{"title":"千兆级集成(GSI)的随机导线长度分布","authors":"Jeffrey A. Davis, Vivek De, James D. Meindl","doi":"10.1109/CICC.1997.606603","DOIUrl":null,"url":null,"abstract":"Based on Rent's Rule, a well established empirical relationship, a rigorous derivation of a complete wire length distribution for on-chip random logic networks is performed. This distribution is used to enhance a critical path model; to derive a preliminary dynamic power dissipation model; and to describe optimal architectures for multilevel wiring networks that provide maximum interconnect density.","PeriodicalId":111737,"journal":{"name":"Proceedings of CICC 97 - Custom Integrated Circuits Conference","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"126","resultStr":"{\"title\":\"A stochastic wire length distribution for gigascale integration (GSI)\",\"authors\":\"Jeffrey A. Davis, Vivek De, James D. Meindl\",\"doi\":\"10.1109/CICC.1997.606603\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on Rent's Rule, a well established empirical relationship, a rigorous derivation of a complete wire length distribution for on-chip random logic networks is performed. This distribution is used to enhance a critical path model; to derive a preliminary dynamic power dissipation model; and to describe optimal architectures for multilevel wiring networks that provide maximum interconnect density.\",\"PeriodicalId\":111737,\"journal\":{\"name\":\"Proceedings of CICC 97 - Custom Integrated Circuits Conference\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-05-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"126\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of CICC 97 - Custom Integrated Circuits Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CICC.1997.606603\",\"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 of CICC 97 - Custom Integrated Circuits Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICC.1997.606603","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A stochastic wire length distribution for gigascale integration (GSI)
Based on Rent's Rule, a well established empirical relationship, a rigorous derivation of a complete wire length distribution for on-chip random logic networks is performed. This distribution is used to enhance a critical path model; to derive a preliminary dynamic power dissipation model; and to describe optimal architectures for multilevel wiring networks that provide maximum interconnect density.
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