45 citations · 102 across the 11 of their papers we have counts for
7 papers · 1 filter
Adaptive Non-Uniform Compressive Sensing using SOT-MRAM Multibit Crossbar Arrays
Soheil Salehi, Ronald F. DeMara
A Compressive Sensing (CS) approach is applied to utilize intrinsic computation capabilities of Spin-Orbit Torque Magnetic Random Access Memory (SOT-MRAM) devices for IoT applicati…
A novel compound synapse using probabilistic spin-orbit-torque switching for MTJ based deep neural networks
Vaibhav Ostwal, Ramtin Zand, Ronald DeMara +1
Analog electronic non-volatile memories mimicking synaptic operations are being explored for the implementation of neuromorphic computing systems. Compound synapses consisting of e…
IRC: Cross-layer design exploration of Intermittent Robust Computation units for IoTs
Arman Roohi, Ronald F DeMara
Energy-harvesting-powered computing offers intriguing and vast opportunities to dramatically transform the landscape of the Internet of Things (IoT) devices by utilizing ambient so…
Processing-In-Memory Acceleration of Convolutional Neural Networks for Energy-Efficiency, and Power-Intermittency Resilience
Arman Roohi, Shaahin Angizi, Deliang Fan +1
Herein, a bit-wise Convolutional Neural Network (CNN) in-memory accelerator is implemented using Spin-Orbit Torque Magnetic Random Access Memory (SOT-MRAM) computational sub-arrays…
Clockless Spin-based Look-Up Tables with Wide Read Margin
Soheil Salehi, Ramtin Zand, Ronald F. DeMara
In this paper, we develop a 6-input fracturable non-volatile Clockless LUT (C-LUT) using spin Hall effect (SHE)-based Magnetic Tunnel Junctions (MTJs) and provide a detailed compar…
AQuRate: MRAM-based Stochastic Oscillator for Adaptive Quantization Rate Sampling of Sparse Signals
Soheil Salehi, Ramtin Zand, Alireza Zaeemzadeh +2
Recently, the promising aspects of compressive sensing have inspired new circuit-level approaches for their efficient realization within the literature. However, most of these rece…
SNRA: A Spintronic Neuromorphic Reconfigurable Array for In-Circuit Training and Evaluation of Deep Belief Networks
Ramtin Zand, Ronald F. DeMara
In this paper, a spintronic neuromorphic reconfigurable Array (SNRA) is developed to fuse together power-efficient probabilistic and in-field programmable deterministic computing d…