• DocumentCode
    3330126
  • Title

    A methodology to compute the statistical fault coverage of small delays due to opens

  • Author

    García-Gervacio, José L. ; Champac, Víctor

  • Author_Institution
    Nat. Inst. for Astrophys., Opt. & Electron. (INAOE), Puebla, Mexico
  • fYear
    2009
  • fDate
    2-5 Aug. 2009
  • Firstpage
    1211
  • Lastpage
    1214
  • Abstract
    Resistive opens in vias and interconnection lines have become an issue in modern nanometer technologies. These defects may produce small delays which are difficult to detect and may pose a reliability problem. In this paper, a statistical timing analysis framework is used to analyze the detectability of small delays due to resistive opens considering process variations. A statistical methodology to estimate the fault coverage of these defects is proposed. In the statistical timing analysis framework, process variations are considered, which have become a critical issue affecting the performance and test of nanometer digital circuits. Inter-die and intra-die process variations are considered. Using the proposed methodology, the statistical fault coverage of resistive opens producing small delays is evaluated for some ISCAS benchmark circuits.
  • Keywords
    delays; fault diagnosis; integrated circuit interconnections; integrated circuit reliability; logic testing; nanotechnology; statistical analysis; ISCAS benchmark circuit; delays; interconnection lines; interdie process variation; intradie process variation; nanometer digital circuit; nanometer technologies; statistical fault; statistical timing analysis framework; Circuit faults; Circuit simulation; Circuit testing; Delay; Digital circuits; Electrical fault detection; Fault detection; Integrated circuit interconnections; Probability; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2009. MWSCAS '09. 52nd IEEE International Midwest Symposium on
  • Conference_Location
    Cancun
  • ISSN
    1548-3746
  • Print_ISBN
    978-1-4244-4479-3
  • Electronic_ISBN
    1548-3746
  • Type

    conf

  • DOI
    10.1109/MWSCAS.2009.5235933
  • Filename
    5235933