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Advances in Artificial Intelligence-based Technologies pp 179–207Cite as

Coupled Oscillator Networks for von Neumann and Non-von Neumann Computing

Part of the Learning and Analytics in Intelligent Systems book series (LAIS,volume 22)

Abstract

The frenetic growth of the need for computation performance and efficiency, along with the intrinsic limitations of the current main solutions, is pushing the scientific community towards unconventional, and sometimes even exotic, alternatives to the standard computing architectures. In this work we provide a panorama of the most relevant alternatives, both according and not to the von Neumann architecture, highlighting which of the classical challenges, such as energy efficiency and/or computational complexity, they are trying to tackle. We focus on the alternatives based on networks of weakly coupled oscillators. This unconventional approach, already introduced by Goto and von Neumann in the 1950s, is recently regaining interest with potential applications to both von Neumann and non-von Neumann type of computing. In this contribution, we present a general framework based on the phase equation derived from the description of nonlinear weakly coupled oscillators, especially useful for computing applications. We then use this formalism to design and prove the working principle and stability assessment of Boolean gates such as NOT and MAJORITY, that can be potentially employed as building blocks for both von Neumann and non-von Neumann architectures.

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Authors and Affiliations

  1. Department of Electronics and Telecommunication, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Turin, Italy

    Michele Bonnin & Fabrizio Bonani

  2. MemComputing Inc, 9909 Huennekens Street, Suite 110, 92121, San Diego, CA, USA

    Fabio Lorenzo Traversa

Authors
  1. Michele Bonnin
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  2. Fabio Lorenzo Traversa
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  3. Fabrizio Bonani
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Correspondence to Michele Bonnin .

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Editors and Affiliations

  1. Department of Informatics, University of Piraeus, Piraeus, Greece

    Prof. Dr. Maria Virvou

  2. Department of Informatics, University of Piraeus, Piraeus, Greece

    Prof. Dr. George A. Tsihrintzis

  3. Director of Applied Intelligent Systems Laboratory, Department of Nuclear Engineering, Purdue University, West Lafayette, IN, USA

    Prof. Lefteri H. Tsoukalas

  4. KES International, Shoreham-by-Sea, UK

    Prof. Dr. Lakhmi C. Jain

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Bonnin, M., Traversa, F.L., Bonani, F. (2022). Coupled Oscillator Networks for von Neumann and Non-von Neumann Computing. In: Virvou, M., Tsihrintzis, G.A., Tsoukalas, L.H., Jain, L.C. (eds) Advances in Artificial Intelligence-based Technologies. Learning and Analytics in Intelligent Systems, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-030-80571-5_11

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