• DocumentCode
    1998673
  • Title

    A defect-aware approach for mapping reconfigurable Single-Electron Transistor arrays

  • Author

    Ching-Yi Huang ; Chian-Wei Liu ; Chun-Yao Wang ; Yung-Chih Chen ; Datta, Suman ; Narayanan, Vijaykrishnan

  • Author_Institution
    Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan
  • fYear
    2015
  • fDate
    19-22 Jan. 2015
  • Firstpage
    118
  • Lastpage
    123
  • Abstract
    Single-Electron Transistor (SET) at room temperature has been demonstrated as a promising device for extending Moore´s law due to its ultra low power consumption. However, early realizations of SET array lacked variability and reliability due to their fixed architectures and high defect rates of nanowire segments. Therefore, a reconfigurable version of SET was proposed to deal with these issues. Recently, several automated mapping approaches were proposed for area minimization of reconfigurable SET arrays. However, to the best of our knowledge, no mapping approaches that consider the existence of defective nanowire segments were proposed. Thus, this paper presents the first defect-aware approach for mapping reconfigurable SET arrays. The experimental results show that our approach can successfully map the SET arrays with 20% width overhead on average in the presence of 5000 ppm defects.
  • Keywords
    low-power electronics; minimisation; nanowires; single electron transistors; Moore law; area minimization; automated mapping; defect aware approach; defective nanowire segments; reconfigurable SET array; reconfigurable single electron transistor arrays; temperature 293 K to 298 K; ultra low power consumption; Boolean functions; Computer science; Educational institutions; Fabrics; Image edge detection; Logic gates; Single electron transistors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference (ASP-DAC), 2015 20th Asia and South Pacific
  • Conference_Location
    Chiba
  • Print_ISBN
    978-1-4799-7790-1
  • Type

    conf

  • DOI
    10.1109/ASPDAC.2015.7058991
  • Filename
    7058991