Fan-in sensitive low power dynamic circuits performance statistical characterization

Using neural networks, a highly reliable and precise system to display low power dynamic circuit performance statistical characterization is proposed in this paper. The proposed model successfully estimates the nonlinear changing of the leakage power, the active power and the delay of the different fan-in low power dynamic gates with the dual threshold voltage technique, the multiple-supply technique and the sleep transistor technique. At last, the precision priority of estimating system is obtained.