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ETAHM: an energy-aware task allocation algorithm for heterogeneous multiprocessor

Authors:

Po-Chun Chang,

I-Wei Wu,

Jyh-Jiun Shann,

Chung-Ping ChungAuthors Info & Claims

DAC '08: Proceedings of the 45th annual Design Automation Conference

Pages 776 - 779

https://doi.org/10.1145/1391469.1391667

Published: 08 June 2008 Publication History

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Abstract

In demand of more computing power and less energy use, multiprocessor with power management facility emerges in embedded system design recently. Dynamic Voltage Scaling is such a facility that varies clock speed and supply voltage to save more energy. In this paper, we propose ETAHM to allocate tasks on a target multiprocessor system. In pursuit of global optimal solution, it mixes task scheduling, mapping and DVS utilization in one phase and couples ant colony optimization algorithm. Extensive experiments show ETAHM could save 22.71% more energy than CASPER [1], a state-of-the-art integrated framework that tackles the identical problem with genetic algorithm instead.

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Cited By

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Rupanetti DSalamy H(2021)Thermal and energy-aware utilisation management on MPSoC architecturesInternational Journal of Parallel, Emergent and Distributed Systems10.1080/17445760.2021.194100836:5(449-469)Online publication date: 18-Jun-2021
https://doi.org/10.1080/17445760.2021.1941008
Kumar ARao T(2019)Efficient Core Mapping on Customization of NoC Platforms2019 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)10.1109/iSES47678.2019.00025(57-62)Online publication date: Dec-2019
https://doi.org/10.1109/iSES47678.2019.00025
Rupanetti DSalamy H(2019)Thermal-Constrained. Energy-Aware Load Management on MPSoC Architectures2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)10.1109/UEMCON47517.2019.8993099(1168-1174)Online publication date: Oct-2019
https://doi.org/10.1109/UEMCON47517.2019.8993099
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Index Terms

ETAHM: an energy-aware task allocation algorithm for heterogeneous multiprocessor
1. Computing methodologies
  1. Artificial intelligence
    1. Control methods
    2. Search methodologies
2. Theory of computation
  1. Design and analysis of algorithms
    1. Algorithm design techniques
      1. Dynamic programming

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Published In

DAC '08: Proceedings of the 45th annual Design Automation Conference

June 2008

993 pages

ISBN:9781605581156

DOI:10.1145/1391469

General Chair:
Limor Fix
Intel Research Pittsburgh, Pittsburgh, PA

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: 08 June 2008

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National Science Council Taiwan

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SIGDA

DAC '08: The 45th Annual Design Automation Conference 2008

June 8 - 13, 2008

California, Anaheim

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

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Rupanetti DSalamy H(2021)Thermal and energy-aware utilisation management on MPSoC architecturesInternational Journal of Parallel, Emergent and Distributed Systems10.1080/17445760.2021.194100836:5(449-469)Online publication date: 18-Jun-2021
https://doi.org/10.1080/17445760.2021.1941008
Kumar ARao T(2019)Efficient Core Mapping on Customization of NoC Platforms2019 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)10.1109/iSES47678.2019.00025(57-62)Online publication date: Dec-2019
https://doi.org/10.1109/iSES47678.2019.00025
Rupanetti DSalamy H(2019)Thermal-Constrained. Energy-Aware Load Management on MPSoC Architectures2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)10.1109/UEMCON47517.2019.8993099(1168-1174)Online publication date: Oct-2019
https://doi.org/10.1109/UEMCON47517.2019.8993099
Qin YZeng GKurachi RMatsubara YTakada H(2018)Energy-Aware Task Allocation for Large Task Sets on Heterogeneous Multiprocessor Systems2018 IEEE 16th International Conference on Embedded and Ubiquitous Computing (EUC)10.1109/EUC.2018.00031(158-165)Online publication date: Oct-2018
https://doi.org/10.1109/EUC.2018.00031
Huang KJiang XZhang XYan RWang KXiong DYan X(2018)Energy-Efficient Fault-Tolerant Mapping and Scheduling on Heterogeneous Multiprocessor Real-Time SystemsIEEE Access10.1109/ACCESS.2018.28736416(57614-57630)Online publication date: 2018
https://doi.org/10.1109/ACCESS.2018.2873641
Xu XHu XChen WLi Y(2016)Set-based particle swarm optimization for mapping and scheduling tasks on heterogeneous embedded systems2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)10.1109/ICACI.2016.7449845(318-325)Online publication date: Feb-2016
https://doi.org/10.1109/ICACI.2016.7449845
Yi JZhuge QHu JGu SQin MSha E(2015)Reliability-Guaranteed Task Assignment and Scheduling for Heterogeneous Multiprocessors Considering Timing ConstraintJournal of Signal Processing Systems10.1007/s11265-014-0958-081:3(359-375)Online publication date: 1-Dec-2015
https://dl.acm.org/doi/10.1007/s11265-014-0958-0
Shah A(2014)Adaptive Scheduling for Real-Time Distributed SystemsBiologically-Inspired Techniques for Knowledge Discovery and Data Mining10.4018/978-1-4666-6078-6.ch011(236-248)Online publication date: 2014
https://doi.org/10.4018/978-1-4666-6078-6.ch011
Krpic ZCrnkovic ICarlson J(2014)Towards a Common Software-to-Hardware Allocation Framework for the Heterogeneous High Performance ComputingProceedings of the 2014 IEEE 38th International Computer Software and Applications Conference Workshops10.1109/COMPSACW.2014.65(378-383)Online publication date: 21-Jul-2014
https://dl.acm.org/doi/10.1109/COMPSACW.2014.65
Oxley MPasricha SSiegel HMaciejewski A(2014)Energy and Deadline Constrained Robust Stochastic Static Resource AllocationParallel Processing and Applied Mathematics10.1007/978-3-642-55224-3_71(761-771)Online publication date: 6-May-2014
https://doi.org/10.1007/978-3-642-55224-3_71
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Task scheduling using Ant Colony Optimization in multicore architectures: a survey

Energy-efficient scheduling of real-time tasks with shared resources

Variable voltage task scheduling algorithms for minimizing energy/power

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Task scheduling using Ant Colony Optimization in multicore architectures: a survey

Energy-efficient scheduling of real-time tasks with shared resources

Variable voltage task scheduling algorithms for minimizing energy/power

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