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Thermally Constrained Codesign of Heterogeneous 3-D Integration of Compute-in-Memory, Digital ML Accelerator, and RISC-V Cores for Mixed ML and Non-ML Workloads

IEEE transactions on very large scale integration (VLSI) systems, 2024-09, Vol.32 (9), p.1718-1725

2024

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Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures

Frontiers in neuroscience, 2020-02, Vol.14, p.119-119

2020

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Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing

IEEE access, 2020, Vol.8, p.4615-4628

2020

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Siracusa: A 16 nm Heterogenous RISC-V SoC for Extended Reality With At-MRAM Neural Engine

IEEE journal of solid-state circuits, 2024-07, Vol.59 (7), p.2055-2069

2024

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Exploring Memory-Oriented Design Optimization of Edge AI Hardware for Extended Reality Applications

IEEE MICRO, 2023-11, Vol.43 (6), p.40-49

2023

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Energy Efficient Neural Computing: A Study of Cross-Layer Approximations

IEEE journal on emerging and selected topics in circuits and systems, 2018-12, Vol.8 (4), p.796-809

2018

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Spin-Torque Sensors for Energy Efficient High-Speed Long Interconnects

IEEE transactions on electron devices, 2016-02, Vol.63 (2), p.800-808

2016

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Siracusa: A Low-Power On-Sensor RISC-V SoC for Extended Reality Visual Processing in 16nm CMOS

ESSCIRC 2023- IEEE 49th European Solid State Circuits Conference (ESSCIRC), 2023, p.217-220

2023

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Memristor-Based Nonvolatile Random Access Memory: Hybrid Architecture for Low Power Compact Memory Design

IEEE access, 2013, Vol.1, p.29-34

2013

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Gabor filter assisted energy efficient fast learning Convolutional Neural Networks

2017 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2017, p.1-6

2017

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Design of power-efficient approximate multipliers for approximate artificial neural networks

2016 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2016, p.1-7

2016

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Energy-Efficient Neural Computing with Approximate Multipliers

ACM journal on emerging technologies in computing systems, 2018-07, Vol.14 (2), p.1-23

2018

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Fully-Binarized Distance Computation based On-device Few-Shot Learning for XR applications

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023, p.4502-4508

2023

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Designing Energy-Efficient Intermittently Powered Systems Using Spin-Hall-Effect-Based Nonvolatile SRAM

IEEE transactions on very large scale integration (VLSI) systems, 2018-02, Vol.26 (2), p.294-307

2018

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Multiplier-less Artificial Neurons exploiting error resiliency for energy-efficient neural computing

2016 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2016, p.145-150

2016

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Estimating Power, Performance, and Area for On-Sensor Deployment of AR/VR Workloads Using an Analytical Framework

ACM transactions on design automation of electronic systems, 2024-11, Vol.29 (6), p.1-27

2024

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Training Deep Spiking Neural Networks for Energy-Efficient Neuromorphic Computing

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, p.8549-8553

2020

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Invited - Cross-layer approximations for neuromorphic computing: From devices to circuits and systems

2016 53nd ACM/EDAC/IEEE Design Automation Conference (DAC), 2016, p.1-6

2016

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System-Level Design and Integration of a Prototype AR/VR Hardware Featuring a Custom Low-Power DNN Accelerator Chip in 7nm Technology for Codec Avatars

2022 IEEE Custom Integrated Circuits Conference (CICC), 2022, p.01-08

2022

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Significance driven hybrid 8T-6T SRAM for energy-efficient synaptic storage in artificial neural networks

2016 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2016, p.151-156

2016

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Exploration of Energy Efficient Hardware and Algorithms for Deep Learning

Sarwar, Syed Shakib

2019

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A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks

2019 International Joint Conference on Neural Networks (IJCNN), 2019, p.1-8

2019

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Intelligent Vision Systems - Bringing Human-Machine Interface to AR/VR

2019 IEEE International Electron Devices Meeting (IEDM), 2019, p.10.5.1-10.5.4

2019

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Thermally Constrained Codesign of Heterogeneous 3-D Integration of Compute-in-Memory, Digital ML Accelerator, and RISC-V Cores for Mixed ML and Non-ML Workloads

Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures

Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing

Siracusa: A 16 nm Heterogenous RISC-V SoC for Extended Reality With At-MRAM Neural Engine

Exploring Memory-Oriented Design Optimization of Edge AI Hardware for Extended Reality Applications

Energy Efficient Neural Computing: A Study of Cross-Layer Approximations

Spin-Torque Sensors for Energy Efficient High-Speed Long Interconnects

Siracusa: A Low-Power On-Sensor RISC-V SoC for Extended Reality Visual Processing in 16nm CMOS

Memristor-Based Nonvolatile Random Access Memory: Hybrid Architecture for Low Power Compact Memory Design

Gabor filter assisted energy efficient fast learning Convolutional Neural Networks

Design of power-efficient approximate multipliers for approximate artificial neural networks

Energy-Efficient Neural Computing with Approximate Multipliers

Fully-Binarized Distance Computation based On-device Few-Shot Learning for XR applications

Designing Energy-Efficient Intermittently Powered Systems Using Spin-Hall-Effect-Based Nonvolatile SRAM

Multiplier-less Artificial Neurons exploiting error resiliency for energy-efficient neural computing

Estimating Power, Performance, and Area for On-Sensor Deployment of AR/VR Workloads Using an Analytical Framework

Training Deep Spiking Neural Networks for Energy-Efficient Neuromorphic Computing

Invited - Cross-layer approximations for neuromorphic computing: From devices to circuits and systems

System-Level Design and Integration of a Prototype AR/VR Hardware Featuring a Custom Low-Power DNN Accelerator Chip in 7nm Technology for Codec Avatars

Significance driven hybrid 8T-6T SRAM for energy-efficient synaptic storage in artificial neural networks

Exploration of Energy Efficient Hardware and Algorithms for Deep Learning

A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks

Intelligent Vision Systems - Bringing Human-Machine Interface to AR/VR

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