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Author Chaudhuri, Sourindra M. ♦ Mishra, Prateek ♦ Jha, Niraj K.
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2014
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword FinFETs ♦ Leakage/delay models ♦ Non-planar devices
Abstract Among different multi-gate transistors, FinFETs and Trigate FETs have set themselves apart as the most promising candidates for the upcoming 22nm technology node and beyond owing to their superior device performance, lower leakage power consumption, and cost-effective fabrication process. Innovative circuit design and optimization techniques will be required to harness the power of multi-gate transistors, which in turn will depend on accurate leakage and timing characterization of these devices under spatial and environmental variations. Hence, in order to aid circuit designers, we present accurate analytical models using central composite rotatable design (CCRD) based on response surface methodology (RSM) to estimate the leakage current and delay of FinFET standard cells under the effect of variations in gate length $(L_{G}),$ fin thickness $(T_{SI}),$ gate-oxide thickness $(T_{OX}),$ gate-workfunction $(Φ_{G}),$ supply voltage $(V_{DD}),$ and temperature $(\textit{T}).$ To the best of our knowledge, this is the first such attempt to develop analytical models for leakage/delay estimation of FinFET logic gates. To derive these models, we employ TCAD device simulations of adjusted 2D device cross sections that have been shown to track TCAD device simulations of 3D device behavior within a 1--3% error range. This drastically reduces the CPU time of our modeling technique (by several orders of magnitude) without much loss in accuracy. We present analytical leakage and delay models for different sizes and logic styles (e.g., shorted-gate (SG) and independent-gate (IG) FinFETs at the 22nm technology node). Both leakage and delay estimates derived from the analytical models are in close agreement with quasi-Monte Carlo (QMC) simulation results (QMC simulations track the accuracy of Monte Carlo simulations, but are several orders of magnitude faster) obtained for different adjusted-2D logic gates with a root mean square error (RMSE) in the 0.23%--5.87% range.
ISSN 15504832
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-11-01
Publisher Place New York
e-ISSN 15504840
Journal ACM Journal on Emerging Technologies in Computing Systems (JETC)
Volume Number 11
Issue Number 2
Page Count 20
Starting Page 1
Ending Page 20

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Source: ACM Digital Library