research
∙
09/19/2022
Rapid Recovery of Program Execution Under Power Failures for Embedded Systems with NVM
After power is switched on, recovering the interrupted program from the ...
share
research
∙
11/12/2021
BSC: Block-based Stochastic Computing to Enable Accurate and Efficient TinyML
Along with the progress of AI democratization, machine learning (ML) has...
research
∙
10/19/2021
Accelerating Framework of Transformer by Hardware Design and Model Compression Co-Optimization
State-of-the-art Transformer-based models, with gigantic parameters, are...
research
∙
02/12/2021
Dancing along Battery: Enabling Transformer with Run-time Reconfigurability on Mobile Devices
A pruning-based AutoML framework for run-time reconfigurability, namely ...
research
∙
07/21/2019
Achieving Super-Linear Speedup across Multi-FPGA for Real-Time DNN Inference
Real-time Deep Neural Network (DNN) inference with low-latency requireme...
research
∙
07/06/2019
Hardware/Software Co-Exploration of Neural Architectures
We propose a novel hardware and software co-exploration framework for ef...
research
∙
01/31/2019