异或门低功耗优化展开方法
A Novel Optimization Approach for Low Power XOR Gate Decomposition
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摘要: 异或门实际输出信号具有空间相关性,为了便于进行低功耗优化的研究,现有方法将异或门输出信号假设为随机信号,并以异或门输入信号的置1概率为依据进行低功耗优化.文中不仅从概率的角度指出现有方法的局限性,而且推导出直接用输入信号的跳变密度计算2输入端异或门输出信号跳变密度的计算公式,进而提出用输入信号跳变密度对异或门进行低功耗优化展开的新方法.实验结果表明:文中方法的功耗降幅为现有方法的3倍多;同时,文中方法优化展开后与异或门功耗的实际模拟结果相比,其理论计算值的误差比较小(平均仅为0.97%),从实验的角度证明了文中关于异或门低功耗优化展开所做的理论分析的正确性.Abstract: Although the output signal of a real XOR gate is spatially related to input signals,in order to simplify the study of optimal low power XOR gate decomposition,present approaches assume that the output signal of a XOR gate is the strict-sense stochastic signal,and directly optimize power dissipation according to probabilities of input signals.In this paper,we not only show the limitations of present approaches through statistics analyses,but also give equations that use transition densities of input signals to compute that of output signal for a real XOR gate.Then,we propose a novel method of optimal low power decomposition for XOR gates.Experiments demonstrate that our approach reduces the power consumption of XOR gates more than three times as present methods do.And the calculated power consumption matches the experimental value with hign accuracy,the error is less than 0.97% on average.
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