• DocumentCode
    528801
  • Title

    Reducing variability in chip-multiprocessors with adaptive body biasing

  • Author

    Bonnoit, Alyssa ; Pileggi, Lawrence

  • Author_Institution
    Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213
  • fYear
    2010
  • fDate
    18-20 Aug. 2010
  • Firstpage
    73
  • Lastpage
    78
  • Abstract
    Body biasing has been demonstrated to be effective in addressing process variability in a variety of simple chip designs. Modern microprocessors implement dynamic voltage/frequency scaling, with significant implications for the use of body biasing. For a 16-core chip-multiprocessor implemented in a high-performance 22 nm technology, the body biases required to meet the frequency target at the lowest and highest voltage/frequency levels differ by an average of 0.7 V, implying that per-level biases are required to fully leverage body biasing. The need to make abrupt changes in the bias voltages when the voltage/frequency level changes affects the cost/benefit analysis of body biasing schemes. It is demonstrated that computing unique body biases for each voltage/frequency level at chip power-on offers the best tradeoff among a variety of methods in terms of area, performance, and power.
  • Keywords
    Analytical models; Computational modeling; Frequency control; Integrated circuit modeling; Microprocessors; Numerical models; Throughput; Body biasing; dynamic voltage/frequency scaling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Low-Power Electronics and Design (ISLPED), 2010 ACM/IEEE International Symposium on
  • Conference_Location
    Austin, TX, USA
  • Print_ISBN
    978-1-4244-8588-8
  • Type

    conf

  • Filename
    5599023