39 citations · 60 across the 8 of their papers we have counts for
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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…
cs.DC2019★ 2 cited
Communication Lower Bound in Convolution Accelerators
Xiaoming Chen, Yinhe Han, Yu Wang
In current convolutional neural network (CNN) accelerators, communication (i.e., memory access) dominates the energy consumption. This work provides comprehensive analysis and meth…