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
         
        
        
        
        
        
            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;
         
        
        
        
            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
         
        
        
            DOI : 
10.1109/ICINFA.2009.5204963