Ecc-aware fast and reliable pattern matching redundancy analysis for highly reliable memory

Donghyun Han, Hayoung Lee, Seungtaek Lee, Sungho Kang

Research output: Contribution to journalArticlepeer-review

Abstract

Advanced capacity and density of memory have resulted in an increase in the probability of memory faults. The in-memory Error Correction Code (ECC), which solves this problem, is a widely used technology to improve the yield of highly integrated memory. However, the use of in-memory ECC causes problems that have not been considered in memory repair algorithms. Redundancy analysis is effective for repairing memory with redundant memory and in-memory ECC. In this paper, an ECC-aware fast and reliable pattern matching redundancy analysis algorithm for memory using both spare memory and in-memory ECC is proposed. This algorithm simplifies large-scale fault groups using in-memory ECC and includes an early termination method that can determine whether a memory that cannot be repaired with line spares can be repaired considering in-memory ECC. Experimental results show that the proposed pattern matching redundancy analysis algorithm achieves a similar yield but 14.6% less RA time and 8.6 times higher reliability compared to the existing redundancy analysis algorithms.

Original languageEnglish
Pages (from-to)133274-133288
Number of pages15
JournalIEEE Access
Volume9
DOIs
Publication statusPublished - 2021

Bibliographical note

Publisher Copyright:
© 2013 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

Fingerprint

Dive into the research topics of 'Ecc-aware fast and reliable pattern matching redundancy analysis for highly reliable memory'. Together they form a unique fingerprint.

Cite this