CO-designed Improved Neural Foundations Leveraging Inherent Physics Stochasticity
As part of a new microelectronics codesign research program, the Department of Energy’s Office of Science recently awarded the project $6 million over the next three years to develop the idea. The project team consists of Sandia National Laboratories, Oak Ridge National Laboratory, New York University, the University of Texas at Austin and Temple University in Philadelphia. The team proposes that a “probabilistic computer” could not only create smarter maintenance schedules but also help scientists analyze subatomic shrapnel inside particle colliders, simulate nuclear physics experiments and process images faster and more accurately than is possible with conventional computers.
Codesign involves multidisciplinary collaboration that takes into account the interdependencies among materials, physics, architectures and software. Researchers also will look at ways to incorporate machine learning methods. A large numbers of devices, such as magnetic tunnel junctions and tunnel diodes, can be operated in a stochastic regime and incorporated into a scalable neuromorphic architecture that can impact a number of probabilistic computing applications, such as Monte Carlo simulations and Bayesian neural networks.
We have deterministic computing covered but we need probabilistic computing technologies:
COINFLIPS devices target the best of analog and digital
AI can learn circuits that sample from non-uniform probability distributions
COINFLIPS is exploring several strategies to convert Bernoulli coinflips to samples from targeted distributions
Generation of Random Numbers can be evaluated according to several metrics
Misra et al., Advanced Materials 2023
Copyright © 2023 Funded under the DOE National Laboratory Announcement Microelectronics Co-Design Research. SAND2022-3825 C and SAND2022-16196 O
We acknowledge support from the DOE Office of Science's Advanced Scientific Computing Research (ASCR) program and Basic Energy Sciences (BES) programs, Microelectronics Co-Design project COINFLIPS.