Brief industry paper: An energy-reduction on-chip memory management for intermittent systems

Yu Pei Liang, Yu Ting Fang, Shuo Han Chen, Yen Ting Chen, Tseng Yi Chen, Wei Lin Wang, Wei Kuan Shih, Yuan Hao Chang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

2 引文 斯高帕斯(Scopus)

摘要

Intermittent systems enable continuous and accumulative process execution under constraint or unstable power supply. To enable intermittent computing, process status and data are typically checkpointed from volatile memory (VM) to nonvolatile memory (NVM) before running out of power. After power resumes, these logged data can be loaded back from NVM to VM for continuous execution. Nevertheless, existing approaches rarely considered the energy consumed during moving data and may waste precious power resource over data movement, instead of computation. Such observation motivates us to propose an energy-reduction on-chip memory management (ERCM2) scheme to utilize the high cell density and non-volatility of SpinTransfer Torque RAM (STT-RAM) for enabling a hybrid on chip memory architecture. The experimental results show that the proposed scheme can achieve the access performance close to conventional SRAM-based on-chip memory architecture with lower energy consumption.

原文???core.languages.en_GB???
主出版物標題Proceedings - 2021 IEEE 27th Real-Time and Embedded Technology and Applications Symposium, RTAS 2021
發行者Institute of Electrical and Electronics Engineers Inc.
頁面429-432
頁數4
ISBN(電子)9781665403863
DOIs
出版狀態已出版 - 5月 2021
事件27th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2021 - Virtual, Online
持續時間: 18 5月 202121 5月 2021

出版系列

名字Proceedings of the IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS
2021-May
ISSN(列印)1545-3421

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???event.eventtypes.event.conference???27th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2021
城市Virtual, Online
期間18/05/2121/05/21

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