203 citations · 1.3k across the 57 of their papers we have counts for
5 papers · 2 filters
Spin-Torque Sensors for Energy Efficient High Speed Long Interconnects
Zubair Al Azim, Abhronil Sengupta, Syed Shakib Sarwar +1
In this paper, we propose a Spin-Torque (ST) based sensing scheme that can enable energy efficient multi-bit long distance interconnect architectures. Current-mode interconnects ha…
Short-Term Plasticity and Long-Term Potentiation in Magnetic Tunnel Junctions: Towards Volatile Synapses
Abhronil Sengupta, Kaushik Roy
Synaptic memory is considered to be the main element responsible for learning and cognition in humans. Although traditionally non-volatile long-term plasticity changes have been im…
Proposal for an All-Spin Artificial Neural Network: Emulating Neural and Synaptic Functionalities Through Domain Wall Motion in Ferromagnets
Abhronil Sengupta, Yong Shim, Kaushik Roy
Non-Boolean computing based on emerging post-CMOS technologies can potentially pave the way for low-power neural computing platforms. However, existing work on such emerging neurom…
Magnetic Tunnel Junction Mimics Stochastic Cortical Spiking Neurons
Abhronil Sengupta, Priyadarshini Panda, Parami Wijesinghe +2
Brain-inspired computing architectures attempt to mimic the computations performed in the neurons and the synapses in the human brain in order to achieve its efficiency in learning…
Hybrid Spintronic-CMOS Spiking Neural Network With On-Chip Learning: Devices, Circuits and Systems
Abhronil Sengupta, Aparajita Banerjee, Kaushik Roy
Over the past decade Spiking Neural Networks (SNN) have emerged as one of the popular architectures to emulate the brain. In SNN, information is temporally encoded and communicatio…