DocumentCode :
42652
Title :
Physical-aware systematic multiple defect diagnosis
Author :
Po-Juei Chen ; Chieh-Chih Che ; Li, James Chien-Mo ; Shuo-Fen Kuo ; Pei-Ying Hsueh ; Chun-Yi Kuo ; Jih-Nung Lee
Author_Institution :
Grad. Inst. of Electron. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Volume :
8
Issue :
5
fYear :
2014
fDate :
Sep-14
Firstpage :
199
Lastpage :
209
Abstract :
This study presents a systematic defect diagnosis to identify `culprit physical features´ that are potentially responsible for yield loss. A `single location in-a-cluster´ technique is proposed to diagnose multiple defects that may not be diagnosed by traditional `single location at-a-time´ technique. A statistics technique, `analysis of variance´, is conducted to reduce noise from random defects. Simulations on five ISCAS´89 circuit demonstrate the effectiveness of the authors´ techniques. An experiment on an industrial design manufactured in 55 nm technology discovered a suspected culprit physical feature.
Keywords :
fault diagnosis; integrated circuit layout; integrated circuit reliability; statistical analysis; IC; ISCAS´89 circuit; analysis of variance; culprit physical feature identification; industrial design; noise reduction; physical-aware systematic multiple defect diagnosis; random defects; single location at-a-time technique; single location in-a-cluster technique; size 55 nm; statistics technique;
fLanguage :
English
Journal_Title :
Computers & Digital Techniques, IET
Publisher :
iet
ISSN :
1751-8601
Type :
jour
DOI :
10.1049/iet-cdt.2013.0104
Filename :
6882276
Link To Document :
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