223 citations · 786 across the 15 of their papers we have counts for
15 papers
Improving deep neural network performance through sampling
Lakshmi A. Ghantasala, Ming-Che Li, Risi Jaiswal +4
Energy efficient sampling with probabilistic neurons or p-bits has been demonstrated in the context of Boltzmann machines and it is natural to ask if these approaches can be extend…
Benchmarking a Probabilistic Coprocessor
Jan Kaiser, Risi Jaiswal, Behtash Behin-Aein +1
Computation in the past decades has been driven by deterministic computers based on classical deterministic bits. Recently, alternative computing paradigms and domain-based computi…
Intrinsic optimization using stochastic nanomagnets
Brian Sutton, Kerem Yunus Camsari, Behtash Behin-Aein +1
This paper draws attention to a hardware system which can be engineered so that its intrinsic physics is described by the generalized Ising model and can encode the solution to man…
Numerical Fokker-Planck study of stochastic write error slope in spin torque switching
Yunkun Xie, Behtash Behin-Aein, Avik W. Ghosh
This paper analyzes write errors in spin torque switching due to thermal fluctuations in a system with Perpendicular Magnetic Anisotropy (PMA). Prior analytical and numerical metho…
A building block for hardware belief networks
Behtash Behin-Aein, Vinh Diep, Supriyo Datta
Belief networks represent a powerful approach to problems involving probabilistic inference, but much of the work in this area is software based utilizing standard deterministic ha…
Computing with spins and magnets
Behtash Behin-Aein, Jian-Ping Wang, Roland Wiesendanger
The possible use of spin and magnets in place of charge and capacitors to store and process information is well known. Magnetic tunnel junctions are being widely investigated and d…