Performance-aware task scheduling for energy harvesting nonvolatile processors considering power switching overhead
Author:
Affiliation:
1. Tsinghua University, Beijing, China
2. City University of Hong Kong, Hong Kong SAR
3. Oklahoma State University, Stillwater, OK
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2897937.2898059
Reference15 articles.
1. A Multi-Agent Framework for Thermal Aware Task Migration in Many-Core Systems
2. Harvesting-Aware Power Management for Real-Time Systems With Renewable Energy
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1. Transmit or Discard;Proceedings of the 56th Annual Design Automation Conference 2019;2019-06-02
2. A lightweight progress maximization scheduler for non-volatile processor under unstable energy harvesting;ACM SIGPLAN Notices;2017-09-14
3. A lightweight progress maximization scheduler for non-volatile processor under unstable energy harvesting;Proceedings of the 18th ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems;2017-06-21
4. Dynamic Voltage-Frequency and Workload Joint Scaling Power Management for Energy Harvesting Multi-Core WSN Node SoC;Sensors;2017-02-08
5. Value-based Task Scheduling for Nonvolatile Processor-based Embedded Devices;2016
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