• DocumentCode
    3662582
  • Title

    STG-based detection of power virus inputs in FSM

  • Author

    Vasily G. Moshnyaga;Hideki Nita

  • Author_Institution
    Department of Electronics Engineering and Computer Science, Fukuoka University, 8140180, Japan
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Finding input sequences that cause switching activity burst (power virus) and consequently peak power dissipation is an essential issue in design of sequential digital circuits. This paper presents a novel technique for computing the power virus inputs from the very first step of the synthesis flow where the finite state machine is typically described in the form of Signal Transition Graph (STG) and each state is represented in a symbolic form. Evaluations show that the proposed technique is simple yet effective.
  • Keywords
    "Switches","Estimation","Sequential circuits","Clocks","Power dissipation","Very large scale integration","Integrated circuit modeling"
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (MWSCAS), 2015 IEEE 58th International Midwest Symposium on
  • Type

    conf

  • DOI
    10.1109/MWSCAS.2015.7282039
  • Filename
    7282039