• DocumentCode
    2340161
  • Title

    Two Coding UARTs Low-Power Simulation Analysis Based on Gate Switching Activity Rate

  • Author

    Liu Jing ; Li Wenshi ; Zhang Lijun

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Soochow Univ., Suzhou, China
  • fYear
    2010
  • fDate
    23-25 April 2010
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Most of power consumption in CMOS chip comes from dynamic power, which is direct proportional to the parameters of gate switching activity rate (R¿) and number of gates (N). The gate switching power consumption accounts for above 80% (aiming at adder and multiplier) of total circuit\´s power consumption. By redefining this theory (RT = count / N), and using the gate or register as analyzed "particle", we record switching numbers of all similar particles (count = RTXN) for estimating dynamic power of circuits such as three different structural adders and two kinds of coding UART. Satisfied results show the optimization ratios of 22.5% for balance tree adder and of at least 11.1% for UART receiver in Gray coding than in Binary. Conclusions believe that understanding the probability RT into monitoring the numbers count from amount of analyzed particles can be a simple and convenient method suited for code level dynamic power simulation.
  • Keywords
    CMOS integrated circuits; Gray codes; adders; binary codes; computer interfaces; logic gates; microprocessor chips; CMOS chip; Gray coding; UART coding; binary coding; gate switching activity rate; low-power simulation analysis; structural adders; universal asynchronous receiver-transmitter; Adders; Analytical models; CMOS integrated circuits; Circuit simulation; Energy consumption; Hardware design languages; Information analysis; Integrated circuit modeling; Semiconductor device modeling; Switching circuits;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Computer Science (ICBECS), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5315-3
  • Type

    conf

  • DOI
    10.1109/ICBECS.2010.5462423
  • Filename
    5462423