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20132023
most citedSTT-SNN: A Spin-Transfer-Torque Based Soft-Limiting Non-Linear Neuron for Low-Power Artificial Neural Networks

75 citations · 654 across the 44 of their papers we have counts for

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Showing 2013Show all

6 papers · 1 filter

cond-mat.dis-nn2013

Energy-Efficient and Robust Associative Computing with Electrically Coupled Dual Pillar Spin-Torque Oscillators

Mrigank Sharad, Deliang Fan, Karthik Yogendra +1

Dynamics of coupled spin-torque oscillators can be exploited for non-Boolean information processing. However, the feasibility of coupling large number of STOs with energy-efficienc…

cond-mat.dis-nn2013★ 72 cited

Spin Neurons: A Possible Path to Energy-Efficient Neuromorphic Computers

Mrigank Sharad, D. Fan, Kaushik Roy

Recent years have witnessed growing interest in the field of brain-inspired computing based on neural-network architectures. In order to translate the related algorithmic models in…

cond-mat.dis-nn2013★ 2 cited

Exploring Boolean and Non-Boolean Computing Applications of Spin Torque Devices

Kaushik Roy, Mrigank Sharad, Deliang Fan +1

In this paper we discuss the potential of emerging spintorque devices for computing applications. Recent proposals for spinbased computing schemes may be differentiated as all-spin…

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…

cond-mat.mtrl-sci2013★ 47 cited

Ultra Low Power Associative Computing with Spin Neurons and Resistive Crossbar Memory

Mrigank Sharad, Deliang Fan, Kaushik Roy

Emerging resistive-crossbar memory (RCM) technology can be promising for computationally-expensive analog pattern-matching tasks. However, the use of CMOS analog-circuits with RCM…