16 citations · 16 across the 1 of their papers we have counts for
4 papers
Reconfigurable Stochastic Neurons Based on Strain Engineered Low Barrier Nanomagnets
Rahnuma Rahman, Samiran Ganguly, Supriyo Bandyopadhyay
Stochastic neurons are efficient hardware accelerators for solving a large variety of combinatorial optimization problems. "Binary" stochastic neurons (BSN) are those whose states…
Reduced sensitivity to process, voltage and temperature variations in activated perpendicular magnetic tunnel junctions based stochastic devices
Md Golam Morshed, Laura Rehm, Ankit Shukla +5
True random number generators (TRNGs) are fundamental building blocks for many applications, such as cryptography, Monte Carlo simulations, neuromorphic computing, and probabilisti…
Choose your tools carefully: A Comparative Evaluation of Deterministic vs. Stochastic and Binary vs. Analog Neuron models for Implementing Emerging Computing Paradigms
Md Golam Morshed, Samiran Ganguly, Avik W. Ghosh
Neuromorphic computing, commonly understood as a computing approach built upon neurons, synapses, and their dynamics, as opposed to Boolean gates, is gaining large mindshare due to…
Evaluating Spintronic Devices Using The Modular Approach
Samiran Ganguly, Kerem Yunus Camsari, Supriyo Datta
Over the past decade a large family of spintronic devices have been proposed as candidates for replacing CMOS for future digital logic circuits. Using the recently developed Modula…