• DocumentCode
    2969874
  • Title

    Wavelet neural networks based performance estimation for power gating domino circuits

  • Author

    Wang, Jinhui ; Wu, Wuchen ; Gong, Na ; Zuo, Lei ; Peng, Xiaohong ; Hou, Ligang

  • Author_Institution
    VLSI & Syst. Lab., Beijing Univ. of Technol., Beijing, China
  • fYear
    2009
  • fDate
    22-24 June 2009
  • Firstpage
    435
  • Lastpage
    438
  • Abstract
    A system for estimating the leakage power, the active power and the delay of the domino OR gates with the sleep transistor based on wavelet neural networks in 45 nm technology is proposed. By studying the impact of the power gating technique (PGT) on the power and delay characteristics, the proposed model could estimate the nonlinear changing of the active power, the leakage power and the delay of the different inputs dynamic OR gates with fast speed convergence and high precision. The trend of the estimating curve is discussed. At last, the comparison between the footer and the header sleep transistor technique is given.
  • Keywords
    CMOS logic circuits; logic gates; neural nets; transistors; active power; delay characteristics; domino OR gates; footer sleep transistor technique; header sleep transistor technique; leakage power; power gating domino circuits; size 45 nm; wavelet neural networks; CMOS technology; Circuits; Clocks; Delay estimation; Logic; Neural networks; Power system modeling; Steady-state; Switches; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation, 2009. ICIA '09. International Conference on
  • Conference_Location
    Zhuhai, Macau
  • Print_ISBN
    978-1-4244-3607-1
  • Electronic_ISBN
    978-1-4244-3608-8
  • Type

    conf

  • DOI
    10.1109/ICINFA.2009.5204963
  • Filename
    5204963