2 papers
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…
eess.SP2020
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…