• DocumentCode
    2922040
  • Title

    Product Yield Prediction System and Critical Area Database

  • Author

    Barnett, Thomas S. ; Bickford, Jeanne ; Weger, Alan J.

  • Author_Institution
    IBM Syst. & Technol. Group, Essex Junction
  • fYear
    2007
  • fDate
    11-12 June 2007
  • Firstpage
    351
  • Lastpage
    355
  • Abstract
    Pre-silicon yield estimators for ASIC products have the potential for improved accuracy based on retrospective critical area and yield analysis of completed designs. A prototype closed-loop system, in which a database of observed yield and computed critical areas is continuously compiled and updated, is described in this paper. The database allows a yield model based on circuit content, which is available at the time of quote, but before the physical layout, to be optimized to more accurately reflect a technology´s random defect sensitivities. Confining ones observations to the mature 130-nm technology minimizes the inclusion of systematic defects in the observed yield, and allows for a more complete view of the random defect component of yield loss.
  • Keywords
    application specific integrated circuits; closed loop systems; database management systems; engineering information systems; fault diagnosis; integrated circuit yield; nanoelectronics; production engineering computing; ASIC products; closed-loop system; critical area database; pre-silicon yield estimators; product yield prediction system; random defect component; size 130 nm; systematic defects; yield loss; CMOS technology; Circuit faults; Databases; Integrated circuit modeling; Integrated circuit yield; Investments; Microelectronics; Predictive models; Semiconductor device modeling; Virtual manufacturing; critical area analysis; yield learning; yield modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Semiconductor Manufacturing Conference, 2007. ASMC 2007. IEEE/SEMI
  • Conference_Location
    Stresa
  • Print_ISBN
    1-4244-0652-8
  • Electronic_ISBN
    1-4244-0653-6
  • Type

    conf

  • DOI
    10.1109/ASMC.2007.375062
  • Filename
    4259228