Multisource Indoor Energy Harvesting for Nonvolatile Processors

Caiwen Ding, Ning Liu, Yanzhi Wang, Ji Li, Soroush Heidari, Jingtong Hu, Yongpan Liu

Research output: Contribution to journalArticle

6 Scopus citations


One promising application of emerging memories is to implement a nonvolatile memory hierarchy that can retain the data when power is removed. In this work, the authors present some design techniques of nonvolatile processors with a multisource energy-harvesting system that combines thermal, kinetic, and indoor photovoltaic sources to provide a stable power supply. - Yiran Chen, Duke University.

Original languageEnglish (US)
Article number7879222
Pages (from-to)42-49
Number of pages8
JournalIEEE Design and Test
Issue number3
StatePublished - Jun 2017


  • Non-volatile processor (NVP)
  • energy harvesting
  • multiple energy sources
  • neural network

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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  • Cite this

    Ding, C., Liu, N., Wang, Y., Li, J., Heidari, S., Hu, J., & Liu, Y. (2017). Multisource Indoor Energy Harvesting for Nonvolatile Processors. IEEE Design and Test, 34(3), 42-49. [7879222].