2 citations · 2 across the 8 of their papers we have counts for
10 papers
Electrically-Tunable Stochasticity for Spin-based Neuromorphic Circuits: Self-Adjusting to Variation
Hossein Pourmeidani, Punyashloka Debashis, Zhihong Chen +2
Energy-efficient methods are addressed for leveraging low energy barrier nanomagnetic devices within neuromorphic architectures. Using a Magnetoresistive Random Access Memory (MRAM…
Modular Simulation Framework for Process Variation Analysis of MRAM-based Deep Belief Networks
Paul Wood, Hossein Pourmeidani, Ronald F. DeMara
Magnetic Random-Access Memory (MRAM) based p-bit neuromorphic computing devices are garnering increasing interest as a means to compactly and efficiently realize machine learning o…
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…