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20122024
most citedSpin-Based Neuron Model with Domain Wall Magnets as Synapse

200 citations · 551 across the 24 of their papers we have counts for

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Showing cs.ETShow all

8 papers · 1 filter

cs.ET2024

Approximate ADCs for In-Memory Computing

Arkapravo Ghosh, Hemkar Reddy Sadana, Mukut Debnath +5

In memory computing (IMC) architectures for deep learning (DL) accelerators leverage energy-efficient and highly parallel matrix vector multiplication (MVM) operations, implemented…

cs.ET2019

Current Mode Neuron for the Memristor based synapse

Harshit Roy, Mrigank Sharad

Due to many limitations of Von Neumann architecture such as speed, memory bandwidth, efficiency of global interconnects and increase in the application of artificial neural network…

cs.ET2015★ 3 cited

Energy Efficient and High Performance Current-Mode Neural Network Circuit using Memristors and Digitally Assisted Analog CMOS Neurons

Aranya Goswamy, Sagar Kumashi, Vikash Sehwag +4

Emerging nano-scale programmable Resistive-RAM (RRAM) has been identified as a promising technology for implementing brain-inspired computing hardware. Several neural network archi…

cs.ET2015★ 1 cited

High Sensitivity Biosensor using Injection Locked Spin Torque Nano-Oscillators

Tathagata Srimani, Bibhas Manna, Anand Kumar Mukhopadhyay +2

With ever increasing research on magnetic nano systems it is shown to have great potential in the areas of magnetic storage, biosensing, magnetoresistive insulation etc. In the fie…

cs.ET2014★ 67 cited

Hierarchical Temporal Memory Based on Spin-Neurons and Resistive Memory for Energy-Efficient Brain-Inspired Computing

Deliang Fan, Mrigank Sharad, Abhronil Sengupta +1

Hierarchical temporal memory (HTM) tries to mimic the computing in cerebral-neocortex. It identifies spatial and temporal patterns in the input for making inferences. This may requ…

cs.ET2014★ 49 cited

Design and Synthesis of Ultra Low Energy Spin-Memristor Threshold Logic

Deliang Fan, Mrigank Sharad, Kaushik Roy

A threshold logic gate (TLG) performs weighted sum of multiple inputs and compares the sum with a threshold. We propose Spin-Memeristor Threshold Logic (SMTL) gates, which employ m…

cs.ET2013★ 5 cited

Ultra-low Energy, High-Performance Dynamic Resistive Threshold Logic

Mrigank Sharad, Deliang Fan, Kaushik Roy

We propose dynamic resistive threshold-logic (DRTL) design based on non-volatile resistive memory. A threshold logic gate (TLG) performs summation of multiple inputs multiplied by…

cs.ET2013★ 6 cited

Ultra-low Energy, High Performance and Programmable Magnetic Threshold Logic

Mrigank Sharad, Deliang Fan, Kaushik Roy

We propose magnetic threshold-logic (MTL) design based on non-volatile spin-torque switches. A threshold logic gate (TLG) performs summation of multiple inputs multiplied by a fixe…