Chunrong Yao

According to our database, Chunrong Yao authored at least 5 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

EALI: Energy-aware layer-level scheduling for convolutional neural network inference services on GPUs.

Chunrong Yao, Wantao Liu, Zhibing Liu, Longchuan Yan, Songlin Hu, Weiqing Tang

Neurocomputing, 2022

EAIS: Energy-aware adaptive scheduling for CNN inference on high-performance GPUs.

Chunrong Yao, Wantao Liu, Weiqing Tang, Songlin Hu

Future Gener. Comput. Syst., 2022

2021

Evaluating and analyzing the energy efficiency of CNN inference on high-performance GPU.

Chunrong Yao, Wantao Liu, Weiqing Tang, Jinrong Guo, Songlin Hu, Yijun Lu, Wei Jiang

Concurr. Comput. Pract. Exp., 2021

2020

Tail: An Automated and Lightweight Gradient Compression Framework for Distributed Deep Learning.

Jinrong Guo, Songlin Hu, Wang Wang, Chunrong Yao, Jizhong Han, Ruixuan Li, Yijun Lu

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

AccUDNN: A GPU Memory Efficient Accelerator for Training Ultra-Deep Neural Networks.

Jinrong Guo, Wantao Liu, Wang Wang, Chunrong Yao, Jizhong Han, Ruixuan Li, Yijun Lu, Songlin Hu

Proceedings of the 37th IEEE International Conference on Computer Design, 2019