A Phase-Locked Minimum-Energy-Point-Tracking Enabled by Unified-Clock-Power-and-Body-Bias Slack Regulation and PI-Ratio Based In-Situ Loop Gain Optimization with 97.4% Supply Voltage Margin Recovery at Minimum-Energy-Point in 28nm FDSOI

Energy efficiency is a primary goal in modern digital system design, especially as IoT, mobile, and AI applications demand low power consumption alongside high performance. To optimize energy consumption, both supply voltage (V<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">DD</inf>) and threshold voltage (V<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</inf>) need to be tuned to operate at the Minimum Energy Point (MEP), where dynamic energy (E<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">dyn</inf>) and leakage energy (E<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">leak</inf>) are optimally balanced[1]. Achieving MEP under varied environmental and workload conditions is essential for sustaining energy-efficient performance across diverse applications, driving the need for Minimum Energy Point Tracking (MEPT) mechanisms [2]–[6].

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Published
2025-04-13
DOI
https://doi.org/10.1109/cicc63670.2025.10983658
Citations
1
Primary Topic
Low-power high-performance VLSI design
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article
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0.73
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article

A Phase-Locked Minimum-Energy-Point-Tracking Enabled by Unified-Clock-Power-and-Body-Bias Slack Regulation and PI-Ratio Based In-Situ Loop Gain Optimization with 97.4% Supply Voltage Margin Recovery at Minimum-Energy-Point in 28nm FDSOI

Hyungmin Gi, Seonho Kim, Yoonmyung Lee, Donguk Seo et al.
1 citations
Low-power high-performance VLSI design
0.73
article

A Phase-Locked Minimum-Energy-Point-Tracking Enabled by Unified-Clock-Power-and-Body-Bias Slack Regulation and PI-Ratio Based In-Situ Loop Gain Optimization with 97.4% Supply Voltage Margin Recovery at Minimum-Energy-Point in 28nm FDSOI

Hyungmin Gi, Seonho Kim, Yoonmyung Lee, Donguk Seo, Yeohoon Yoon, Shin Han, Minhyeok Jeong, Sungyong Park, Minsik Cho, W. H. Lee, Jongmin Lee, Mingyu Kim, Donggyu Kim
article en
1 citations

Abstract

Energy efficiency is a primary goal in modern digital system design, especially as IoT, mobile, and AI applications demand low power consumption alongside high performance. To optimize energy consumption, both supply voltage (V<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">DD</inf>) and threshold voltage (V<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</inf>) need to be tuned to operate at the Minimum Energy Point (MEP), where dynamic energy (E<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">dyn</inf>) and leakage energy (E<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">leak</inf>) are optimally balanced[1]. Achieving MEP under varied environmental and workload conditions is essential for sustaining energy-efficient performance across diverse applications, driving the need for Minimum Energy Point Tracking (MEPT) mechanisms [2]–[6].

Samsung (South Korea) (KR), Hyundai Motors (South Korea) (KR), Ajou University (KR), Sungkyunkwan University (KR)
Affordable and clean energy
Openalex Percentile: Top 28%
Low-power high-performance VLSI design
0.73
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