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The Hardware and Algorithm Co-Design for Energy-Efficient DNN Processor on Edge/Mobile Devices

IEEE transactions on circuits and systems. I, Regular papers, 2020-10, Vol.67 (10), p.3458-3470

2020

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Field-free spin-orbit torque switching in ferromagnetic trilayers at sub-ns timescales

Nature communications, 2024-02, Vol.15 (1), p.1814-1814, Article 1814

2024

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Statistical approach based on the Stoner-Wohlfarth model for the switching field in a misoriented magnet array

Physical review applied, 2024-02, Vol.21 (2), Article 024027

2024

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Room temperature chiral magnetoresistance in a chiral-perovskite-based perpendicular spin valve

APL materials, 2024-08, Vol.12 (8), p.081118-081118-8

2024

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Energy-efficient DNN Training Processors on Micro-AI Systems

IEEE open journal of solid-state circuits, 2022, Vol.2, p.1-1

2022

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On-Chip Training NPU - Algorithm, Architecture and SoC Design

1, 2023

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HNPU: An Adaptive DNN Training Processor Utilizing Stochastic Dynamic Fixed-Point and Active Bit-Precision Searching

IEEE journal of solid-state circuits, 2021-09, Vol.56 (9), p.2858-2869

2021

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DF-LNPU: A Pipelined Direct Feedback Alignment-Based Deep Neural Network Learning Processor for Fast Online Learning

IEEE journal of solid-state circuits, 2021-05, Vol.56 (5), p.1630-1640

2021

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A Low-Power Deep Neural Network Online Learning Processor for Real-Time Object Tracking Application

IEEE transactions on circuits and systems. I, Regular papers, 2019-05, Vol.66 (5), p.1794-1804

2019

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An Energy-Efficient Processor for Real-Time Semantic LiDAR SLAM in Mobile Robots

IEEE journal of solid-state circuits, 2024-09, p.1-13

2024

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A Pipelined Point Cloud Based Neural Network Processor for 3-D Vision With Large-Scale Max Pooling Layer Prediction

IEEE journal of solid-state circuits, 2022-02, Vol.57 (2), p.661-670

2022

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An Efficient Deep-Learning-Based Super-Resolution Accelerating SoC With Heterogeneous Accelerating and Hierarchical Cache

IEEE journal of solid-state circuits, 2023-03, Vol.58 (3), p.614-623

2023

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GANPU: An Energy-Efficient Multi-DNN Training Processor for GANs With Speculative Dual-Sparsity Exploitation

IEEE journal of solid-state circuits, 2021-09, Vol.56 (9), p.2845-2857

2021

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DynaPlasia: An eDRAM In-Memory Computing-Based Reconfigurable Spatial Accelerator With Triple-Mode Cell

IEEE journal of solid-state circuits, 2024-01, Vol.59 (1), p.102-115

2024

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NeuGPU: An Energy-Efficient Neural Graphics Processing Unit for Instant Modeling and Real-Time Rendering on Mobile Devices

IEEE journal of solid-state circuits, 2024-09, p.1-13

2024

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C-DNN: An Energy-Efficient Complementary Deep-Neural-Network Processor With Heterogeneous CNN/SNN Core Architecture

IEEE journal of solid-state circuits, 2024-01, Vol.59 (1), p.1-16

2024

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TSUNAMI: Triple Sparsity-Aware Ultra Energy-Efficient Neural Network Training Accelerator With Multi-Modal Iterative Pruning

IEEE transactions on circuits and systems. I, Regular papers, 2022-04, Vol.69 (4), p.1494-1506

2022

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An Energy-Efficient GAN Accelerator With On-Chip Training for Domain-Specific Optimization

IEEE journal of solid-state circuits, 2021-10, Vol.56 (10), p.2968-2980

2021

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7.7 LNPU: A 25.3TFLOPS/W Sparse Deep-Neural-Network Learning Processor with Fine-Grained Mixed Precision of FP8-FP16

2019 IEEE International Solid- State Circuits Conference - (ISSCC), 2019, p.142-144

2019

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COOL-NPU: Complementary Online Learning Neural Processing Unit

IEEE MICRO, 2024-01, Vol.44 (1), p.28-37

2024

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OmniDRL: An Energy-Efficient Deep Reinforcement Learning Processor With Dual-Mode Weight Compression and Sparse Weight Transposer

IEEE journal of solid-state circuits, 2022-04, Vol.57 (4), p.999-1012

2022

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An Overview of Sparsity Exploitation in CNNs for On-Device Intelligence With Software-Hardware Cross-Layer Optimizations

IEEE journal on emerging and selected topics in circuits and systems, 2021-12, Vol.11 (4), p.634-648

2021

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Spintronic Physical Unclonable Functions Based on Field‐Free Spin–Orbit‐Torque Switching

Advanced materials (Weinheim), 2022-11, Vol.34 (45), p.e2203558-n/a

2022

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Highly Reliable Magnetic Memory-Based Physical Unclonable Functions

ACS nano, 2024-05, Vol.18 (20), p.12853-12860

2024

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A 422.1 Mpixels/J Tile-based 4K Super Resolution Processor with Variable Bit Compression

2024 IEEE International Symposium on Circuits and Systems (ISCAS), 2024, p.1-5

2024

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The Hardware and Algorithm Co-Design for Energy-Efficient DNN Processor on Edge/Mobile Devices

Field-free spin-orbit torque switching in ferromagnetic trilayers at sub-ns timescales

Statistical approach based on the Stoner-Wohlfarth model for the switching field in a misoriented magnet array

Room temperature chiral magnetoresistance in a chiral-perovskite-based perpendicular spin valve

Energy-efficient DNN Training Processors on Micro-AI Systems

On-Chip Training NPU - Algorithm, Architecture and SoC Design

HNPU: An Adaptive DNN Training Processor Utilizing Stochastic Dynamic Fixed-Point and Active Bit-Precision Searching

DF-LNPU: A Pipelined Direct Feedback Alignment-Based Deep Neural Network Learning Processor for Fast Online Learning

A Low-Power Deep Neural Network Online Learning Processor for Real-Time Object Tracking Application

An Energy-Efficient Processor for Real-Time Semantic LiDAR SLAM in Mobile Robots

A Pipelined Point Cloud Based Neural Network Processor for 3-D Vision With Large-Scale Max Pooling Layer Prediction

An Efficient Deep-Learning-Based Super-Resolution Accelerating SoC With Heterogeneous Accelerating and Hierarchical Cache

GANPU: An Energy-Efficient Multi-DNN Training Processor for GANs With Speculative Dual-Sparsity Exploitation

DynaPlasia: An eDRAM In-Memory Computing-Based Reconfigurable Spatial Accelerator With Triple-Mode Cell

NeuGPU: An Energy-Efficient Neural Graphics Processing Unit for Instant Modeling and Real-Time Rendering on Mobile Devices

C-DNN: An Energy-Efficient Complementary Deep-Neural-Network Processor With Heterogeneous CNN/SNN Core Architecture

TSUNAMI: Triple Sparsity-Aware Ultra Energy-Efficient Neural Network Training Accelerator With Multi-Modal Iterative Pruning

An Energy-Efficient GAN Accelerator With On-Chip Training for Domain-Specific Optimization

7.7 LNPU: A 25.3TFLOPS/W Sparse Deep-Neural-Network Learning Processor with Fine-Grained Mixed Precision of FP8-FP16

COOL-NPU: Complementary Online Learning Neural Processing Unit

OmniDRL: An Energy-Efficient Deep Reinforcement Learning Processor With Dual-Mode Weight Compression and Sparse Weight Transposer

An Overview of Sparsity Exploitation in CNNs for On-Device Intelligence With Software-Hardware Cross-Layer Optimizations

Spintronic Physical Unclonable Functions Based on Field‐Free Spin–Orbit‐Torque Switching

Highly Reliable Magnetic Memory-Based Physical Unclonable Functions

A 422.1 Mpixels/J Tile-based 4K Super Resolution Processor with Variable Bit Compression

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