By Topic

Sleep Transistor Sizing and Adaptive Control for Supply Noise Minimization Considering Resonance

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Jie Gu ; Electr. & Comput. Eng., Univ. of Minnesota, Minneapolis, MN, USA ; Hanyong Eom ; Keane, J. ; Kim, C.H.

The conventional sleep transistor sizing schemes do not consider the resonant supply noise which represents the worst-case supply disturbance. This paper investigates the impact of sleep transistor sizing on different on-chip noise components and shows that, contrary to the conventional wisdom, a larger sleep transistor is not always favored in term of performance when the resonant supply noise is taken into account. To minimize the worst-case supply noise, an optimal sizing scheme using an explicit noise and impedance model is developed and verified by benchmark circuits. Employing the proposed technique results in a reduction of the worst-case noise by 19%, as well as a saving of standby leakage and area overhead by 60% in comparison with conventional sizing scheme. In order to deal with the sporadic nature of the resonant, we propose an adaptive sleep transistor circuit which adjusts the size of sleep transistor on the fly to remove the DC noise penalty of the fixed sizing scheme. Simulation results on 32-nm CMOS technology are used to demonstrate the functionality and effectiveness of the proposed adaptive sizing circuits.

Published in:

Very Large Scale Integration (VLSI) Systems, IEEE Transactions on  (Volume:17 ,  Issue: 9 )