DocumentCode
2969874
Title
Wavelet neural networks based performance estimation for power gating domino circuits
Author
Wang, Jinhui ; Wu, Wuchen ; Gong, Na ; Zuo, Lei ; Peng, Xiaohong ; Hou, Ligang
Author_Institution
VLSI & Syst. Lab., Beijing Univ. of Technol., Beijing, China
fYear
2009
fDate
22-24 June 2009
Firstpage
435
Lastpage
438
Abstract
A system for estimating the leakage power, the active power and the delay of the domino OR gates with the sleep transistor based on wavelet neural networks in 45 nm technology is proposed. By studying the impact of the power gating technique (PGT) on the power and delay characteristics, the proposed model could estimate the nonlinear changing of the active power, the leakage power and the delay of the different inputs dynamic OR gates with fast speed convergence and high precision. The trend of the estimating curve is discussed. At last, the comparison between the footer and the header sleep transistor technique is given.
Keywords
CMOS logic circuits; logic gates; neural nets; transistors; active power; delay characteristics; domino OR gates; footer sleep transistor technique; header sleep transistor technique; leakage power; power gating domino circuits; size 45 nm; wavelet neural networks; CMOS technology; Circuits; Clocks; Delay estimation; Logic; Neural networks; Power system modeling; Steady-state; Switches; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Automation, 2009. ICIA '09. International Conference on
Conference_Location
Zhuhai, Macau
Print_ISBN
978-1-4244-3607-1
Electronic_ISBN
978-1-4244-3608-8
Type
conf
DOI
10.1109/ICINFA.2009.5204963
Filename
5204963
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