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05/02/2020
Electrically-Tunable Stochasticity for Spin-based Neuromorphic Circuits: Self-Adjusting to Variation
Energy-efficient methods are addressed for leveraging low energy barrier...
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02/03/2020
Modular Simulation Framework for Process Variation Analysis of MRAM-based Deep Belief Networks
Magnetic Random-Access Memory (MRAM) based p-bit neuromorphic computing ...
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04/23/2019
IRC: Cross-layer design exploration of Intermittent Robust Computation units for IoTs
Energy-harvesting-powered computing offers intriguing and vast opportuni...
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04/16/2019
Processing-In-Memory Acceleration of Convolutional Neural Networks for Energy-Efficiency, and Power-Intermittency Resilience
Herein, a bit-wise Convolutional Neural Network (CNN) in-memory accelera...
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01/08/2019
SNRA: A Spintronic Neuromorphic Reconfigurable Array for In-Circuit Training and Evaluation of Deep Belief Networks
In this paper, a spintronic neuromorphic reconfigurable Array (SNRA) is ...
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11/28/2018
Composable Probabilistic Inference Networks Using MRAM-based Stochastic Neurons
Magnetoresistive random access memory (MRAM) technologies with thermally...
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07/27/2016