PROTON – A Python Framework for Physics-Based Electromigration Assessment on Contemporary VLSI Power Grids

Olympia Axelou, Eleni Tselepi, G. Floros, N. Evmorfopoulos, G. Stamoulis
{"title":"PROTON – A Python Framework for Physics-Based Electromigration Assessment on Contemporary VLSI Power Grids","authors":"Olympia Axelou, Eleni Tselepi, G. Floros, N. Evmorfopoulos, G. Stamoulis","doi":"10.1109/SMACD58065.2023.10192229","DOIUrl":null,"url":null,"abstract":"Electromigration (EM) is a significant reliability concern in modern circuit design practices that poses a considerable risk to the long-term reliability of contemporary integrated circuits and attracts attention from the EDA industry. Hence, the development of a robust, industrial-level EM analysis tool is crucial. In order to address this challenge, we present PROTON, an open-source tool that can be straightforwardly integrated into industrial design flows covering a wide spectrum of EM analysis needs. On top of this, it offers an intuitive graphical user interface with a high level of automation that allows the visualization of EM stress analysis on power grid designs. The core of PROTON incorporates state-of-the-art methodologies for physics-based EM stress analysis which provide robustness and scalability in handling large-scale power grid designs. These are experimentally verified in comparison with the industrial tool COMSOL on multiple benchmarks where PROTON demonstrated a speedup of ×685 with negligible loss in accuracy.","PeriodicalId":239306,"journal":{"name":"2023 19th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 19th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMACD58065.2023.10192229","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

Electromigration (EM) is a significant reliability concern in modern circuit design practices that poses a considerable risk to the long-term reliability of contemporary integrated circuits and attracts attention from the EDA industry. Hence, the development of a robust, industrial-level EM analysis tool is crucial. In order to address this challenge, we present PROTON, an open-source tool that can be straightforwardly integrated into industrial design flows covering a wide spectrum of EM analysis needs. On top of this, it offers an intuitive graphical user interface with a high level of automation that allows the visualization of EM stress analysis on power grid designs. The core of PROTON incorporates state-of-the-art methodologies for physics-based EM stress analysis which provide robustness and scalability in handling large-scale power grid designs. These are experimentally verified in comparison with the industrial tool COMSOL on multiple benchmarks where PROTON demonstrated a speedup of ×685 with negligible loss in accuracy.
质子-当代VLSI电网基于物理的电迁移评估的Python框架
电迁移(EM)是现代电路设计实践中一个重要的可靠性问题,它对当代集成电路的长期可靠性构成了相当大的风险,引起了EDA行业的关注。因此,开发一个强大的工业级EM分析工具至关重要。为了应对这一挑战,我们提出了PROTON,这是一个可以直接集成到工业设计流程中的开源工具,涵盖了广泛的EM分析需求。最重要的是,它提供了一个直观的图形用户界面,具有高水平的自动化,允许对电网设计的电磁应力分析进行可视化。质子的核心采用了最先进的方法,用于基于物理的电磁应力分析,为处理大规模电网设计提供了鲁棒性和可扩展性。与工业工具COMSOL在多个基准测试中进行了实验验证,其中质子的加速速度为×685,精度损失可以忽略不计。
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