Smart Logic Built in Self-Test in SOC

Manibha Sharma, J. Dhanoa
{"title":"Smart Logic Built in Self-Test in SOC","authors":"Manibha Sharma, J. Dhanoa","doi":"10.1109/ICRAIE51050.2020.9358296","DOIUrl":null,"url":null,"abstract":"DFT (Design for Testability) is a methodology of testing for manufacturing defects in a chip. DFT consists of scan, ATPG (Automatic test pattern generation) methodologies and the BIST (Built in self-test) methods. This paper explores ATPG for pattern generation and LBIST (Logic built-in self-test) for testing. LBIST is explored and tested using pseudorandom test pattern generation. The fault list created for undetected faults are dumped into ATPG and fault specific test patterns are generated. These patterns detect the random pattern resistant faults (which are undetected by pseudorandom testing patterns). Further, a smart compression algorithm is defined to compress the pattern which can be stored inside the chip for LBIST testing, with no added memory overhead, and the minimum extra hardware (which only comprises of combinational logic). The proposed algorithm has been reviewed and analyzed and it has been found that the fault coverage achieved is 86.01%.","PeriodicalId":149717,"journal":{"name":"2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRAIE51050.2020.9358296","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

DFT (Design for Testability) is a methodology of testing for manufacturing defects in a chip. DFT consists of scan, ATPG (Automatic test pattern generation) methodologies and the BIST (Built in self-test) methods. This paper explores ATPG for pattern generation and LBIST (Logic built-in self-test) for testing. LBIST is explored and tested using pseudorandom test pattern generation. The fault list created for undetected faults are dumped into ATPG and fault specific test patterns are generated. These patterns detect the random pattern resistant faults (which are undetected by pseudorandom testing patterns). Further, a smart compression algorithm is defined to compress the pattern which can be stored inside the chip for LBIST testing, with no added memory overhead, and the minimum extra hardware (which only comprises of combinational logic). The proposed algorithm has been reviewed and analyzed and it has been found that the fault coverage achieved is 86.01%.
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
智能逻辑内置在SOC自检
DFT(可测试性设计)是一种测试芯片制造缺陷的方法。DFT包括扫描、自动测试模式生成(ATPG)方法和内建自检(BIST)方法。本文探讨了用于模式生成的ATPG和用于测试的LBIST(逻辑内置自检)。使用伪随机测试模式生成对LBIST进行了探索和测试。为未检测到的故障创建的故障列表被转储到ATPG中,并生成与故障相关的测试模式。这些模式检测随机模式抗性故障(伪随机测试模式无法检测到)。此外,定义了一种智能压缩算法来压缩可以存储在芯片内的模式以进行LBIST测试,而不增加内存开销,并且最小的额外硬件(仅由组合逻辑组成)。对提出的算法进行了评审和分析,发现实现的故障覆盖率为86.01%。
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
COVID19: Impact on Indian Power Sector Smart Logic Built in Self-Test in SOC 2020 5th IEEE International Conference (Virtual Mode) on Recent Advances and Innovations in Engineering (IEEE - ICRAIE-2020) Hybrid Ant Colony Optimization Algorithm for Multiple Knapsack Problem Outage Probability Evaluation for Relay-Based DF Cooperative Diversity Systems with Multipath Fading Channels and Non-Identical Interferers
×
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