A Minimum Energy Point Tracking Algorithm Based on Dynamic Voltage Scaling and Adaptive Body Biasing

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Author(s)

    • HOKIMOTO Shu
    • Department of Communications and Computer Engineering, Kyoto University
    • ISHIHARA Tohru
    • Department of Communications and Computer Engineering, Kyoto University

Abstract

<p>Scaling the supply voltage (<i>V</i><sub>dd</sub>) and threshold voltage (<i>V</i><sub>th</sub>) for minimizing the energy consumption of processors dynamically is highly desired for applications such as wireless sensor network and Internet of Things (IoT). In this paper, we refer to the pair of <i>V</i><sub>dd</sub> and <i>V</i><sub>th</sub>, which minimizes the energy consumption of the processor under a given operating condition, as a minimum energy point (MEP in short). Since the MEP is heavily dependent on an operating condition determined by a chip temperature, an activity factor, a process variation, and a performance required for the processor, it is not very easy to closely track the MEP at runtime. This paper proposes a simple but effective algorithm for dynamically tracking the MEP of a processor under a wide range of operating conditions. Gate-level simulation of a 32-bit RISC processor in a 65nm process demonstrates that the proposed algorithm tracks the MEP under a situation that operating condition widely vary.</p>

Journal

  • IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E100.A(12), 2776-2784, 2017

    The Institute of Electronics, Information and Communication Engineers

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