Logic characterization vehicle design reflection via layout rewiring

Phillip Fynan, Z. Liu, Ben Niewenhuis, Soumya Mittal, Marcin Strajwas, R. D. Blanton
{"title":"Logic characterization vehicle design reflection via layout rewiring","authors":"Phillip Fynan, Z. Liu, Ben Niewenhuis, Soumya Mittal, Marcin Strajwas, R. D. Blanton","doi":"10.1109/TEST.2016.7805849","DOIUrl":null,"url":null,"abstract":"Continued scaling of semiconductor fabrication processes has made achieving yield targets increasingly difficult. The design and fabrication of various types of test vehicles is one approach for enabling fast yield learning. Recent work introduced the Carnegie Mellon logic characterization vehicle (CM-LCV). The CM-LCV design methodology uses regularity and existing testability theory to produce logic-based designs that are both highly testable and diagnosable. For the CM-LCV to be effective for yield learning, it must reflect the design characteristics of actual product layouts. Previous work enables incorporation of a standard-cell distribution derived from product designs into an LCV while simultaneously ensuring optimal testability. In this work, a new method is proposed for constructing a CM-LCV that reflects the design characteristics of a product through rewiring either the entire layout or some portion thereof. Four different approaches for rewiring are examined, and the results of each approach are evaluated using a variety of metrics. Experiment results reveal that a product layout can be easily rewired to construct an LCV with reasonable wirelength with reasonable CPU time. Rewiring has many advantages including the transformation of an actual product front-end to a logic-based test chip that has significant transparency to failure. Consequently, this means that front-end masks from an actual product can be re-used to create an effective LCV that is both more reflective and inexpensive to fabricate.","PeriodicalId":210661,"journal":{"name":"2016 IEEE International Test Conference (ITC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Test Conference (ITC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TEST.2016.7805849","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

Continued scaling of semiconductor fabrication processes has made achieving yield targets increasingly difficult. The design and fabrication of various types of test vehicles is one approach for enabling fast yield learning. Recent work introduced the Carnegie Mellon logic characterization vehicle (CM-LCV). The CM-LCV design methodology uses regularity and existing testability theory to produce logic-based designs that are both highly testable and diagnosable. For the CM-LCV to be effective for yield learning, it must reflect the design characteristics of actual product layouts. Previous work enables incorporation of a standard-cell distribution derived from product designs into an LCV while simultaneously ensuring optimal testability. In this work, a new method is proposed for constructing a CM-LCV that reflects the design characteristics of a product through rewiring either the entire layout or some portion thereof. Four different approaches for rewiring are examined, and the results of each approach are evaluated using a variety of metrics. Experiment results reveal that a product layout can be easily rewired to construct an LCV with reasonable wirelength with reasonable CPU time. Rewiring has many advantages including the transformation of an actual product front-end to a logic-based test chip that has significant transparency to failure. Consequently, this means that front-end masks from an actual product can be re-used to create an effective LCV that is both more reflective and inexpensive to fabricate.
逻辑表征车辆设计反映通过布局重新布线
半导体制造工艺的持续规模化使得实现良率目标变得越来越困难。设计和制造各种类型的测试车辆是实现快速良率学习的一种方法。最近的工作介绍了卡内基梅隆逻辑表征载体(CM-LCV)。CM-LCV设计方法利用规律性和现有的可测试性理论来产生基于逻辑的设计,这些设计既可测试又可诊断。CM-LCV要想有效地进行良率学习,就必须反映实际产品布局的设计特征。以前的工作可以将从产品设计中获得的标准单元分布纳入LCV,同时确保最佳的可测试性。在这项工作中,提出了一种新的方法来构建CM-LCV,通过重新布线整个布局或其中的某些部分来反映产品的设计特征。研究了四种不同的重新布线方法,并使用各种度量对每种方法的结果进行了评估。实验结果表明,产品布局可以很容易地重新布线,以构建具有合理的带宽和合理的CPU时间的LCV。重新布线有许多优点,包括将实际产品前端转换为基于逻辑的测试芯片,从而对故障具有显著的透明度。因此,这意味着来自实际产品的前端掩模可以重复使用,以创建有效的LCV,既更具反射性,又制造成本低廉。
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:604180095
Book学术官方微信