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

• HOKIMOTO Shu

  Department of Communications and Computer Engineering, Kyoto University

• ISHIHARA Tohru

  Department of Communications and Computer Engineering, Kyoto University

• ONODERA Hidetoshi

  Department of Communications and Computer Engineering, Kyoto University

抄録

Scaling the supply voltage (V_dd) and threshold voltage (V_th) 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 V_dd and V_th, 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.

収録刊行物

• 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

  一般社団法人 電子情報通信学会

キーワード

• minimum energy point tracking (MEPT)
• dynamic voltage and frequency scaling (DVFS)
• adaptive body biasing (ABB)

詳細情報

• CRID: 1390001206314942592
• NII論文ID: 130006236535
• DOI: 10.1587/transfun.e100.a.2776
• ISSN: 17451337
• ISSN: 09168508
• Web Site: https://www.jstage.jst.go.jp/article/transfun/E100.A/12/E100.A_2776/_pdf
• 本文言語コード: en
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