Distance Computation Based on Coupled Spin-Torque Oscillators: Application to Image Processing
Minsuk Koo, Matthew Pufall, Yong Shim, Anthony B. Kos, Gyorgy Csaba, Wolfgang Porod , William Rippard, Kaushik Roy
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.
, Pufall, M.
, Shim, Y.
, Kos, A.
, Csaba, G.
, Porod, W.
, Rippard, W.
and Roy, K.
Distance Computation Based on Coupled Spin-Torque Oscillators: Application to Image Processing, Physical Review, [online], https://doi.org/10.1103/PhysRevApplied.14.034001, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=927774
(Accessed November 28, 2021)