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Journal of Computer Science and Technology

, Volume 32, Issue 2, pp 297–311 | Cite as

A Power and Area Optimization Approach of Mixed Polarity Reed-Muller Expression for Incompletely Specified Boolean Functions

  • Zhen-Xue He
  • Li-Min Xiao
  • Li Ruan
  • Fei Gu
  • Zhi-Sheng Huo
  • Guang-Jun Qin
  • Ming-Fa Zhu
  • Long-Bing Zhang
  • Rui Liu
  • Xiang Wang
Regular Paper

Abstract

The power and area optimization of Reed-Muller (RM) circuits has been widely concerned. However, almost none of the exiting power and area optimization approaches can obtain all the Pareto optimal solutions of the original problem and are efficient enough. Moreover, they have not considered the don’t care terms, which makes the circuit performance unable to be further optimized. In this paper, we propose a power and area optimization approach of mixed polarity RM expression (MPRM) for incompletely specified Boolean functions based on Non-Dominated Sorting Genetic Algorithm II (NSGA-II). Firstly, the incompletely specified Boolean function is transformed into zero polarity incompletely specified MPRM (ISMPRM) by using a novel ISMPRM acquisition algorithm. Secondly, the polarity and allocation of don’t care terms of ISMPRM is encoded as chromosome. Lastly, the Pareto optimal solutions are obtained by using NSGA-II, in which MPRM corresponding to the given chromosome is obtained by using a chromosome conversion algorithm. The results on incompletely specified Boolean functions and MCNC benchmark circuits show that a significant power and area improvement can be made compared with the existing power and area optimization approaches of RM circuits.

Keywords

power and area optimization Reed-Muller (RM) circuit Pareto optimal solution don’t care term chromosome conversion 

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Supplementary material

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Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  • Zhen-Xue He
    • 1
    • 2
  • Li-Min Xiao
    • 1
    • 2
  • Li Ruan
    • 1
    • 2
  • Fei Gu
    • 2
  • Zhi-Sheng Huo
    • 1
    • 2
  • Guang-Jun Qin
    • 3
  • Ming-Fa Zhu
    • 1
    • 2
  • Long-Bing Zhang
    • 4
    • 5
  • Rui Liu
    • 3
    • 6
  • Xiang Wang
    • 3
  1. 1.State Key Laboratory of Software Development EnvironmentBeihang UniversityBeijingChina
  2. 2.School of Computer Science and EngineeringBeihang UniversityBeijingChina
  3. 3.School of Electronic and Information EngineeringBeihang UniversityBeijingChina
  4. 4.State Key Laboratory of Computer Architecture, Institute of Computing TechnologyChinese Academy of SciencesBeijingChina
  5. 5.University of Chinese Academy of SciencesBeijingChina
  6. 6.National Engineering Research Center for Science and Technology Resources Sharing ServiceBeihang UniversityBeijingChina

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