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cs.DC2020
Accelerating Deep Learning Inference with Cross-Layer Data Reuse on GPUs
Xueying Wang, Guangli Li, Xiao Dong +3
Accelerating the deep learning inference is very important for real-time applications. In this paper, we propose a novel method to fuse the layers of convolutional neural networks…
cs.DC2018★ 4 cited
Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge
Guangli Li, Lei Liu, Xueying Wang +3
Recently, deep neural networks (DNNs) have been widely applied in mobile intelligent applications. The inference for the DNNs is usually performed in the cloud. However, it leads t…