Fast Built-In Redundancy Analysis Based on Sequential Spare Line Allocation

Hayoung Lee, Jooyoung Kim, Keewon Cho, Sungho Kang

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

Built-in redundancy analysis (BIRA) is widely used for memory yield improvement. However, increases in fault occurrence probability inevitably lead to the use of various spare lines to achieve a high repair rate. Generally, it is difficult to apply conventional BIRAs for memories with various spare lines because they focus on a simple spare structure. Therefore, this study examines a BIRA that focuses on a various spare lines structure. The proposed BIRA achieves a high repair rate through the use of various spare lines. Although long analysis time is typically required due to the use of various spare lines, the proposed BIRA solves the problem through sequential spare line allocation. Additionally, it achieves hardware overhead reduction through a simple analyzer. These advantages of the proposed BIRA are demonstrated experimentally.

Original languageEnglish
Pages (from-to)264-273
Number of pages10
JournalIEEE Transactions on Reliability
Volume67
Issue number1
DOIs
Publication statusPublished - 2018 Mar

Bibliographical note

Funding Information:
Manuscript received May 23, 2017; revised September 15, 2017 and October 11, 2017; accepted November 24, 2017. Date of publication January 9, 2018; date of current version March 1, 2018. This research was supported by the MOTIE (Ministry of Trade, Industry & Energy (10052875) and KSRC(Korea Semiconductor Research Consortium) support program for the development of the future semiconductor device. Associate Editor: W.-T. Chien. (Corresponding author: Sungho Kang.) H. Lee, K. Cho, and S. Kang are with the Computer Systems Reliable SOC Laboratory, Department of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, South Korea (e-mail: yseehy214@soc.yonsei.ac.kr; ckw1510@soc.yonsei.ac.kr; shkang@yonsei.ac.kr).

Publisher Copyright:
© 2018 IEEE.

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality
  • Electrical and Electronic Engineering

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