasonable designs, the more exact algorithm yields a sparsification of 97% for delay and oscillation magnitude errors of 10% and 15%, respectively, while the more approximate algorithm achieves up to 99% sparsification. An offshoot of this work is K-PRIMA, an extension of PRIMA to handle K matrices with guaranteed passivity.\",\"PeriodicalId\":164768,\"journal\":{\"name\":\"Proceedings. IEEE International Conference on Computer Design: VLSI in Computers and Processors\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. IEEE International Conference on Computer Design: VLSI in Computers and Processors\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCD.2002.1106808\",\"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. IEEE International Conference on Computer Design: VLSI in Computers and Processors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCD.2002.1106808","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Efficient PEEC-based inductance extraction using circuit-aware techniques
Practical approaches for on-chip inductance extraction to obtain a sparse, stable and accurate inverse inductance matrix K are proposed. The novelty of our work is in using circuit characteristics to define the concept of resistance-dominant and inductance-dominant lines. This notion is used to progressively refine a set of clusters that are inductively tightly-coupled. For reasonable designs, the more exact algorithm yields a sparsification of 97% for delay and oscillation magnitude errors of 10% and 15%, respectively, while the more approximate algorithm achieves up to 99% sparsification. An offshoot of this work is K-PRIMA, an extension of PRIMA to handle K matrices with guaranteed passivity.