• DocumentCode
    163109
  • Title

    A novel compact model of the product marginal yield and its application for performance maximization

  • Author

    Tsuda, A. ; Okagaki, T. ; Fujii, Masahiro ; Tsutsui, T. ; Takazawa, Yoshio ; Shibutani, K. ; Ogasawara, Satoshi ; Yokota, Masao ; Onozawa, K.

  • Author_Institution
    Device Platform Dept., Renesas Electron. Corp., Itami, Japan
  • fYear
    2014
  • fDate
    24-27 March 2014
  • Firstpage
    117
  • Lastpage
    120
  • Abstract
    In this paper, we present a novel compact model to calculate the product performance accurately. The compact model is constructed by leakage current and active speed calculation of logic circuit. It becomes possible to estimate marginal yield before pilot wafer by the input of a little Si information (Ring Oscillator frequency, leakage of transistor, wiring capacitance, transistor variability) to the compact model. It is effective to change a transistor target in order to improve marginal yield and maximize product performance. In the case of increasing the CPU frequency by 25% using the same process technology, we can improve marginal yield about 15% by using this method before pilot wafer.
  • Keywords
    integrated circuit modelling; integrated circuit yield; leakage currents; logic circuits; optimisation; wiring; CPU frequency; active speed calculation; compact model; leakage current; logic circuit; performance maximization; pilot wafer; process technology; product marginal yield; product performance; ring oscillator frequency; transistor leakage; transistor variability; wiring capacitance; Capacitance; Current measurement; Leakage currents; Semiconductor device measurement; Semiconductor device modeling; Silicon; Transistors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microelectronic Test Structures (ICMTS), 2014 International Conference on
  • Conference_Location
    Udine
  • ISSN
    1071-9032
  • Print_ISBN
    978-1-4799-2193-5
  • Type

    conf

  • DOI
    10.1109/ICMTS.2014.6841478
  • Filename
    6841478