Cell Mapping for Nanohybrid Circuit Architecture Using Genetic Algorithm
Cell Mapping for Nanohybrid Circuit Architecture Using Genetic Algorithm
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DOI：
10.1007/s11390-012-1210-7
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发表时间：
2012-01
影响因子：
0.7
通讯作者：
Zhufei Chu;Yinshui Xia;Lunyao Wang
中科院分区：
文献类型：
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作者：
Zhufei Chu;Yinshui Xia;Lunyao Wang
由纳米器件构成的纳米电子学似乎对集成电路(IC)的进一步发展大有裨益。然而，计算机辅助设计(CAD)工具的缺乏严重阻碍了它的发展和应用。为了研究CAD流程中的单元映射问题，提出了一种基于遗传算法(GA)的纳米混合电路结构CMOL的设计方法。通过设计几种交叉算子并分析它们的性能，提出了一种高效的交叉算子。结合变异算子，提出了一种基于GA的算法，并在国际电路与系统研讨会(ISCAS)的基准测试中进行了测试。结果表明，与已有的方法相比，该方法不仅可以获得更好的面积利用率和更小的延迟，而且可以处理更大的基准测试，并且CPU时间有所改善。
Nanoelectronics constructed by nanoscale devices seems promising for the advanced development of integrated circuits (ICs). However, the lack of computer aided design (CAD) tools seriously hinders its development and applications. To investigate the cell mapping task in CAD flow, we present a genetic algorithm (GA) based method for Cmos/nanowire/MOLecular hybrid (CMOL), which is a nanohybrid circuit architecture. By designing several crossover operators and analyzing their performance, an efficient crossover operator is proposed. Combining a mutation operator, a GA based algorithm is presented and tested on the International Symposium on Circuits and Systems (ISCAS) benchmarks. The results show that the proposed method not only can obtain better area utilization and smaller delay, but also can handle larger benchmarks with CPU time improvement compared with the published methods.