• DocumentCode
    1786992
  • Title

    Modeling and experimental demonstration of accelerated self-healing techniques

  • Author

    Xinfei Guo ; Burleson, Wayne ; Stan, Mircea

  • Author_Institution
    ECE Dept., Univ. of Virginia, Charlottesville, VA, USA
  • fYear
    2014
  • fDate
    1-5 June 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper we postulate that future electronics systems will use sleep time as an active recovery period essential for their overall performance. Our hypothesis is that by explicitly controlling the ratio of sleep vs. active and sleep conditions (e.g. higher temperatures, negative voltages), we can deeply rejuvenate electronic systems periodically to improve their metrics. We perform a series of stress and recovery experiments using commercial FPGAs to demonstrate several cases where we bring stressed chips back to within 90% of their original margin by actively rejuvenating for only 1/4 of the stress time. We validate our experiments against extracted models and present potential applications to multi-core systems.
  • Keywords
    fault tolerant computing; field programmable gate arrays; integrated circuit reliability; negative bias temperature instability; recovery; FPGAs; accelerated self-healing techniques; active recovery period; electronics systems; extracted models; multi-core systems; sleep time; Acceleration; Aging; Delays; Field programmable gate arrays; Integrated circuit modeling; Stress; Temperature measurement; Aging; BTI; FPGAs; accelerated recovery; self-healing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference (DAC), 2014 51st ACM/EDAC/IEEE
  • Conference_Location
    San Francisco, CA
  • Type

    conf

  • DOI
    10.1145/2593069.2593162
  • Filename
    6881498