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Search for the best polarity of fixed polarity Reed Muller expression base on QGA

机译:基于QGA搜索固定极性Reed Muller表达式的最佳极性

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Based on the investigation of the fixed polarity Reed Muller (FPRM) expression, the propagation algorithm of signal probability, decomposition algorithm of multi-input AND/XOR gate of RM circuits and quantum genetic algorithm (QGA), this paper proposes a new algorithm based on QGA to search for the best polarity of RM circuits in terms of the power and area. Experimental results of eight large circuits from MCNC benchmark show that the best polarity obtained by the proposed algorithm can achieve average power and area savings by 86.2% and 66.8% respectively, compared with polarity 0.
机译:在研究固定极性Reed Muller(FPRM)表达式,信号概率传播算法,RM电路多输入与/ XOR门分解算法以及量子遗传算法(QGA)的基础上,提出了一种新的算法。在QGA上搜索功率和面积方面RM电路的最佳极性。根据MCNC基准测试的八个大型电路的实验结果表明,与极性0相比,通过该算法获得的最佳极性可以分别实现平均功耗和面积节省86.2%和66.8%。

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