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Designing a multi-core hard real-time test bed for energy measurement experiments

Published: 08 March 2009 Publication History
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  • Abstract

    This paper presents a systematic methodology to implement and validate schemes for energy-efficient task allocation and scheduling in multi-core hard real-time embedded systems. A real-life test bed comprising dual-core Intel T2500 processor with dynamic voltage scaling (DVS) capability and running Linux Fedora 8 based hard real-time scheduling has been developed to accurately benchmark the energy-savings of various proposed scheduling schemes and the experience from implementation is summarized to serve as potential guidelines for other researchers and practitioners.

    References

    [1]
    T. Wei, P. Mishra, K. Wu, and H. Liang, "Online task-scheduling for fault-tolerant low-energy real-time systems," in Proc. Int. Conf. Computer-Aided Design, San Jose, CA, Nov. 2006, pp. 522--527.
    [2]
    T. Wei, P. Mishra, K. Wu, and H. Liang, "Fixed-priority allocation and scheduling for energy-efficient fault tolerance in hard real-time multiprocessor systems," in IEEE Trans. on Parallel and Distributed Syst., vol. 19, no. 11, pp. 1511--1526, Jul., 2008.

    Cited By

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    • (2018)Achieving self-aware parallelism in stream programsCluster Computing10.1007/s10586-014-0412-x18:2(949-962)Online publication date: 24-Dec-2018
    • (2012)Neighbor-aware dynamic thermal management for multi-core platformProceedings of the Conference on Design, Automation and Test in Europe10.5555/2492708.2492756(187-192)Online publication date: 12-Mar-2012
    • (2012)Neighbor-aware dynamic thermal management for multi-core platform2012 Design, Automation & Test in Europe Conference & Exhibition (DATE)10.1109/DATE.2012.6176460(187-192)Online publication date: Mar-2012
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    cover image ACM Conferences
    SAC '09: Proceedings of the 2009 ACM symposium on Applied Computing
    March 2009
    2347 pages
    ISBN:9781605581668
    DOI:10.1145/1529282
    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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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 08 March 2009

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    SAC09
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    SAC09: The 2009 ACM Symposium on Applied Computing
    March 8, 2009 - March 12, 2008
    Hawaii, Honolulu

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    Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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    View all
    • (2018)Achieving self-aware parallelism in stream programsCluster Computing10.1007/s10586-014-0412-x18:2(949-962)Online publication date: 24-Dec-2018
    • (2012)Neighbor-aware dynamic thermal management for multi-core platformProceedings of the Conference on Design, Automation and Test in Europe10.5555/2492708.2492756(187-192)Online publication date: 12-Mar-2012
    • (2012)Neighbor-aware dynamic thermal management for multi-core platform2012 Design, Automation & Test in Europe Conference & Exhibition (DATE)10.1109/DATE.2012.6176460(187-192)Online publication date: Mar-2012
    • (2011)Throughput Maximization for Intel Desktop Platform under the Maximum Temperature ConstraintProceedings of the 2011 IEEE/ACM International Conference on Green Computing and Communications10.1109/GreenCom.2011.10(9-15)Online publication date: 4-Aug-2011

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