Optimized Built-In Self-Repair for Multiple Memories

Wooheon Kang, Changwook Lee, Hyunyul Lim, Sungho Kang

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)


A new built-in self-repair (BISR) scheme is proposed for multiple embedded memories to find optimum point of the performance of BISR for multiple embedded memories. All memories are concurrently tested by the small dedicated built-in self-test to figure out the faulty memories, the number of faults, and irreparability. After all memories are tested, only faulty memories are serially tested and repaired by the shared built-in redundancy analysis according to the sizes of memories in descending order. Thus, the fast test and repair are performed with low area overhead. To accomplish an optimal repair rate and a fast analysis speed, an exhaustive search for all combinations of spare rows and columns is proposed based on the optimized fault collection. Experimental results show that the proposed BISR has the optimal repair rate because of the exhaustive search. The performance of the proposed BISR is located in the optimum point between the test and repair time, and the area overhead. For example, the proposed BISR requires 49.6% of the area and 1.3 times of the test and repair time in comparison with parallel BISR scheme for four memories (one 128 K, two 256 K, and one 512 K memories). Furthermore, the more there are memories, the more superior performance in terms of the test and repair time, and the area overhead is shown.

Original languageEnglish
Article number7349243
Pages (from-to)2174-2183
Number of pages10
JournalIEEE Transactions on Very Large Scale Integration (VLSI) Systems
Issue number6
Publication statusPublished - 2016 Jun

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea through the Ministry of Science, ICT and Future Planning of the Korean Government under Grant 2015R1A2A1A13001751.

Publisher Copyright:
© 2016 IEEE.

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Electrical and Electronic Engineering


Dive into the research topics of 'Optimized Built-In Self-Repair for Multiple Memories'. Together they form a unique fingerprint.

Cite this