A Minimum Energy Point Tracking Algorithm Based on Dynamic Voltage Scaling and Adaptive Body Biasing
Summary :
Scaling the supply voltage (Vdd) and threshold voltage (Vth) 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 Vdd and Vth, 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.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E100-A No.12 pp.2776-2784
- Publication Date
- 2017/12/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E100.A.2776
- Type of Manuscript
- Special Section PAPER (Special Section on VLSI Design and CAD Algorithms)
- Category
Authors
Shu HOKIMOTO
Kyoto University
Tohru ISHIHARA
Kyoto University
Hidetoshi ONODERA
Kyoto University
Keyword
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Shu HOKIMOTO, Tohru ISHIHARA, Hidetoshi ONODERA, "A Minimum Energy Point Tracking Algorithm Based on Dynamic Voltage Scaling and Adaptive Body Biasing" in IEICE TRANSACTIONS on Fundamentals,
vol. E100-A, no. 12, pp. 2776-2784, December 2017, doi: 10.1587/transfun.E100.A.2776.
Abstract: Scaling the supply voltage (Vdd) and threshold voltage (Vth) 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 Vdd and Vth, 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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.2776/_p
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@ARTICLE{e100-a_12_2776,
author={Shu HOKIMOTO, Tohru ISHIHARA, Hidetoshi ONODERA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Minimum Energy Point Tracking Algorithm Based on Dynamic Voltage Scaling and Adaptive Body Biasing},
year={2017},
volume={E100-A},
number={12},
pages={2776-2784},
abstract={Scaling the supply voltage (Vdd) and threshold voltage (Vth) 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 Vdd and Vth, 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.},
keywords={},
doi={10.1587/transfun.E100.A.2776},
ISSN={1745-1337},
month={December},}
Copy
TY - JOUR
TI - A Minimum Energy Point Tracking Algorithm Based on Dynamic Voltage Scaling and Adaptive Body Biasing
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2776
EP - 2784
AU - Shu HOKIMOTO
AU - Tohru ISHIHARA
AU - Hidetoshi ONODERA
PY - 2017
DO - 10.1587/transfun.E100.A.2776
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2017
AB - Scaling the supply voltage (Vdd) and threshold voltage (Vth) 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 Vdd and Vth, 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.
ER -
English
