›› 2012, Vol. 27 ›› Issue (1): 113-120.doi: 10.1007/s11390-012-1210-7

Special Issue: Computer Architecture and Systems

• Architecture and VLSI Design • Previous Articles     Next Articles

Cell Mapping for Nanohybrid Circuit Architecture Using Genetic Algorithm

Zhu-Fei Chu (储著飞), Student Member, IEEE, Yin-Shui Xia (夏银水), and Lun-Yao Wang (王伦耀)   

  1. School of Information Science and Engineering, Ningbo University, Ningbo 315211, China
  • Received:2010-01-25 Revised:2011-09-26 Online:2012-01-05 Published:2012-01-05
  • Supported by:

    This work is supported by the National Natural Science Foundation of China under Grant Nos. 61131001, 60871022, 61041001, Natural Science Foundation of the Zhejiang Province of China under Grant Nos. Z1090622, Y1080654 and K.C.Wong Magna Fund from Ningbo University.

Nanoelectronics constructed by nanoscale devices seems promising for the advanced development of inte-grated 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.

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