Title
Analysis and mitigation of NBTI-induced performance degradation for power-gated circuits
Abstract
Device aging, which causes significant loss on circuit performance and lifetime, has been a main factor in reliability degradation of nanoscale designs. Aggressive technology scaling trends, such as thinner gate oxide without proportional downscaling of supply voltage, necessitate an aging-aware analysis and optimization flow in the early design stages. Since PMOS sleep transistors in power-gated circuits suffer from static NBTI during active mode and age very rapidly, the aging of power-gated circuits should be explicitly addressed. In this paper, for power-gated circuits, we present a novel methodology for analyzing and mitigating NBTI-induced performance degradation. Aging effects on both logic networks and sleep transistors are jointly considered for accurate analysis. By introducing 25% redundant sleep transistors with reverse body bias applied, the proposed methodology can significantly mitigate the long-term performance degradation and thus extend the circuit lifetime by 3X.
Year
DOI
Venue
2011
10.1109/ISLPED.2011.5993626
ISLPED
Keywords
Field
DocType
aging effects,aging,leakage,logic networks,aging-aware analysis,mitigating nbti-induced performance degradation,nbti-induced performance degradation mitigation,pmos sleep transistors,power-gated circuit,long-term performance degradation,circuit lifetime,accurate analysis,semiconductor device reliability,reverse body bias,novel methodology,nbti,power-gated circuits,reliability degradation,circuit performance,mosfet,proposed methodology,ageing,power gating,integrated circuit,transistors,degradation,logic gate,mathematical model,logic gates
Logic gate,Leakage (electronics),Computer science,Electronic engineering,Real-time computing,Power gating,Gate oxide,MOSFET,Electronic circuit,Transistor,PMOS logic
Conference
ISSN
ISBN
Citations 
Pending E-ISBN : 978-1-61284-659-0
978-1-61284-659-0
7
PageRank 
References 
Authors
0.48
17
4
Name
Order
Citations
PageRank
Kai-Chiang Wu111313.98
Diana Marculescu22725223.87
Ming-Chao Lee3484.66
Shih-Chieh Chang431428.64