Title
An analytical approach to efficient circuit variability analysis in scaled CMOS design
Abstract
CMOS scaling has led to increasingly high variability in device and circuit performance. To improve design robustness, it is important to consider variation in the design flow. In this paper a closed-form solution is proposed to predict the variability in gate timing, which significantly reduces computation cost in statistical analysis. The proposed model covers both nominal delay and its variability across a wide range of device sizes, load capacitances and input transition times. Stack effect, such as that in NAND and NOR gates, is taken into account thereby making the model sensitive to the switching patterns. For ISCAS'85 benchmark circuits, implemented using a 45nm library, the model demonstrates high accuracy with less than 3.5% error for nominal delay and within 5ps variation of the critical path. Finally, use of the proposed model in design flow is demonstrated for setup time violations.
Year
DOI
Venue
2012
10.1109/ISQED.2012.6187560
Quality Electronic Design
Keywords
Field
DocType
CMOS logic circuits,NAND circuits,NOR circuits,delays,integrated circuit design,logic design,logic gates,statistical analysis,timing circuits,ISCAS'85 benchmark circuit,NAND gate,NOR gate,circuit performance,circuit variability efficient analysis,closed-form solution,computation cost reduction,design flow variation,design robustness improvement,device performance,gate timing variability,input transition time,load capacitance,nominal delay error,scaled CMOS design,setup time violation,size 45 nm,stack effect,statistical analysis,time 5 ps,Timing model,critical path,statistical analysis,variation
Logic synthesis,Logic gate,Computer science,CMOS,NAND gate,NOR gate,Real-time computing,Electronic engineering,Design flow,Integrated circuit design,Electronic circuit
Conference
ISSN
ISBN
Citations 
1948-3287
978-1-4673-1034-5
5
PageRank 
References 
Authors
0.60
11
4
Name
Order
Citations
PageRank
Samatha Gummalla150.60
Anupama R. Subramaniam250.94
Yu Cao32765245.91
Chaitali Chakrabarti41978184.17