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Zewei Li

Researcher at Tsinghua University

Publications -  10
Citations -  294

Zewei Li is an academic researcher from Tsinghua University. The author has contributed to research in topics: Initialization & Energy consumption. The author has an hindex of 6, co-authored 10 publications receiving 235 citations. Previous affiliations of Zewei Li include Rohm.

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Proceedings ArticleDOI

Ambient energy harvesting nonvolatile processors: from circuit to system

TL;DR: New metrics of nonvolatile processors to consider energy harvesting factors for the first time are proposed and the nonvolatility processor design from circuit to system level is explored.
Journal ArticleDOI

Storage-Less and Converter-Less Photovoltaic Energy Harvesting With Maximum Power Point Tracking for Internet of Things

TL;DR: This paper pioneers a converter-less PV power system with the maximum power point tracking that directly supplies power to the load without the power converters or the energy storage element and achieves an 87.1% of overall system efficiency during a day.
Journal ArticleDOI

Stack-Size Sensitive On-Chip Memory Backup for Self-Powered Nonvolatile Processors

TL;DR: This paper proposes to analyze the application program and identify efficient backup positions, by which the stack content to back up can be significantly reduced, and aims to reduce the amount of data that need to be backed up during a power failure.
Proceedings ArticleDOI

HW/SW co-design of nonvolatile IO system in energy harvesting sensor nodes for optimal data acquisition

TL;DR: A ferroelectric flip-flop based nonvolatile IO architecture is adopted and a risk-aware online scheduler is presented to solve the optimal data acquisition as an INLP problem and improve data acquisition by 2-5 times compared with conventional HW/SW architecture.
Journal ArticleDOI

A 130-nm Ferroelectric Nonvolatile System-on-Chip With Direct Peripheral Restore Architecture for Transient Computing System

TL;DR: A nonvolatile system-on-chip (NVSoC) with improved integration level, power management flexibility, and system wake-up speed is presented and a direct peripheral restore architecture is outlined, which enables a fast and parallel re-configuration of peripheral devices after the resumption of power supply.