3 papers
cs.ET2020
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…
cs.ET2020
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…
cs.AR2019
A Range Matching CAM for Hierarchical Defect Tolerance Technique in NRAM Structures
Hossein Pourmeidani, Mehdi Habibi
Due to the small size of nanoscale devices, they are highly prone to process disturbances which results in manufacturing defects. Some of the defects are randomly distributed throu…