Review of magnetic tunnel junctions for stochastic computing
Modern computing schemes require large circuit areas and large energy consumption for
neuromorphic computing applications, such as recognition, classification, and prediction …
neuromorphic computing applications, such as recognition, classification, and prediction …
A Comparison Study of Spin Transfer Torque and Spin-Orbit Torque Based Stochastic Computing Using Computational Random Access Memory (SC-CRAM)
BR Zink, MD Riedel, UR Karpuzcu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Stochastic computing (SC) is a computing method that benefits from high noise resiliency
and can perform complex arithmetic functions with a small number of logic gates, thus …
and can perform complex arithmetic functions with a small number of logic gates, thus …
Measurement-driven Langevin modeling of superparamagnetic tunnel junctions
Superparamagnetic tunnel junctions are important devices for a range of emerging
technologies, but most existing compact models capture only their mean switching rates …
technologies, but most existing compact models capture only their mean switching rates …
In-plane dominant anisotropy stochastic magnetic tunnel junction for probabilistic computing: A Fokker–Planck study
Recently there is considerable interest to realize efficient and low-cost true random number
generators (RNGs) for practical applications. One important way is through the use of …
generators (RNGs) for practical applications. One important way is through the use of …
Stoch-IMC: A bit-parallel stochastic in-memory computing architecture based on STT-MRAM
In-memory computing (IMC) offloads parts of the computations to memory to fulfill the
performance and energy demands of applications such as neuromorphic computing …
performance and energy demands of applications such as neuromorphic computing …