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Publications

2020

  • Revisiting Stochastic Computing in the Era of Nanoscale Nonvolatile Technologies
    A. Agrawal, I. Chakraborty, D. Roy, U. Saxena, S. Sharmin, M. Koo, Y. Shim, G. Srinivasan, C. Liyanagedera, A. Sengupta, K. Roy
    IEEE Transactions on Very Large Scale Integration (VLSI) Systems
  • Functional Read Enabling In-Memory Computations in 1Transistor1Resistor Memory Arrays
    A. Jaiswal, R. Andrawis, A. Agrawal, K. Roy
    IEEE Transactions on Circuits and Systems II: Express Briefs, December 2020, pp. 3347 - 3351
  • Circuits and Architectures for In-Memory Computing-Based Machine Learning Accelerators
    A. Ankit, I. Chakraborty, A. Agrawal, M. Ali, K. Roy
    IEEE Micro, Nov-Dec 2020, pp 8-22
  • Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges
    I. Chakraborty, M. Ali, A. Ankit, S. Jain, S. Roy, S. Sridharan, A. Agrawal, A. Raghunathan, K. Roy
    Proceedings of IEEE, December 2020, pp. 2276 - 2310
  • A new oscillator coupling function for improving the solution of graph coloring problem
    R. Andrawis, K. Roy
    Physica D: Nonlinear Phenomena, November 2020
  • Gradual Channel Pruning while Training suing Feature Relevance Scores for Convolutional Neural Networks
    A. Aketi, S. Roy, A. Raghunathan, K. Roy
    IEEE ACCESS, September 2020
  • i-SRAM: Interleaved Wordlines for Vector Boolean Operations Using SRAMs
    A. Jaiswal, A. Agrawal, M. Ali, S. Sharmin, K. Roy
    IEEE Transactions on Circuits and Systems
  • Neural Computing with Magnetoelectric Domain-Wall based Neuro-Synaptic Devices
    A. Agrawal, A. Jaiswal, P. Panda, K. Roy
    IEEE Transactions on Magnetics, 2020, Digital Object Identier
  • sBSNN: Stochastic-Bits Enabled Binary Spiking Neural Network With On-Chip Learning for Energy Efficient Neuromorphic Computing at the Edge
    M. Koo, G. Srinivasan, K. Roy
    IEEE Transactions on Circuits and Systems I: Regular Papers, 2020
  • Biologically Plausible Class Discrimination Based Recurrent Neural Network Training for Motor Pattern Generation
    P. Wijesinghe, C. Liyanagendra, K. Roy
    Frontiers in Neuroscience, 2020
  • Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks with Backward Residual Connections, Stochastic Softmax and Hybridization
    P. Panda, S. Aketi, K. Roy
    Frontiers in Neuroscience, 2020
  • Bayesian Multi-Objective Hyperparameter Optimization for Accurate, Fast, and Efficient Neural Network Accelerator Design
    M. Parsa, J. Mitchell, C. Schuman, R. Patton, T. Potok, K. Roy
    Frontiers in Neuroscience, 14, 667, 2020
  • IMAC: In-Memory Multi-Bit Multiplication and Accumulation in 6T SRAM Array
    M. Ali, A. Jaiswal, S. Kodge, A. Agrawal, I. Chakraborty, K. Roy
    IEEE Transactions on Circuits and Systems I: Regular Papers, 2020
  • PANTHER: A programmable architecture for neural network training harnessing energy-efficient ReRAM
    A. Ankit, I. El Hajj, S. Agarwal, M. Marinella, M. Foltin, J. Strachan, D. S. Milojicic, W. Hwu, K. Roy
    IEEE Transactions on Computer, 2020
  • RxNN: A framework for evaluating deep neural networks on resistive crossbars
    S. Jain, I. Sengupta, K. Roy, A. Raghunathan
    IEEE Transactions on Computer-Aided Design of ICs, 2020
  • Antiferroelectric Tunnel Junctions as Energy-Efficient Coupled Oscillators: Modeling, Analysis, and Application to Solving Combinatorial Optimization Problems
    R. Andrawis, K. Roy
    IEEE Transactions on Electron Devices, Issue 7, Vol. 67, 2020
  • Perovskite Neural Trees
    H. Zhang, T. Park, I. Zaluzhnyy, Q. Wang, S. Wadekar, S. Manna, R. Andrawis, P. Sprau, Y. Sun, Z. Zhang, C. Huang, H. Zhou, Z. Zhang, B. Narayanan, G. Srinivasan, N. Hua, E. Nazaretski, X. Huang, H. Yan, M. Ge, Y. Chu, M. Cherukara, M. Holt, M. Krishnamurthy, O. Shpyrko, S. Sankaranarayanan, A. Frano, K. Roy, S. Ramanathan
    Nature Communications, May 7, 2020
  • Pathways to Efficient Neuromorphic Computing with Non-Volatile Memory Technologies
    I. Chakraborty, A. Jaiswal, A. Saha, S. Gupta, K. Roy
    Applied Physics Reviews, Vol.7, Issue 2
  • Organismic materials for beyond von Neumann machines
    H. Zhang, P. Panda, J. Lin, Y. Kalcheim, K. Wang, J. Freeland, D. Fong, S. Priya, I. Schuller, S. Sankaranarayanan, K. Roy, S. Ramanathan
    Applied Physics Reviews, January 2020
  • Controlled Forgetting: Targeted Stimulation and Dopaminergic Plasticity Modulation for Unsupervised Lifelong Learning in Spiking Neural Networks
    J. Allred, K. Roy
    Frontiers in Neuroscience, January 28, 2020
  • In-Memory Low-Cost Bit-Serial Addition Using Commodity DRAM Technology
    M. Ali, A. Jaiswal, K. Roy
    IEEE Transactions on Circuits and Systems I: Regular Papers, January 2020
  • Constructing Energy-efficient Mixed-precision Neural Networks through Principle Component Analysis for Edge Intelligence
    I. Chakraborty, D. Roy, I. Garg, A. Ankit, K. Roy
    Nature: Machine Intelligence, January 2020

2019

  • In-Situ Unsupervised Learning using Stochastic Switching in Magneto-Electric Magnetic Tunnel Junctions
    I. Chakraborty, A. Agrawal, A. Jaiswal, G. Srinivasan, K. Roy
    Philosophical Transactions of the Royal Society A, December 2019
  • A Low Effort Approach to Structured CNN Design Using PCA
    I. Garg, P. Panda, K. Roy
    IEEE ACCESS, December 2019
  • Neural Network Accelerator Design with Resistive Crossbars: Opportunities and Challenges
    S. Jain, A. Ankit, I. Chakraborty, T. Gokmen, M. Rasch, W. Haensch, K. Roy, A. Raghunathan
    IBM Journal of Research and Development, 10:1-10:13, Nov/Dec. 2019
  • Towards Spike-based Machine Intelligence with Neuromorphic Computing
    K. Roy, A.Jaiswal, P. Panda
    Nature, November 27, 2019
  • Discretization Based Solutions for Secure Machine Learning Against Adversarial Attacks
    P. Panda, I. Chakraborty, K. Roy
    IEEE Access, May 2019
  • Tree-CNN: A hierarchical Deep Convolutional Neural Network for incremental learning
    D. Roy, P. Panda, K. Roy
    Neural Networks, September 2019
  • Dynamic Read Current Sensing with Amplified Bit-line Voltage for STT-MRAMs
    M. Ali, R. Andrawis, K. Roy
    IEEE Transactions on Circuits and Systems II: Express Briefs, 2019
  • Reinforcement Learning with Low-Complexity Liquid State Machines
    W. Ponghiran, G. Srinivasan, K. Roy
    Frontiers in Neuroscience, August 2019
  • Structured Learning for Action Recognition in Videos
    Y. Long, G. Srinivasan, P. Panda, K. Roy
    IEEE Journal on Emerging and Selected Topics in Circuits and Systems, August 2019
  • Pathways to Efficient Neuromorphic Computing with Non-Volatile Technologies
    I. Chakraborty, A. Jaiswal, A. Saha, S. Gupta, K. Roy
    Applied Physics Review, July 2019
  • Perovskite Nickelates as Bio-electronic Interfaces
    H. Zhang, F. Zuo, F. Li, H. Chan, Q. Wu, Z. Zhang, B. Narayanan, K. Ramadoss, I. Chakraborty, G. Saha, G. Kamath, K. Roy, H. Zhou, A. Chubykin, S. Sankaranarayanan, J. Choi, S. Ramanathan
    Nature Communications
  • Fast Switching in CoTb Based Ferrimagnetic Tunnel Junction
    A. Reza, K. Roy
    Journal of Applied Physics
  • Dynamic Read Current Sensing with Amplified Bit-line Voltage for STT-MRAMs
    M. Ali, R. Andrawis, K. Roy
    IEEE Transactions on Circuits and Systems
  • Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays
    A. Agrawal, A. Jaiswal, D. Roy, B. Han, G. Srinivasan, A. Ankit, K. Roy
    IEEE Transactions on Circuits and Systems
  • Powerline Communication for Enhanced Connectivity in Neuromorphic Systems
    A. Ankit, M. Koo, S. Sen, and K. Roy
    IEEE Transactions on VLSI Systems
  • SPARE: Spiking Neural Network Acceleration Using ROM-Embedded RAMs as In-Memory-Computation Primitives
    A. Agrawal, A. Ankit, K. Roy
    IEEE Transactions on Computers
  • Cache Memory Design with magnetic Skyrmions in a Long Nanotrack
    M-C Chen, A. Ranjan, A. Raghunathan, K. Roy
    IEEE Transactions on Magnetics
  • Nonequilibrium Green's Function and First-principles Approach to Modeling of Multiferroic Tunnel Junctions
    R. Andrawis, K. Roy
    Physical Review Applied
  • Exploiting Inherent Error Resiliency of Deep Neural Networks to Achieve Extreme Energy Efficiency Through Mixed-Signal Neurons
    B. Chatterjee, P. Panda, S. Maity, A. Biswas, K. Roy, S. Sen
    IEEE Transactions on Very Large Scale Integration (VLSI) Systems
  • Synthesizing Images from Spatio-Temporal Representations using Spike-based Backpropagation
    D. Roy, P. Panda, K. Roy
    Frontiers in Neuroscience-Neuromorphic Engineering
  • Discretization based Solutions for Secure Machine Learning against Adversarial Attacks
    P. Panda, K. Roy
    IEEE Access, Digital Object Identifier
  • Analysis of Liquid Ensembles for Enhancing the Performance and Accuracy of Liquid State Machines
    P. Wijesinghe, G. Srinivasan, P. Panda, K. Roy
    Frontiers in Neuroscience-Neuromorphic Engineering, May 2019
  • Nonequilibrium Greens Function and First-Principles Approach to Modeling of Multiferroic Tunnel Junctions
    R. Andrawis, K. Roy
    Physical Review Applied 12, no. 1 (2019)
  • Effect of Dzyaloshinskii-Moriya Interaction at Ferrimagnet and Heavy Metal Interface
    A. Reza, K. Roy
    IEEE Transactions on Electron Devices
  • Mimicking Leaky-Integrate-Fire Spiking neuron Using Automotion of Domain Walls for Energy-Efficient Brain-Inspired Computing
    A. Agrawal, K. Roy
    IEEE Transactions on Magnetics
  • Photonic In-memory Computing Primitive for Spiking Neural Networks using Phase-change Materials
    I. Chakraborty, G. Saha, K. Roy
    Physical Review Applied

2018

  • Capacitively Driven Global Interconnect with Magnetoelectric Switching Based Receiver for Higher Energy Efficiency
    Z. Al Azim, A. Jaiswal, I. Chakraborty, K. Roy
    IEEE Magnetics Letters
  • In-situ, In-Memory Stateful Vector Logic Operations based on Voltage Controlled Magnetic Anisotropy
    A. Jaiswal, A. Agrawal, K. Roy
    Scientific reports 8 (1), 5738
  • All-Photonic Phase Change Spiking Neuron: Toward Fast Neural Computing using Light
    I. Chakraborty, G. Saha, A. Sengupta, K. Roy
    arXiv preprint arXiv:1804.00267
  • Biased Random Walk Using Stochastic Switching of Nanomagnets: Application to SAT Solver
    Y. Shim, A. Sengupta, K. Roy
    IEEE Transactions on Electron Devices 65 (4), 1617-1624
  • STDP Based Pruning of Connections and Weight Quantization in Spiking Neural Networks for Energy-Efficient Recognition
    N. Rathi, P. Panda, K. Roy
    IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • ELECTRONIC COMPARISON SYSTEMS
    K. Roy, M. Sharad
    US Patent App. 15/801,535
  • Stochastic Switching of Nanomagnets for Post-CMOS Computing
    A. Sengupta, Y. Shim, K. Roy
    Bulletin of the American Physical Society
  • Multi-resistance states and neural learning with perovskite nickelates
    F. Zuo, P. Panda, K. Roy, S. Ramanathan
    Bulletin of the American Physical Society
  • Proposal for a Low Voltage Analog-to-Digital Converter using Voltage Controlled Stochastic Switching of Low Barrier Nanomagnets
    I. Chakraborty, A. Agrawal, K. Roy
    arXiv preprint arXiv:1803.01431
  • 1T Non-Volatile Memory Design Using Sub-10nm Ferroelectric FETs
    A. Sharma, K. Roy
    IEEE Electron Device Letters 39 (3), 359-362
  • Asp: Learning to forget with adaptive synaptic plasticity in spiking neural networks
    P. Panda, J. M. Allred, S. Ramanathan, K. Roy
    IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 (1 …
  • 8T SRAM cell as a multi-bit dot product engine for beyond von-Neumann computing
    A. Jaiswal, I. Chakraborty, A. Agrawal, K. Roy
    arXiv preprint arXiv:1802.08601
  • Optical Receiver with Helicity Dependent Switching of Magnetization
    Z. A. Azim, T. A. Ostler, C. Xu, K. Roy
    arXiv preprint arXiv:1803.07148
  • Tree-CNN: A Deep Convolutional Neural Network for Lifelong Learning
    D. Roy, P. Panda, K. Roy
    arXiv preprint arXiv:1802.05800
  • Neuromorphic computing enabled by physics of electron spins: Prospects and perspectives
    A. Sengupta, K. Roy
    Applied Physics Express 11 (3), 030101
  • Going Deeper in Spiking Neural Networks: VGG and Residual Architectures
    A. Sengupta, Y. Ye, R. Wang, C. Liu, K. Roy
    arXiv preprint arXiv:1802.02627
  • VLSI Design of an ML-Based Power-Efficient Motion Estimation Controller for Intelligent Mobile Systems
    J. H. Hsieh, H. R. Wang
    IEEE Transactions on Very Large Scale Integration (VLSI) Systems 26 (2), 262-271
  • Designing Energy-Efficient Intermittently Powered Systems Using Spin-Hall-Effect-Based Nonvolatile SRAM
    A. Raha, A. Jaiswal, S. S. Sarwar, H. Jayakumar, V. Raghunathan, K. Roy
    IEEE Transactions on Very Large Scale Integration (VLSI) Systems 26 (2), 294-307
  • Adaptive accelerated aging for 28nm HKMG technology
    D. Patra, A. K. Reza, M. K. Hassan, M. Katoozi, E. H. Cannon, K. Roy, Y. Cao
    Microelectronics Reliability 80, 149-154
  • Development of a Generic and Configurable Fuzzy Logic Systems Library for Real-Time Control Applications using an Object-oriented Approach
    A. Hailemchael, S. Gebreyohannes, A. Karimoddini, K. Roy, A. Homaifar
    2018 Second IEEE International Conference on Robotic Computing (IRC), 159-164
  • STDP-based Unsupervised Feature Learning using Convolution-over-time in Spiking Networks for Energy-Efficient Neuromorphic Computing
    G. Srinivasan, P. Panda, K. Roy
    ACM Journal on Emerging Technologies in Computing Systems
  • X-SRAM: Enabling In-Memory Boolean Computations in CMOS Static Random Access Memories
    A. Agrawal, A. Jaiswal, C. Lee, K. Roy
    IEEE Transactions on Circuits and Systems I: Regular Papers
  • Energy Efficient Neural Computing: A Study of Cross-Layer Approximations
    S. Sarwar, G. Srinivasan, B. Han, P. Wejisinghe, A. Jaiswal, P. Panda, A. Raghunathan, K. Roy
    IEEE Journal on Emerging and Selected Topics in Circuits and Systems
  • Toward Fast Neural Computing using All-Photonic Spiking Neurons
    I. Chakraborty, G. Das, K. Roy
    Scientific Reports 8
  • Encoding Neural and Synaptic Functionalities in Electron Spin: A Path-way to Efficient Neuromorphic Computing
    A. Sengupta, K. Roy
    Applied Physics Reviews
  • Cross-Layer Design Exploration for Energy-Quality Tradeos in Spiking and Non-Spiking Deep Artificial Neural Networks
    B. Han, A. Ankit, A. Sengupta, K. Roy
    IEEE Transactions On Multi-Scale Computing
  • Perspective: Stochastic Magnetic Devices for Cognitive Computing
    K. Roy, A. Sengupta, Y. Shim
    Journal of Applied Physics
  • Design of a low-voltage analog-to-digital converter using voltage-controlled stochastic switching of low barrier nanomagnets
    I. Chakraborty, A. Agrawal, K. Roy
    IEEE Magnetics Letters 9
  • Optical Receiver with Helicity Dependent Magnetization Reversal
    T. Ostler, Z. Azim, C. Xu, K. Roy
    IEEE Transactions on Magnetics
  • An All-Memristor Deep Spiking Neural Computing System: A Step Towards Realizing Low-Power Stochastic Brain
    P. Wejisinghe, A. Sengupta, A. Ankit, K. Roy
    IEEE Transactions on Emerging Topics in Computational Intelligence
  • STDP Based Unsupervised Multimodal Learning with Cross-modal Processing in Spiking Neural Networks
    N. Rathi, K. Roy
    IEEE Transactions on Emerging Topics in Computational Intelligence, October 2018
  • Technology Aware Training in Memristive Neuromorphic Systems for non-ideal Synaptic Crossbars
    I. Chakraborty, D. Roy, K. Roy
    IEEE Transactions on Emerging Topics in Computational Intelligence
  • Image Edge Detection based on Swarm Intelligence using Memristive Networks
    Z. Pajouhi, K. Roy
    IEEE Transactions on Computer-Aided Design of ICs, 2017
  • DeltaFrame-BP: An Algorithm using Frame Difference for Deep Convolutional Neural Network Training and Inference on Video Data
    B. Han, K. Roy
    IEEE Transactions on Multi-Scale Computing Systems
  • Training Deep Spiking Convolutional Neural Networks with STDP-based Unsupervised Pre-training followed by Supervised Fine-tuning
    C. Lee, P. Panda, G. Srinivasan, K. Roy
    Frontiers in Neuroscience, August 2018
  • Magnetic Skyrmion as a Spintronic Deep Learning Spiking Neuron Processor
    M.-C. Chen, A. Sengupta, K. Roy
    IEEE Transactions on Magnetics
  • SOT-MRAM based on Shared Bit-line Structure
    Y. Seo, K. Roy
    IEEE Transactions on VLSI Systems
  • Design and Comparative Analysis of Spintronic Memories based on Current and Voltage driven Switching
    R. Andrawis, A. Jaiswal, K. Roy
    IEEE Transactions on Electron Devices
  • Deep Spiking Convolutional Neural Network Trained with Unsupervised Spike Timing Dependent Plasticity
    C. Lee, G. Srinivasan, P. Panda, K. Roy
    IEEE Transactions on Cognitive and Developmental Systems, May 2018

Kaushik Roy's Google Citations