papers
Publications (2)
eess.SP2021
FTT-NAS: Discovering Fault-Tolerant Convolutional Neural Architecture
Xuefei Ning, Guangjun Ge, Wenshuo Li +6
With the fast evolvement of embedded deep-learning computing systems, applications powered by deep learning are moving from the cloud to the edge. When deploying neural networks (N…
cs.DC2020
Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud
Shulin Zeng, Guohao Dai, Hanbo Sun +5
FPGAs have shown great potential in providing low-latency and energy-efficient solutions for deep neural network (DNN) inference applications. Currently, the majority of FPGA-based…