Razor: A Low Power Processor Design - PowerPoint PPT Presentation

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Razor: A Low Power Processor Design

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Title: Razor: A Low Power Processor Design


1
Razor A Low Power Processor Design
  • Presented By -
  • Murali Dharan

2
Power Aware Computing
  • Primary concern in design of processors and SoCs
  • Paradox of need of higher clock frequencies and
    low power designs
  • f a Vdd
  • E SCV2dd VddIleakT

3
Solution
  • Dynamic Voltage Scaling (DVS)
  • Periods of low processor utilization exploited by
    lowering clock frequency
  • Critical supply voltage
  • Min. supply voltage resulting in correct
    operation
  • Should be sufficient to factor in global and
    local variations

4
Voltage Margins
  • Process Margin
  • Result from manufacturing variations
  • Ambient Margin
  • Slower circuit operations at higher temperatures
  • Noise Margin
  • Safeguard against different noise sources

5
Basic Idea Proposed
  • Tune the supply voltage by monitoring the error
    rate during operation
  • Accounts for both global and local variations
  • Eliminates need for Voltage Margins
  • Sub critical voltage cause trade off between
    error recovery and power savings
  • Savings up to 64.2 with penalty of lt3

6
Implementation of Error Correction
7
Experimental Results
8
Prototype Implementation
9
Energy Optimal Characteristics
10
Future Research Areas
  • Implementation of Razor Technology in the design
    of Control Logics
  • Implementation of Razor Technology in the design
    of Memories

11
References
  • Making Typical Silicon Matter with Razor
  • Todd Austin, David Blaauw, Trevor Mudge
    University of Michigan Krisztián Flautner ARM
    Ltd.
  • Razor A Low Power Pipeline Based on
    Circuit-Level timing Speculation
  • Dan Ernst, Nam Sung Kim, Shidhartha Das, Sanjay
    Pant, Rajeev Rao, Toan Pham, Conrad Ziesler,
    David Blaauw, Todd Austin, Trevor Mudge Advanced
    Computer Architecture Lab University of Michigan
    and Krisztián Flautner ARM Ltd.
  • IEEE Spectrum Feb. 2008 Edition Intel and ARM
    are Exploring Self-Correction Schemes to Boost
    Processor Performance and Cut Power by Neil
    Savage
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