TY - JOUR
T1 - Analysis of body bias control using overhead conditions for real time systems
T2 - A practical approach
AU - Torres, Carlos Cesar Cortes
AU - Okuhara, Hayate
AU - Yamasaki, Nobuyuki
AU - Amano, Hideharu
N1 - Funding Information:
Manuscript received August 11, 2017. Manuscript revised November 16, 2017. Manuscript publicized January 12, 2018. †The authors are with the Department of Information and Computer Science, Keio University, Yokohama-shi, 223–8522 Japan. ∗This study was supported by Keio Kenkyu no susume scholarship. a) E-mail: cortesc@am.ics.keio.ac.jp DOI: 10.1587/transinf.2017EDP7258
Funding Information:
This work was part of the “Ultra-Low Voltage Device Project” supported by the Ministry of Economy, Trade, and Industry (METI), the New Energy and Industrial Technology Development Organization (NEDO), and JSPS KAKENHI S Grant Number 25220002.
Publisher Copyright:
Copyright © 2018 The Institute of Electronics, Information and Communication Engineers.
PY - 2018/4
Y1 - 2018/4
N2 - 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.
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.
KW - Body bias
KW - Energy-overhead
KW - Low power design
KW - Silicon-on-insulator
KW - Sotb
KW - Timeoverhead
UR - http://www.scopus.com/inward/record.url?scp=85044744028&partnerID=8YFLogxK
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U2 - 10.1587/transinf.2017EDP7258
DO - 10.1587/transinf.2017EDP7258
M3 - Article
AN - SCOPUS:85044744028
SN - 0916-8532
VL - E101D
SP - 1116
EP - 1125
JO - IEICE Transactions on Information and Systems
JF - IEICE Transactions on Information and Systems
IS - 4
ER -
