Parametric Hierarchy Recovery in Layout Extracted Netlists

John Lee, Puneet Gupta, F. Pikus
{"title":"Parametric Hierarchy Recovery in Layout Extracted Netlists","authors":"John Lee, Puneet Gupta, F. Pikus","doi":"10.1109/ISVLSI.2012.18","DOIUrl":null,"url":null,"abstract":"Modern IC design flows depend on hierarchy to manage the complexity of large-scale designs, however, due to the increased impact of long-range layout context on device behavior, extraction tools flatten these designs. As a result, in post-layout extraction, the hierarchy is lost and the designs are flattened, increasing both the size of the design database, and the amount of runtime that is needed to process these designs. In this paper, the idea of parametric hierarchy recovery is proposed that takes net lists extracted from the design layout, and recovers their hierarchical structure while preserving parametric accuracy. This decreases the size of the netlist and enables the use of hierarchical comparison methods and analysis. Our experiments show that in physical verification this method leads to a 70% reduction in runtime on average without any parametric error. Furthermore, this method can be used to provide tractable timing and power analysis that utilizes detailed transistor information in the presence of systematic layout-dependent variation.","PeriodicalId":398850,"journal":{"name":"2012 IEEE Computer Society Annual Symposium on VLSI","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Computer Society Annual Symposium on VLSI","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISVLSI.2012.18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Modern IC design flows depend on hierarchy to manage the complexity of large-scale designs, however, due to the increased impact of long-range layout context on device behavior, extraction tools flatten these designs. As a result, in post-layout extraction, the hierarchy is lost and the designs are flattened, increasing both the size of the design database, and the amount of runtime that is needed to process these designs. In this paper, the idea of parametric hierarchy recovery is proposed that takes net lists extracted from the design layout, and recovers their hierarchical structure while preserving parametric accuracy. This decreases the size of the netlist and enables the use of hierarchical comparison methods and analysis. Our experiments show that in physical verification this method leads to a 70% reduction in runtime on average without any parametric error. Furthermore, this method can be used to provide tractable timing and power analysis that utilizes detailed transistor information in the presence of systematic layout-dependent variation.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
布局提取网表中的参数层次恢复
现代IC设计流程依赖于层次结构来管理大规模设计的复杂性,然而,由于远程布局上下文对器件行为的影响越来越大,提取工具使这些设计扁平化。因此,在布局后提取中,层次结构丢失,设计被扁平化,增加了设计数据库的大小,以及处理这些设计所需的运行时间。本文提出了从设计布局中提取网表,在保持参数精度的前提下恢复网表的层次结构的参数化层次恢复思想。这减少了网表的大小,并允许使用分层比较方法和分析。我们的实验表明,在物理验证中,该方法在没有任何参数误差的情况下,平均减少了70%的运行时间。此外,该方法可用于提供易于处理的时序和功率分析,在存在系统布局相关变化的情况下利用详细的晶体管信息。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Code Motion for Migration Minimization in STT-RAM Based Hybrid Cache Design, Synthesis and Test of Reversible Circuits for Emerging Nanotechnologies A 3D-NoC Router Implementation Exploiting Vertically-Partially-Connected Topologies Temporal Performance Degradation under RTN: Evaluation and Mitigation for Nanoscale Circuits A Novel Design of Secure and Private Circuits
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1