• DocumentCode
    580930
  • Title

    Tunable sensors for process-aware voltage scaling

  • Author

    Chan, Tuck-Boon ; Kahng, Andrew B.

  • Author_Institution
    ECE Dept., UC San Diego, La Jolla, CA, USA
  • fYear
    2012
  • fDate
    5-8 Nov. 2012
  • Firstpage
    7
  • Lastpage
    14
  • Abstract
    VLSI circuits usually allocate excess margin to account for worst-case process variation. Since most chips are fabricated at process conditions better than the worst-case corner, adaptive voltage scaling (AVS) is commonly used to reduce power consumption whenever possible. A typical AVS setup relies on a performance monitor that replicates critical paths of the circuit to guide voltage scaling. However, it is difficult to define appropriate critical paths for an SoC which has multiple operating modes and IPs. In this paper, we propose a different methodology for AVS which matches the voltage scaling characteristics of a circuit rather than the delays of critical paths. This fundamental change in monitoring strategy simplifies the monitoring circuitry as well as the calibration flow of conventional monitoring methods. To enable the proposed methodology, we study voltage scaling characteristics of digital circuits. Based on our analyses, we develop design guidelines as well as design monitoring circuits which have tunable voltage scaling characteristics. Our experimental results show that this methodology can be used for AVS with a simplified calibration flow.
  • Keywords
    VLSI; calibration; integrated circuit design; integrated circuit measurement; sensors; system-on-chip; AVS; SoC; VLSI circuits; adaptive voltage scaling; calibration flow; critical path delay; design monitoring circuits; digital circuits; monitoring strategy; power consumption; process-aware voltage scaling; tunable sensors; voltage scaling characteristics; worst-case process variation; Frequency measurement; Monitoring; Resistance; Sensors; Silicon; System-on-a-chip; Voltage measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Design (ICCAD), 2012 IEEE/ACM International Conference on
  • Conference_Location
    San Jose, CA
  • ISSN
    1092-3152
  • Type

    conf

  • Filename
    6386582