research
∙
09/19/2023
GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models
The remarkable capabilities and intricate nature of Artificial Intellige...
share
research
∙
10/18/2022
ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design
Vision Transformers (ViTs) have achieved state-of-the-art performance on...
research
∙
07/24/2022
e-G2C: A 0.14-to-8.31 μJ/Inference NN-based Processor with Continuous On-chip Adaptation for Anomaly Detection and ECG Conversion from EGM
This work presents the first silicon-validated dedicated EGM-to-ECG (G2C...
research
∙
06/15/2022
i-FlatCam: A 253 FPS, 91.49 μJ/Frame Ultra-Compact Intelligent Lensless Camera for Real-Time and Efficient Eye Tracking in VR/AR
We present a first-of-its-kind ultra-compact intelligent camera system, ...
research
∙
06/02/2022
EyeCoD: Eye Tracking System Acceleration via FlatCam-based Algorithm Accelerator Co-Design
Eye tracking has become an essential human-machine interaction modality ...
research
∙
03/07/2022
I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization
Graph Convolutional Networks (GCNs) have drawn tremendous attention in t...
research
∙
12/22/2021
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
Graph Convolutional Networks (GCNs) have emerged as the state-of-the-art...
research
∙
11/04/2021
RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms
There exists a gap in terms of the signals provided by pacemakers (i.e.,...
research
∙
09/18/2021
G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency
Graph Neural Networks (GNNs) have emerged as the state-of-the-art (SOTA)...
research
∙
08/17/2021
O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed
The recent breakthroughs and prohibitive complexities of Deep Neural Net...
research
∙
06/11/2021
A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning
Driven by the explosive interest in applying deep reinforcement learning...
research
∙
06/11/2021
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators
While maximizing deep neural networks' (DNNs') acceleration efficiency r...
research
∙
04/22/2021
InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks
The promise of Deep Neural Network (DNN) powered Internet of Thing (IoT)...
research
∙
03/19/2021
HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark
HardWare-aware Neural Architecture Search (HW-NAS) has recently gained t...
research
∙
12/24/2020
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
AlphaGo's astonishing performance has ignited an explosive interest in d...
research
∙
10/28/2020
DNA: Differentiable Network-Accelerator Co-Search
Powerful yet complex deep neural networks (DNNs) have fueled a booming d...
research
∙
10/24/2020
ShiftAddNet: A Hardware-Inspired Deep Network
Multiplication (e.g., convolution) is arguably a cornerstone of modern d...
research
∙
02/26/2020
DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures
The recent breakthroughs in deep neural networks (DNNs) have spurred a t...
research
∙
01/06/2020