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
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;
Journal_Title :
Computers & Digital Techniques, IET
DOI :
10.1049/iet-cdt.2013.0104