@inproceedings{027f0098f60e4c95b8b7433be76d230a,
title = "Student session:power-saving integrated task scheduling in multicore and hybrid memory environment",
abstract = "A new task scheduling algorithm that schedules mixed task set consisting of real-time and interactive tasks is presented. Our algorithm aims at minimizing the power consumption of the system with the reasonable response time of interactive tasks as well as the deadline guarantees of real-time tasks. Experimental results show that the proposed algorithm improves the power consumption by 23% on average. ",
keywords = "Dynamic Voltage Scaling, Genetic Algorithm, Hybrid Memory, Power-saving, Real-time scheduling",
author = "Yewon Jo and Suhyeon Yoo and Hyokyung Bahn",
note = "Funding Information: This work was supported by Korea Institute for Advancement of Technology (KIAT) grant funded by the Korea Government (MOTIE) (N0001111, Innovative Engineering Education) Publisher Copyright: {\textcopyright} 2020 IEEE.; null ; Conference date: 19-08-2020 Through 21-08-2020",
year = "2020",
month = aug,
doi = "10.1109/RTCSA50079.2020.9203632",
language = "English",
series = "2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2020",
}