CP-FPGA: Energy-Efficient Nonvolatile FPGA with Offline/Online Checkpointing Optimization

Zhe Yuan, Yongpan Liu*, Jinyang Li, Jingtong Hu, Chun Jason Xue, Huazhong Yang

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

8 Citations (Scopus)

Abstract

Field-programmable gate arrays (FPGAs) have drawn lots of attentions due to their programmability and high performance. Recently, ultralow-power FPGAs for Internet of Things, together with energy-harvesting technique, have become an emerging self-powered computing platform. However, volatile memory in FPGA will lose their states under unstable power supplies and cannot work efficiently. Nonvolatile FPGA becomes a promising alternative. This paper proposes a hardware/software codesign nonvolatile FPGA with efficient offline/online checkpointing strategy (CP-FPGA). Backup energy is reduced by offline selecting proper checkpointing locations to minimize backup data. An online scheduler is further proposed to balance computation rollback overhead against backup energy. Experimental results show that the proposed CP-FPGA reduces 39.5% energy consumption on average compared with the stateof-the-art techniques.
Original languageEnglish
Article number7889029
Pages (from-to)2153-2163
JournalIEEE Transactions on Very Large Scale Integration (VLSI) Systems
Volume25
Issue number7
Online published29 Mar 2017
DOIs
Publication statusPublished - Jul 2017

Research Keywords

  • Checkpoint
  • Internet of Things (IoT)
  • low power
  • nonvolatile field-programmable gate array (FPGA)

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