Design insights of non-volatile processors and accelerators in energy harvesting systems

Keni Qiu, Mengying Zhao, Zhenge Jia, Jingtong Hu, Chun Jason Xue, Kaisheng Ma, Xueqing Li, Yongpan Liu, Vijaykrishnan Narayanan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

There is growing interest in deploying energy harvesting processors and accelerators in Internet of Things (IoT). Energy harvesting harnesses the energy scavenged from the environment to power a system. Although it has many advantages over battery-operated systems such as lightweight, compact size, and no necessity of recharging and maintenance, it may suffer frequently power-down and a fluctuating power supply even with power on. Non-volatile processor (NVP) is a promising architecture for effective computing in energy harvesting scenarios. Recently, non-volatile accelerators (NVA) have been proposed to perform computations of deep learning algorithms. In this paper, we overview the recent studies of NVP and NVA across the layers of hardware, architecture, software and their co-design. Especially, we present the design insights of how the state-of-the-art works adapt their specific designs to the intermittent and fluctuating power conditions with the energy harvesting technology. Finally, we discuss recent trends using NVP and NVA in energy harvesting scenarios.

Original languageEnglish (US)
Title of host publicationGLSVLSI 2020 - Proceedings of the 2020 Great Lakes Symposium on VLSI
PublisherAssociation for Computing Machinery
Pages369-374
Number of pages6
ISBN (Electronic)9781450379441
DOIs
StatePublished - Sep 7 2020
Event30th Great Lakes Symposium on VLSI, GLSVLSI 2020 - Virtual, Online, China
Duration: Sep 7 2020Sep 9 2020

Publication series

NameProceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI

Conference

Conference30th Great Lakes Symposium on VLSI, GLSVLSI 2020
CountryChina
CityVirtual, Online
Period9/7/209/9/20

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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