research
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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 ...
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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...
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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...
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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 ...
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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...
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07/06/2019
Hardware/Software Co-Exploration of Neural Architectures
We propose a novel hardware and software co-exploration framework for ef...
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01/31/2019
