Switching and leakage power modeling for multiple-supply dynamic gate with delay constraining based on wavelet neural networks

Authors:
J. Wang;W. Wu;N. Gong;L. Hou;S. Geng;W. Zhang;D. Gao
Affiliations:
VLSI & System Lab, Beijing University of Technology, Beijing, China;VLSI & System Lab, Beijing University of Technology, Beijing, China;College of Electronic and Info Engineering, Hebei University, Baoding, China;VLSI & System Lab, Beijing University of Technology, Beijing, China;VLSI & System Lab, Beijing University of Technology, Beijing, China;VLSI & System Lab, Beijing University of Technology, Beijing, China;VLSI & System Lab, Beijing University of Technology, Beijing, China
Venue:
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Year:
2009

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Abstract

A model for forecasting the switching power, leakage power and delay of the multiple-supply dynamic OR gates based on wavelet neural networks in 45 nm technology is proposed. By studying the impact of the multiple-supply technique (MST) on the power and delay characteristics, the proposed forecasting model could forecast the nonlinear changing of the switching power, leakage power and delay of the different inputs dynamic OR gates with fast speed convergence and high precision. At last, the trend of the forecasting curve is discussed.