{"title":"TSV Built-In Self-Repair Architecture for Lifespan Reliability Enhancement of HBM","authors":"Donghyun Han;Duyeon Won;Sunghoon Kim;Sungho Kang","doi":"10.1109/TR.2024.3434631","DOIUrl":null,"url":null,"abstract":"High-bandwidth memory (HBM) is one of the 3-D stacked memory standards that demonstrate high performance, including high bandwidth, large capacity, and low power consumption. However, despite these advantages, issues related to reliability and yield have imposed limitations on mass production. Various methodologies to enhance the reliability of HBM have been proposed, such as built-in self-repair (BISR) architectures and error correction code algorithms. Nevertheless, ensuring the reliability of through-silicon vias (TSV) remains a challenging problem. Existing built-in architectures aiming to enhance TSV reliability often incur significant hardware overhead, limiting practical applications. In this article, an innovative TSV BISR architecture that can detect and repair permanent TSV faults in real time at the user stage is proposed. The proposed architecture significantly enhances the reliability of HBM while implementing it with minimal hardware overhead. Furthermore, it effectively identifies both temporary errors and permanent TSV faults, enabling efficient TSV repairs. Through fast and accurate TSV fault repair, the proposed architecture substantially improves the reliability of HBM.","PeriodicalId":56305,"journal":{"name":"IEEE Transactions on Reliability","volume":"74 3","pages":"4143-4157"},"PeriodicalIF":5.7000,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Reliability","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10629069/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
High-bandwidth memory (HBM) is one of the 3-D stacked memory standards that demonstrate high performance, including high bandwidth, large capacity, and low power consumption. However, despite these advantages, issues related to reliability and yield have imposed limitations on mass production. Various methodologies to enhance the reliability of HBM have been proposed, such as built-in self-repair (BISR) architectures and error correction code algorithms. Nevertheless, ensuring the reliability of through-silicon vias (TSV) remains a challenging problem. Existing built-in architectures aiming to enhance TSV reliability often incur significant hardware overhead, limiting practical applications. In this article, an innovative TSV BISR architecture that can detect and repair permanent TSV faults in real time at the user stage is proposed. The proposed architecture significantly enhances the reliability of HBM while implementing it with minimal hardware overhead. Furthermore, it effectively identifies both temporary errors and permanent TSV faults, enabling efficient TSV repairs. Through fast and accurate TSV fault repair, the proposed architecture substantially improves the reliability of HBM.
期刊介绍:
IEEE Transactions on Reliability is a refereed journal for the reliability and allied disciplines including, but not limited to, maintainability, physics of failure, life testing, prognostics, design and manufacture for reliability, reliability for systems of systems, network availability, mission success, warranty, safety, and various measures of effectiveness. Topics eligible for publication range from hardware to software, from materials to systems, from consumer and industrial devices to manufacturing plants, from individual items to networks, from techniques for making things better to ways of predicting and measuring behavior in the field. As an engineering subject that supports new and existing technologies, we constantly expand into new areas of the assurance sciences.