most citedA GPU-Outperforming FPGA Accelerator Architecture for Binary Convolutional Neural Networks

5 citations · 5 across the 1 of their papers we have counts for

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1 paper

cs.DC2017★ 5 cited

A GPU-Outperforming FPGA Accelerator Architecture for Binary Convolutional Neural Networks

Yixing Li, Zichuan Liu, Kai Xu +2

FPGA-based hardware accelerators for convolutional neural networks (CNNs) have obtained great attentions due to their higher energy efficiency than GPUs. However, it is challenging…