research-article

Performance-aware task scheduling for energy harvesting nonvolatile processors considering power switching overhead

Authors:

Chun Jason Xue,

Huazhong YangAuthors Info & Claims

DAC '16: Proceedings of the 53rd Annual Design Automation Conference

Article No.: 156, Pages 1 - 6

https://doi.org/10.1145/2897937.2898059

Published: 05 June 2016 Publication History

Abstract

Nonvolatile processors have manifested strong vitality in battery-less energy harvesting sensor nodes due to their characteristics of zero standby power, resilience to power failures and fast read/write operations. However, I/O and sensing operations cannot store their system states after power off, hence they are sensitive to power failures and high power switching overhead is induced during power oscillation, which significantly degrades the system performance. In this paper, we propose a novel performance-aware task scheduling technique considering power switching overhead for energy harvesting nonvolatile processors. We first give the analysis of the power switching overhead on energy harvesting sensor nodes. Then, the scheduling problem is formulated by MILP (Mixed Integer Linear Programming). Furthermore, a task splitting strategy is adopted to improve the performance and an heuristic scheduling algorithm is proposed to reduce the problem complexity. Experimental results show that the proposed scheduling approach can improve the performance by 14% on average compared to the state-of-the-art scheduling strategy. With the employment of the task splitting approach, the execution time can be further reduced by 10.6%.

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Cited By

Zhou ZFu CXue CHan S(2020)Energy-Constrained Data Freshness Optimization in Self-Powered Networked Embedded SystemsIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2019.294890539:10(2293-2306)Online publication date: Oct-2020
https://doi.org/10.1109/TCAD.2019.2948905
Zhou ZFu CXue CHan S(2019)Transmit or DiscardProceedings of the 56th Annual Design Automation Conference 201910.1145/3316781.3317926(1-6)Online publication date: 2-Jun-2019
https://dl.acm.org/doi/10.1145/3316781.3317926
Shi XWu TQiu KYang HLiu Y(2018)Time Stamp Based Scheduling for Energy Harvesting Systems with Hybrid Nonvolatile Hardware Support2018 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)10.1109/ISVLSI.2018.00069(339-344)Online publication date: Jul-2018
https://doi.org/10.1109/ISVLSI.2018.00069
Show More Cited By

Index Terms

Performance-aware task scheduling for energy harvesting nonvolatile processors considering power switching overhead
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Embedded systems
      1. Embedded software
  2. Real-time systems
    1. Real-time system specification

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cover image ACM Other conferences

DAC '16: Proceedings of the 53rd Annual Design Automation Conference

June 2016

1048 pages

ISBN:9781450342360

DOI:10.1145/2897937

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 05 June 2016

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DAC '16

DAC '16: The 53rd Annual Design Automation Conference 2016

June 5 - 9, 2016

Texas, Austin

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Overall Acceptance Rate 1,770 of 5,499 submissions, 32%

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Cited By

Zhou ZFu CXue CHan S(2020)Energy-Constrained Data Freshness Optimization in Self-Powered Networked Embedded SystemsIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2019.294890539:10(2293-2306)Online publication date: Oct-2020
https://doi.org/10.1109/TCAD.2019.2948905
Zhou ZFu CXue CHan S(2019)Transmit or DiscardProceedings of the 56th Annual Design Automation Conference 201910.1145/3316781.3317926(1-6)Online publication date: 2-Jun-2019
https://dl.acm.org/doi/10.1145/3316781.3317926
Shi XWu TQiu KYang HLiu Y(2018)Time Stamp Based Scheduling for Energy Harvesting Systems with Hybrid Nonvolatile Hardware Support2018 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)10.1109/ISVLSI.2018.00069(339-344)Online publication date: Jul-2018
https://doi.org/10.1109/ISVLSI.2018.00069
Li XXie NTian X(2017)Dynamic Voltage-Frequency and Workload Joint Scaling Power Management for Energy Harvesting Multi-Core WSN Node SoCSensors10.3390/s1702031017:2(310)Online publication date: 8-Feb-2017
https://doi.org/10.3390/s17020310
Pan CXie MLiu YWang YXue CWang YChen YHu J(2017)A lightweight progress maximization scheduler for non-volatile processor under unstable energy harvestingACM SIGPLAN Notices10.1145/3140582.308103852:5(101-110)Online publication date: 21-Jun-2017
https://dl.acm.org/doi/10.1145/3140582.3081038
Pan CXie MLiu YWang YXue CWang YChen YHu JNagarajan VShao Z(2017)A lightweight progress maximization scheduler for non-volatile processor under unstable energy harvestingProceedings of the 18th ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems10.1145/3078633.3081038(101-110)Online publication date: 21-Jun-2017
https://dl.acm.org/doi/10.1145/3078633.3081038
Asai DYanagisawa MTogawa N(2017)Floorplan-driven high-level synthesis using volatile/non-volatile registers for hybrid energy-harvesting systems2017 IEEE 12th International Conference on ASIC (ASICON)10.1109/ASICON.2017.8252412(64-67)Online publication date: Oct-2017
https://doi.org/10.1109/ASICON.2017.8252412
Chen WCheng THsiu PKuo T(2016)Value-Based Task Scheduling for Nonvolatile Processor-Based Embedded Devices2016 IEEE Real-Time Systems Symposium (RTSS)10.1109/RTSS.2016.032(247-256)Online publication date: Nov-2016
https://doi.org/10.1109/RTSS.2016.032

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