• DocumentCode
    1911970
  • Title

    Thermal system identification (TSI): A methodology for post-silicon characterization and prediction of the transient thermal field in multicore chips

  • Author

    Cho, Minki ; Song, William ; Yalamanchili, Sudhakar ; Mukhopadhyay, Saibal

  • Author_Institution
    Sch. of ECE, Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2012
  • fDate
    18-22 March 2012
  • Firstpage
    118
  • Lastpage
    124
  • Abstract
    This paper presents a methodology for post-silicon thermal prediction to predict the transient thermal field a multicore package for various workload considering chip-to-chip variations in electrical and thermal properties. We use time-frequency duality to represent thermal system in frequency domain as a low-pass filter augmented with a positive feedback path for leakage-temperature interaction. This thermal system is identified through power/thermal measurements on a packaged IC and is used for post-silicon thermal prediction. The effectiveness of the proposed effort is presented considering a 64 core processor in predictive 22nm node and SPEC2006 benchmark applications.
  • Keywords
    integrated circuit packaging; low-pass filters; microprocessor chips; multiprocessing systems; silicon; temperature measurement; thermal management (packaging); thermal properties; TSI; chip-to-chip variation; electrical property; frequency domain; leakage-temperature interaction; low-pass filter; multicore chips; multicore package; packaged IC; post-silicon characterization; post-silicon thermal prediction; power measurement; size 22 nm; thermal measurement; thermal property; thermal system identification; time-frequency duality; transient thermal field prediction; Conductivity; Low pass filters; Temperature measurement; Thermal analysis; Thermal conductivity; Thermal resistance; Transient analysis; Thermal prediction; leakage; multi-core; process variations; system identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semiconductor Thermal Measurement and Management Symposium (SEMI-THERM), 2012 28th Annual IEEE
  • Conference_Location
    San Jose, CA
  • ISSN
    1065-2221
  • Print_ISBN
    978-1-4673-1110-6
  • Electronic_ISBN
    1065-2221
  • Type

    conf

  • DOI
    10.1109/STHERM.2012.6188836
  • Filename
    6188836