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Chunrong Yao
ORCID
Publication Activity (10 Years)
Years Active: 2019-2022
Publications (10 Years): 5
Top Topics
Deep Learning
Iterative Deepening
Memory Efficient
Backpropagation Algorithm
Top Venues
Future Gener. Comput. Syst.
ICCD
Concurr. Comput. Pract. Exp.
DAC
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Publications
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Chunrong Yao
,
Wantao Liu
,
Zhibing Liu
,
Longchuan Yan
,
Songlin Hu
,
Weiqing Tang
EALI: Energy-aware layer-level scheduling for convolutional neural network inference services on GPUs.
Neurocomputing
507 (2022)
Chunrong Yao
,
Wantao Liu
,
Weiqing Tang
,
Songlin Hu
EAIS: Energy-aware adaptive scheduling for CNN inference on high-performance GPUs.
Future Gener. Comput. Syst.
130 (2022)
Chunrong Yao
,
Wantao Liu
,
Weiqing Tang
,
Jinrong Guo
,
Songlin Hu
,
Yijun Lu
,
Wei Jiang
Evaluating and analyzing the energy efficiency of CNN inference on high-performance GPU.
Concurr. Comput. Pract. Exp.
33 (6) (2021)
Jinrong Guo
,
Songlin Hu
,
Wang Wang
,
Chunrong Yao
,
Jizhong Han
,
Ruixuan Li
,
Yijun Lu
Tail: An Automated and Lightweight Gradient Compression Framework for Distributed Deep Learning.
DAC
(2020)
Jinrong Guo
,
Wantao Liu
,
Wang Wang
,
Chunrong Yao
,
Jizhong Han
,
Ruixuan Li
,
Yijun Lu
,
Songlin Hu
AccUDNN: A GPU Memory Efficient Accelerator for Training Ultra-Deep Neural Networks.
ICCD
(2019)