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Accurate Conjunction of Yield Models for Fault-Tolerant Memory Integrated Circuits

Authors
Ha, ChunghunKuo, WayHwang, Jung Yoon
Issue Date
Aug-2009
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Fault tolerant systems; yield modeling; Fault-tolerance; Monte Carlo simulation; semiconductor manufacturing; yield modeling
Citation
IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, v.22, no.3, pp.344 - 350
Journal Title
IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING
Volume
22
Number
3
Start Page
344
End Page
350
URI
https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/21822
DOI
10.1109/TSM.2009.2024843
ISSN
0894-6507
Abstract
Critical defects, i.e., faults, inevitably occur during semiconductor fabrication, and they significantly reduce both manufacturing yield and product reliability. To decrease the effects of the defects, several fault-tolerance methods, such as the redundancy technique and the error correcting code (ECC), have been successfully applied to memory integrated circuits. In the semiconductor business, accurate estimation of yield and reliability is very important for determining the chip architecture as well as the production plan. However, a simple conjunction of previous fault-tolerant yield models tends to underestimate the manufacturing yield if several fault-tolerance techniques are employed simultaneously. This paper concentrates on developing and verifying an accurate yield model which can be applied successfully in such situations. The proposed conjunction model has been derived from the probability of remaining redundancies and the average number of defects after repairing the defects with the remaining redundancies. The validity of the conjunction yield model is verified by a Monte Carlo simulation.
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Engineering (Department of Industrial and Data Engineering)
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