Abstract
Starting from the observation of natural systems, bio-inspired collaborative schemes exploit the power of a fully decentralized control to perform complex tasks. Currently this approach concerns software and robotic systems. In this paper we apply a such approach to the VLSI implementation of the basic task in DSP systems: the summation of products. We analyze such operation in terms of parallel distributed computation, showing how such reformulation can take advantages from the cooperation between cells of a small colony. The interaction among cells, based on simple social rules, leads to a full exploitation of cells computational capabilities obtaining a more efficient usage of their computational resources in a so important task. A preliminary VLSI implementation and theoretical results are presented to show the feasibility of this approach.
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Pani, D., Raffo, L. (2004). A Swarm Intelligence Based VLSI Multiplication-and-Add Scheme. In: Yao, X., et al. Parallel Problem Solving from Nature - PPSN VIII. PPSN 2004. Lecture Notes in Computer Science, vol 3242. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30217-9_37
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DOI: https://doi.org/10.1007/978-3-540-30217-9_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23092-2
Online ISBN: 978-3-540-30217-9
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