好坏参半。PTL/静态逻辑合成使用遗传算法的低功耗应用

G. Cho, Tom Chen
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引用次数: 6

摘要

提出了一种新的基于遗传搜索的混合通管逻辑与静态CMOS逻辑综合方法。提出的合成方法首先使用bdd搜索逻辑结构与一组预定义的PTL/CMOS逻辑门之间的可能匹配。我们的方法的独特贡献是使用遗传算法来确定基于面积和功率的PTL和静态单元的最佳混合。我们的实验结果表明,在0.25 /spl μ l /m CMOS工艺下,采用所提出的混合PTL/CMOS合成方法合成的电路在延迟或功耗方面优于静态电路。采用该方法的ISCAS85和MCNC91基准电路的平均面积、功耗和功耗延迟积分别比静态电路高25%、40%和45%。
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Mixed. PTL/static logic synthesis using genetic algorithms for low-power applications
We present a new mixed pass-transistor logic (PTL) and static CMOS logic synthesis method based on a genetic search. The proposed synthesis method first performs a search for possible matches between a logic structure and a set of predefined PTL/CMOS logic gates using BDDs. The unique contribution of our approach is the use of a genetic algorithm to determine the best mixture of PTL and static cells based on area and power. Our experimental results demonstrate that circuits synthesized using the proposed mixed PTL/CMOS synthesis method outperforms their static counterparts in delay or power consumption or both in a 0.25 /spl mu/m CMOS process. The average area, power consumption, and power-delay product of ISCAS85 and MCNC91 benchmark circuits using the proposed method are 25%, 40%, and 45% better than their static counterparts, respectively.
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