• DocumentCode
    1760242
  • Title

    Coping with Parametric Variation at Near-Threshold Voltages

  • Author

    Karpuzcu, U.R. ; Nam Sung Kim ; Torrellas, Josep

  • Volume
    33
  • Issue
    4
  • fYear
    2013
  • fDate
    July-Aug. 2013
  • Firstpage
    6
  • Lastpage
    14
  • Abstract
    Near-threshold voltage computing (NTC) promises significant improvement in energy efficiency. Unfortunately, when compared to conventional, super-threshold voltage computing (STC), NTC is more sensitive to parametric variation. This results in not only slower and leakier cores, but also substantial speed and power differences between the cores in a many-core chip. NTC´s potential cannot be unlocked without addressing the higher impact of variation. To confront variation at the architecture level, the authors introduce a parametric variation model for NTC. They then use the model to show the shortcomings of adapting state-of-the-art STC techniques for variation mitigation to NTC. Finally, they discuss how to tailor variation mitigation to NTC.
  • Keywords
    cores; microprocessor chips; NTC; many-core chip; near-threshold voltage computing; parametric variation; state-of-the-art STC techniques; super-threshold voltage computing; variation mitigation; Computational modeling; Delays; Energy efficiency; Power distribution; Random access memory; System-on-chip; Threshold voltage; energy and power efficiency; multicores; near-threshold voltage; parameter variation; resilience;
  • fLanguage
    English
  • Journal_Title
    Micro, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1732
  • Type

    jour

  • DOI
    10.1109/MM.2013.71
  • Filename
    6527886