• DocumentCode
    2324899
  • Title

    A novel leakage-estimation method for input-vector control

  • Author

    Keil, Hans-Peter ; Momeni, Massoud ; Guntoro, Andre ; Ortiz, Alberto García ; Glesner, Manfred

  • Author_Institution
    Inst. of Microelectron. Syst., Tech. Univ. Darmstadt, Darmstadt
  • fYear
    2008
  • fDate
    Nov. 30 2008-Dec. 3 2008
  • Firstpage
    570
  • Lastpage
    573
  • Abstract
    Input-vector control (IVC) can be used to reduce the static power dissipation of circuits or subcircuits that are idle. In actual microprocessors, many functional units are included multiple times and not in use continuously (e.g. multiplier, ALU) dissipating static and dynamic power. As the static power dissipation depends on the actual input state, IVC can be used to apply the optimal input vector (IV) that causes the lowest static power dissipation in case the unit under consideration is idle. In order to find the optimal input vector, time-consuming simulations for all possible input vectors are inappropriate for actual circuits with data-width of more than 32 bit. Statistical approaches only include a subset of all possible input vectors and are able to finish in acceptable time, but may miss the optimal input vector. In this paper, we introduce a method that qualitatively estimates the static power dissipation in a very fast way such that all possible input vectors are taken into account without requiring time-consuming computations. The Method has been validated experimentally using a 90 nm technologies.
  • Keywords
    leakage currents; microprocessor chips; input-vector control; leakage-estimation method; microprocessors; static power dissipation; Analytical models; Arithmetic; Circuit simulation; Control systems; Energy consumption; Microelectronics; Microprocessors; Power dissipation; SPICE; Subthreshold current;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2008. APCCAS 2008. IEEE Asia Pacific Conference on
  • Conference_Location
    Macao
  • Print_ISBN
    978-1-4244-2341-5
  • Electronic_ISBN
    978-1-4244-2342-2
  • Type

    conf

  • DOI
    10.1109/APCCAS.2008.4746087
  • Filename
    4746087