利用内置自修复技术提高内存产量和修复率的方案

Jyotika, Balwinder Singh
{"title":"利用内置自修复技术提高内存产量和修复率的方案","authors":"Jyotika, Balwinder Singh","doi":"10.1109/CIPECH.2014.7019092","DOIUrl":null,"url":null,"abstract":"Memory is an important part of every computing system. In SOC, 90 to 92% of the total chip area is covered by embedded memories (ITRS 2009) and that means memory density is higher than the logic density. Therefore testing and diagnosis of memories are important issues in the SOCs. Yield of memory is affected by the faults present in memory which also affects the yield of SOC. Built in self-repair techniques are used to repair the embedded memories. Built in self-repair techniques are used for the better yield of the system by using various techniques like 1-D Redundancy and 2-D Redundancy. Test, Redundancy analysis, Repair delivery are the three basic steps for the memory repair. A built in redundancy algorithms (BIRA) are used to implement built in self-repair (BISR).","PeriodicalId":170027,"journal":{"name":"2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)","volume":"152 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Memory yield and repair rate improvement scheme using built in self repair techniques\",\"authors\":\"Jyotika, Balwinder Singh\",\"doi\":\"10.1109/CIPECH.2014.7019092\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Memory is an important part of every computing system. In SOC, 90 to 92% of the total chip area is covered by embedded memories (ITRS 2009) and that means memory density is higher than the logic density. Therefore testing and diagnosis of memories are important issues in the SOCs. Yield of memory is affected by the faults present in memory which also affects the yield of SOC. Built in self-repair techniques are used to repair the embedded memories. Built in self-repair techniques are used for the better yield of the system by using various techniques like 1-D Redundancy and 2-D Redundancy. Test, Redundancy analysis, Repair delivery are the three basic steps for the memory repair. A built in redundancy algorithms (BIRA) are used to implement built in self-repair (BISR).\",\"PeriodicalId\":170027,\"journal\":{\"name\":\"2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)\",\"volume\":\"152 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIPECH.2014.7019092\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIPECH.2014.7019092","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

存储器是每个计算系统的重要组成部分。在 SOC 中,嵌入式存储器占芯片总面积的 90% 至 92%(ITRS,2009 年),这意味着存储器密度高于逻辑密度。因此,存储器的测试和诊断是 SOC 中的重要问题。存储器的良品率受存储器故障的影响,而存储器故障也会影响 SOC 的良品率。内置自修复技术用于修复嵌入式存储器。内置自修复技术通过使用各种技术(如 1-D 冗余和 2-D 冗余)来提高系统的良品率。测试、冗余分析和修复交付是内存修复的三个基本步骤。内置冗余算法(BIRA)用于实现内置自修复(BISR)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Memory yield and repair rate improvement scheme using built in self repair techniques
Memory is an important part of every computing system. In SOC, 90 to 92% of the total chip area is covered by embedded memories (ITRS 2009) and that means memory density is higher than the logic density. Therefore testing and diagnosis of memories are important issues in the SOCs. Yield of memory is affected by the faults present in memory which also affects the yield of SOC. Built in self-repair techniques are used to repair the embedded memories. Built in self-repair techniques are used for the better yield of the system by using various techniques like 1-D Redundancy and 2-D Redundancy. Test, Redundancy analysis, Repair delivery are the three basic steps for the memory repair. A built in redundancy algorithms (BIRA) are used to implement built in self-repair (BISR).
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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