Estimation for Speed and Leakage Power of Dual Threshold Domino OR Based on Wavelet Neural Networks

Authors:
Jinhui Wang;Lei Zuo;Na Gong;Daming Gao;Shuqin Geng;Wang Zhang;Ligang Hou;Xiaohong Peng;Wuchen Wu
Affiliations:
VLSI and System Lab, Beijing University of Technology, Beijing, China 100124;VLSI and System Lab, Beijing University of Technology, Beijing, China 100124;College of Electronic and Informational Engineering, Hebei University, Baoding, China 071002;VLSI and System Lab, Beijing University of Technology, Beijing, China 100124;VLSI and System Lab, Beijing University of Technology, Beijing, China 100124;VLSI and System Lab, Beijing University of Technology, Beijing, China 100124;VLSI and System Lab, Beijing University of Technology, Beijing, China 100124;VLSI and System Lab, Beijing University of Technology, Beijing, China 100124;VLSI and System Lab, Beijing University of Technology, Beijing, China 100124
Venue:
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Year:
2009

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Abstract

An approach for estimating the leakage power and the speed of the dual threshold domino OR gates based on Wavelet Neural Networks (WNN) in 45 nm technology is proposed. The estimating system has fast convergence and high precision. By studying the impact of the dual threshold voltage technique (DTV) on leakage reduction and delay increase, it successfully estimates the nonlinear changing of the leakage power and delay of the different inputs domino OR gates. At last, the reason for the estimating error and the trend of the estimating curve are explained, respectively.