Distance Computation Based on Coupled Spin-Torque Oscillators: Application to Image Processing

Minsuk Koo, M.R. Pufall, Yong Shim, A.B. Kos, Gyorgy Csaba, Wolfgang Porod, W.H. Rippard, and Kaushik Roy
Phys. Rev. Applied 14, 034001 – Published 1 September 2020

Abstract

Recent research on nano-oscillators has shown the possibility of using a coupled-oscillator network as a core-computing primitive for non-Boolean computation. The spin-torque oscillator (STO) is an attractive candidate because it is CMOS compatible, highly integrable, scalable, and frequency and phase tunable. Based on these promising features, we propose an alternative coupled-oscillator-based architecture for hybrid spintronic and CMOS hardware that computes a multidimensional norm. The hybrid system, composed of an array of four injection-locked STOs and a CMOS detector, is experimentally demonstrated. The measured performance is then used as the input to simulations that demonstrate the hybrid system as both a distance metric and a convolution computational primitive for image-processing applications. Energy and scaling analysis shows that the STO-based coupled-oscillatory system has a higher efficiency than the CMOS-based system with an order of magnitude faster computation speed in distance computation for high-dimensional input vectors.

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  • Received 4 March 2020
  • Revised 28 May 2020
  • Accepted 22 June 2020

DOI:https://doi.org/10.1103/PhysRevApplied.14.034001

© 2020 American Physical Society

Physics Subject Headings (PhySH)

Nonlinear DynamicsCondensed Matter, Materials & Applied Physics

Authors & Affiliations

Minsuk Koo1,*, M.R. Pufall2, Yong Shim1, A.B. Kos2, Gyorgy Csaba3, Wolfgang Porod4, W.H. Rippard2, and Kaushik Roy1,†

  • 1Department of Computer Science and Engineering, Incheon National University, Incheon, South Korea
  • 2Quantum Electromagnetics Division, National Institute of Standards and Technology, 325 Broadway, Boulder, Colorado 80305, USA
  • 3School of Electrical and Electronics Engineering, Chung-Ang University, Seoul, South Korea
  • 4Faculty of Technology and Bionics, Pazmany Peter Catholic University, Budapest, Hungary
  • 5Center for Nano Science and Technology, University of Notre Dame, Notre Dame, Indiana 46556, USA
  • 6Department of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana 47907, USA

  • *koo@inu.ac.kr
  • kaushik@purdue.edu

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Vol. 14, Iss. 3 — September 2020

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