• DocumentCode
    2652930
  • Title

    Device variability and correlation control by automated tuning of SPICE cards to PCM measurements

  • Author

    Revelant, Alberto ; Lucci, Luca ; Selmi, Luca ; Ankele, Benno

  • Author_Institution
    Infineon Technol. Austria AG, Villach, Austria
  • fYear
    2011
  • fDate
    4-7 April 2011
  • Firstpage
    147
  • Lastpage
    152
  • Abstract
    We present an improved methodology to calibrate nominal SPICE models to individual or average PCM measurements at the die, wafer or lot level. The method overcomes previous difficulties in the structured handling of huge amounts of PCM data and it is validated in a state-of-the-art mixed-signal system-on-chip product development environment for the 65 nm CMOS technology node. The proposed approach is especially useful for real time process control to tackle model-hardware correlation problems in a multi-foundry design environment, to ease the burden of transferring designs to new production sites and to complement common tools available to the designers to cope with process variability such as worst-case corner models and Monte Carlo simulations.
  • Keywords
    Monte Carlo methods; circuit tuning; integrated circuit modelling; mixed analogue-digital integrated circuits; process control; system-on-chip; CMOS technology node; Monte Carlo simulations; PCM data; PCM measurements; SPICE cards; automated tuning; correlation control; device variability; mixed-signal system-on-chip product development environment; model-hardware correlation problems; multifoundry design environment; nominal SPICE models; process variability; production sites; real time process control; size 65 nm; structured handling; worst-case corner models; Correlation; Foundries; Integrated circuit modeling; Monte Carlo methods; Phase change materials; SPICE; Semiconductor device modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microelectronic Test Structures (ICMTS), 2011 IEEE International Conference on
  • Conference_Location
    Amsterdam
  • ISSN
    1071-9032
  • Print_ISBN
    978-1-4244-8526-0
  • Electronic_ISBN
    1071-9032
  • Type

    conf

  • DOI
    10.1109/ICMTS.2011.5976877
  • Filename
    5976877