• DocumentCode
    1920396
  • Title

    Research and implementation of reversible logic synthesis algorithmin digital system

  • Author

    Yuan, Ding ; Yan, Bai ; Tao, Lu Wen ; Yi, Guo

  • Author_Institution
    Dept. Of Comput. Sci., Inf. Eng. Univ.
  • fYear
    2006
  • fDate
    17-19 Nov. 2006
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The reversible logic synthesis is one of the important methods in the digital system´s fault testing and investigating area. As the designing and manufacturing technique of vary large scale digital systems fast develops, under current computer conditions, how to rapidly and accurately implement the reversible logic synthesis of a vary large scale digital systems is a knotty problem that the computer aided logic design researchers have been difficult to resolve and can not evade. Based on deeply studying logical synthesis theories, this paper presented an algorithm called iterative intersection of subset, improved reversible logic synthesis algorithm, and made efficiency experiments of the algorithm. The outcome showed that the reversible logic synthesis performance of vary large scale digital systems using iterative intersection algorithm is markedly superior to the traditional logical synthesis algorithm
  • Keywords
    digital systems; high level synthesis; logic testing; computer aided logic design; digital system fault testing; iterative intersection algorithm; reversible logic synthesis algorithm; vary large scale digital systems; Automatic testing; Computer aided manufacturing; Design automation; Digital systems; Iterative algorithms; Large-scale systems; Logic design; Logic functions; Logic testing; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Industrial Design and Conceptual Design, 2006. CAIDCD '06. 7th International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    1-4244-0683-8
  • Electronic_ISBN
    1-4244-0684-6
  • Type

    conf

  • DOI
    10.1109/CAIDCD.2006.329380
  • Filename
    4127149