基于翻转信息熵的组合逻辑电路功耗分析

基于信息熵的复杂度分析方法是在VLSI设计流程的高层次抽象阶段对组合逻辑电路功耗和面积进行分析估计的可行方法之一.本文通过提出新的利用翻转信息熵进行电路实现面积和功耗估计的理论方法,改善了面积和功耗估计精度.大量基于随机电路和BENCHMARK电路的实验结果表明,上述方法能够使面积和功耗估计的相对误差分别降低24.3% (从12.74%到9.65%)和15.4% (从13.67%到11.57%).

Power Analysis of Combinational Circuits Based on Transition Entropy

For control circuits and random logic,signal complexity evaluated by information entropy (or informational energy) had been calculated to estimate the power consumption of circuits in the past research in the high-level abstract step of VLSI design flow.This paper improved the estimation accuracy for power and area costs of combinational circuits at the behavioral design level,with transition information entropy.Lots of experiments had been implemented to prove the improved estimation accuracy compared to the traditional analytic method.The experimental results with BENCHMARK circuits show that relative errors of area and power estimation have been reduced 24.3% (12.74% to 9.65%) and 15.4% (13.67% to 11.57%).