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Collective computing based on swarm intelligence

Published: 08 June 2008 Publication History

Abstract

We present a novel computing framework consisting of multiple processing cores that exhibits swarm-like behavior. Conventional parallel processing paradigm typically requires a central controller for job assignment, inter-core communications and defect-tolerance. The proposed system leverages on the collective intelligence of a swarm of processing elements to avoid the bottleneck imposed by a central scheduler. Preliminary simulations show promising results for common signal processing applications.

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P. M. Kogge, "An exploration of the technology space for multi-core memory/logic chips for highly scalable parallel systems," IAFGHPPS, 2005.
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T. Fossum, "On-die interconnect and other challenges for chip-level multi-processing," HOTI, 2007.
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P. Miller, "Swarm behavior," Nat. Geo., July 2007. http://www7.nationalgeographic.com/ngm/0707/feature5/index.html.
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L. Szumel et al, "The virtual pheromone communication primitive," ICDCCS, 2006.
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D. Payton et al, "Compound behaviors in pheromone robotics," Robotics and Autonomous Systems, 2003.
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S. Bhunia et al, "GAARP: A power-aware GALS architecture for real-time algorithm specific tasks," IEEE Computers, 2005.

Cited By

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  • (2013)A Hardware Collective Intelligence AgentTransactions on Computational Collective Intelligence X10.1007/978-3-642-38496-7_4(45-59)Online publication date: 2013
  • (2009)Dynamic evaluation of hardware trustProceedings of the 2009 IEEE International Workshop on Hardware-Oriented Security and Trust10.1109/HST.2009.5224990(108-111)Online publication date: 27-Jul-2009

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  1. Collective computing based on swarm intelligence

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    cover image ACM Conferences
    DAC '08: Proceedings of the 45th annual Design Automation Conference
    June 2008
    993 pages
    ISBN:9781605581156
    DOI:10.1145/1391469
    • General Chair:
    • Limor Fix
    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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    New York, NY, United States

    Publication History

    Published: 08 June 2008

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    Author Tags

    1. adaptive computing
    2. collective intelligence
    3. multi-processor

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    Cited By

    View all
    • (2013)A Hardware Collective Intelligence AgentTransactions on Computational Collective Intelligence X10.1007/978-3-642-38496-7_4(45-59)Online publication date: 2013
    • (2009)Dynamic evaluation of hardware trustProceedings of the 2009 IEEE International Workshop on Hardware-Oriented Security and Trust10.1109/HST.2009.5224990(108-111)Online publication date: 27-Jul-2009

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