• DocumentCode
    1630590
  • Title

    Area optimization algorithm for body-bias based on input vector control

  • Author

    Zhaoshan, Sun ; Kun, Huang ; Zuying, Luo

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Beijing Normal Univ., Beijing, China
  • fYear
    2010
  • Firstpage
    737
  • Lastpage
    739
  • Abstract
    With the technology scaling down to the deep sub-micron domain, leakage power increases rapidly in VLSI, enhancing the area overhead of dynamic power management system. Reverse Body Bias(RBB) is a common method to reduce the leakage power at run-time. To overcome the larger area overhead of controller applied on RBB, this paper proposes a new way of connection, which can reduce area of controller substantially. Based on dual-threshold voltage CMOS designs, when the input vector is the minimum leakage pattern, this paper applies VRBB to the low threshold voltage (LVT) and Dominate Leakage State (DLS) MOS transistors. Experimental results is based on a set of ISCAS85 benchmark circuits in a Predictive 22 nm process, comparing with previous works, this algorithm can reduce 84.91% area overhead with the cost of 27.94% leakage current penalty.
  • Keywords
    CMOS integrated circuits; MOSFET; VLSI; leakage currents; ISCAS85 benchmark circuits; VLSI; area optimization algorithm; dominate leakage state MOS transistors; dual-threshold voltage CMOS designs; dynamic power management system; input vector control; leakage current; low threshold voltage MOS transistors; minimum leakage pattern; reverse body bias; Capacitance; Control systems; Logic gates; Optimization; Substrates; Threshold voltage; Transistors; Input vector control; Leakage power; Substrate bias;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Solid-State and Integrated Circuit Technology (ICSICT), 2010 10th IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-5797-7
  • Type

    conf

  • DOI
    10.1109/ICSICT.2010.5667397
  • Filename
    5667397