A Yield and Reliability Improvement Methodology Based on Logic Redundant Repair with a Repairable Scan Flip-Flop Designed by Push Rule

Author:

Kurimoto Masanori1,Matsushima Jun1,Ohbayashi Shigeki1,Fukui Yoshiaki1,Komoda Michio1,Tsuda Nobuhiro1

Affiliation:

1. Renesas Electronics Corporation

Abstract

We propose a yield improvement methodology which repairs a faulty chip due to logic defect by using a repairable scan flip-flop (R-SFF). Our methodology improves area penalty, which is a large issue for logic repair technology in actual products, by using repair grouping and a redundant cell insertion algorithm and by pushing the design rule for the repairable area of R-SFF. Additionally, compared with the conventional method, we reduce the number of wire connections around redundant cells by improving the replacement method of the faulty cell by the redundant cell. The proposed methodology reduces the total area penalty caused by the logic redundant repair to 3.6% and improves the yield, that is the number of good chips on a wafer, by 4.7% when the defect density is 1.0[1/cm^2]. Furthermore, we propose the strategy to repair the in-field failures due to latent defect for the chip whose repair function had not been used in the shipment test.

Publisher

Association for Computing Machinery (ACM)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Logic Diagnosis with Hybrid Fail Data;ACM Transactions on Design Automation of Electronic Systems;2021-05-31

2. Test Scores for Improving the Accuracy of Logic Diagnosis for Multiple Defects;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2019-07

3. Test Modification for Reduced Volumes of Fail Data;ACM Transactions on Design Automation of Electronic Systems;2017-07-22

4. Generation of Transparent-Scan Sequences for Diagnosis of Scan Chain Faults;ACM Transactions on Design Automation of Electronic Systems;2017-05-31

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