Collective computing based on swarm intelligence

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.