@inproceedings{a6f405a848c748e9ace8faf446275924,
title = "Brief industry paper: An energy-reduction on-chip memory management for intermittent systems",
abstract = "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.",
keywords = "embedded system, energy reduction, intermittent systems, scartchpad memory",
author = "Liang, {Yu Pei} and Fang, {Yu Ting} and Chen, {Shuo Han} and Chen, {Yen Ting} and Chen, {Tseng Yi} and Wang, {Wei Lin} and Shih, {Wei Kuan} and Chang, {Yuan Hao}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 27th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2021 ; Conference date: 18-05-2021 Through 21-05-2021",
year = "2021",
month = may,
doi = "10.1109/RTAS52030.2021.00044",
language = "English",
series = "Proceedings of the IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "429--432",
booktitle = "Proceedings - 2021 IEEE 27th Real-Time and Embedded Technology and Applications Symposium, RTAS 2021",
address = "美國",
}