Collective computing based on swarm intelligence

Authors:
Seetharam Narasimhan;Somnath Paul;Swarup Bhunia
Affiliations:
Case Western Reserve University, Cleveland, OH;Case Western Reserve University, Cleveland, OH;Case Western Reserve University, Cleveland, OH
Venue:
Proceedings of the 45th annual Design Automation Conference
Year:
2008

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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.