In the past decade, real-time systems (RTSs), which must maintain time constraints to avoid catastrophic consequences, have been widely introduced into various embedded systems and Internet of Things (IoTs). The RTSs are required to be energy efficient as they are used in embedded devices in which battery life is important. In this study, we investigated the RTS energy efficiency by analyzing the ability of body bias (BB) in providing a satisfying tradeoff between performance and energy. We propose a practical and realistic model that includes the BB energy and timing overhead in addition to idle region analysis. This study was conducted using accurate parameters extracted from a real chip using silicon on thin box (SOTB) technology. By using the BB control based on the proposed model, about 34% energy reduction was achieved.
Carlos Cesar CORTES TORRES
Keio University
Hayate OKUHARA
Keio University
Nobuyuki YAMASAKI
Keio University
Hideharu AMANO
Keio University
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Carlos Cesar CORTES TORRES, Hayate OKUHARA, Nobuyuki YAMASAKI, Hideharu AMANO, "Analysis of Body Bias Control Using Overhead Conditions for Real Time Systems: A Practical Approach" in IEICE TRANSACTIONS on Information,
vol. E101-D, no. 4, pp. 1116-1125, April 2018, doi: 10.1587/transinf.2017EDP7258.
Abstract: In the past decade, real-time systems (RTSs), which must maintain time constraints to avoid catastrophic consequences, have been widely introduced into various embedded systems and Internet of Things (IoTs). The RTSs are required to be energy efficient as they are used in embedded devices in which battery life is important. In this study, we investigated the RTS energy efficiency by analyzing the ability of body bias (BB) in providing a satisfying tradeoff between performance and energy. We propose a practical and realistic model that includes the BB energy and timing overhead in addition to idle region analysis. This study was conducted using accurate parameters extracted from a real chip using silicon on thin box (SOTB) technology. By using the BB control based on the proposed model, about 34% energy reduction was achieved.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2017EDP7258/_p
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@ARTICLE{e101-d_4_1116,
author={Carlos Cesar CORTES TORRES, Hayate OKUHARA, Nobuyuki YAMASAKI, Hideharu AMANO, },
journal={IEICE TRANSACTIONS on Information},
title={Analysis of Body Bias Control Using Overhead Conditions for Real Time Systems: A Practical Approach},
year={2018},
volume={E101-D},
number={4},
pages={1116-1125},
abstract={In the past decade, real-time systems (RTSs), which must maintain time constraints to avoid catastrophic consequences, have been widely introduced into various embedded systems and Internet of Things (IoTs). The RTSs are required to be energy efficient as they are used in embedded devices in which battery life is important. In this study, we investigated the RTS energy efficiency by analyzing the ability of body bias (BB) in providing a satisfying tradeoff between performance and energy. We propose a practical and realistic model that includes the BB energy and timing overhead in addition to idle region analysis. This study was conducted using accurate parameters extracted from a real chip using silicon on thin box (SOTB) technology. By using the BB control based on the proposed model, about 34% energy reduction was achieved.},
keywords={},
doi={10.1587/transinf.2017EDP7258},
ISSN={1745-1361},
month={April},}
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TY - JOUR
TI - Analysis of Body Bias Control Using Overhead Conditions for Real Time Systems: A Practical Approach
T2 - IEICE TRANSACTIONS on Information
SP - 1116
EP - 1125
AU - Carlos Cesar CORTES TORRES
AU - Hayate OKUHARA
AU - Nobuyuki YAMASAKI
AU - Hideharu AMANO
PY - 2018
DO - 10.1587/transinf.2017EDP7258
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E101-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2018
AB - In the past decade, real-time systems (RTSs), which must maintain time constraints to avoid catastrophic consequences, have been widely introduced into various embedded systems and Internet of Things (IoTs). The RTSs are required to be energy efficient as they are used in embedded devices in which battery life is important. In this study, we investigated the RTS energy efficiency by analyzing the ability of body bias (BB) in providing a satisfying tradeoff between performance and energy. We propose a practical and realistic model that includes the BB energy and timing overhead in addition to idle region analysis. This study was conducted using accurate parameters extracted from a real chip using silicon on thin box (SOTB) technology. By using the BB control based on the proposed model, about 34% energy reduction was achieved.
ER -