The Japan Society of Applied Physics

10:45 AM - 11:15 AM

[B-6-01 (Invited)] Hardware Implementation of Probabilistic Models through Nanodevice Variability

Louis Hutin1, Djohan Bonnet1, Kamal Danouchi2, Tifenn Hirtzlin1, Thomas Dalgaty3, Philippe Talatchian2, Francois Andrieu1, Kevin Garello2, Damien Querlioz4, Elisa Vianello1 (1. CEA-Leti (France), 2. CEA-CNRS-SPINTEC (France), 3. CEA-List (France), 4. Univ. Paris-Saclay, CNRS (France))

https://doi.org/10.7567/SSDM.2023.B-6-01

This paper investigates the utilization of nanodevices as physical random variables to enable low-power hardware implementations of probabilistic models. Specifically, two approaches are explored: the first approach employs resistive memories as multi-level random variables for implementing Bayesian Neural Networks. The second approach involves Ising Networks using stochastic magnetic tunnel junctions to spontaneously tunable random bit streams.