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Diagnosis for Reconfigurable Single-Electron Transistor Arrays with a More Generalized Defect Model.

Authors :
CHIA-CHENG WU
YI-HSIANG HU
CHIA-CHUN LIN
YUNG-CHIH CHEN
JUINN-DAR HUANG
CHUN-YAO WANG
Source :
ACM Journal on Emerging Technologies in Computing Systems; Apr2021, Vol. 17 Issue 2, p1-23, 23p
Publication Year :
2021

Abstract

Singe-Electron Transistor (SET) is considered as a promising candidate of low-power devices for replacement or co-existence with Complementary Metal-Oxide-Semiconductor (CMOS) transistors/circuits. In this work, we propose a diagnosis approach for SET array under a more generalized defect model. With the more generalized defect model, the diagnosis approach will become more practical but complicated. We conducted experiments on a set of SET arrays with different dimensions and defect rates. The experimental results show that our approach only has 3.8% false-negative rate and 0.7% misjudged-category rate on average without reporting any false-positive edge when the defect rate is 4%. Therefore, the proposed diagnosis approach can diagnose the defective SET arrays and elevate the reliability of the SET arrays in the synthesis flow. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15504832
Volume :
17
Issue :
2
Database :
Complementary Index
Journal :
ACM Journal on Emerging Technologies in Computing Systems
Publication Type :
Academic Journal
Accession number :
150273389
Full Text :
https://doi.org/10.1145/3444751