• DocumentCode
    2772943
  • Title

    Fault-Tolerance of Robust Feed-Forward Architecture Using Single-Ended and Differential Deep-Submicron Circuits Under Massive Defect Density

  • Author

    Stanisavljevic, Milos ; Schmid, Alexandre ; Leblebici, Yusuf

  • Author_Institution
    Swiss Fed. Inst. of Technol., Lausanne
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    2771
  • Lastpage
    2778
  • Abstract
    An assessment of the fault-tolerance properties of single-ended and differential signaling is shown in the context of a high defect density environment, using a robust error-absorbing circuit architecture. A software tool based on Monte-Carlo simulations is used for the reliability analysis of the examined logic families. A benefit of the differential circuit over standard single-ended is shown in case of complex systems. Moreover, analysis of reliability of different circuits and discussion on the optimal granularity of redundant blocks was made.
  • Keywords
    Monte Carlo methods; electronic engineering computing; fault tolerance; feedforward neural nets; integrated logic circuits; neural chips; reliability; Monte-Carlo simulations; circuit architecture; differential deep-submicron circuits; differential signaling; fault-tolerance; massive defect density; optimal granularity; redundant blocks; reliability analysis; robust feed-forward architecture; CMOS logic circuits; Circuit faults; Computer architecture; Fault tolerance; Feedforward systems; Microelectronics; Reliability; Robustness; Software tools; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2006. IJCNN '06. International Joint Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9490-9
  • Type

    conf

  • DOI
    10.1109/IJCNN.2006.247183
  • Filename
    1716473