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2020 – today
- 2021
[j1]Shaohuai Shi, Xiaowen Chu, Bo Li:
MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning. IEEE Trans. Parallel Distributed Syst. 32(8): 1903-1917 (2021)- [i21]Xin He, Shihao Wang, Xiaowen Chu, Shaohuai Shi, Jiangping Tang, Xin Liu, Chenggang Yan, Jiyong Zhang, Guiguang Ding:
Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans. CoRR abs/2101.05442 (2021) - 2020
- [c17]Yuxin Wang, Qiang Wang, Shaohuai Shi
, Xin He, Zhenheng Tang, Kaiyong Zhao, Xiaowen Chu:
Benchmarking the Performance and Energy Efficiency of AI Accelerators for AI Training. CCGRID 2020: 744-751 - [c16]Shaohuai Shi, Zhenheng Tang, Qiang Wang, Kaiyong Zhao, Xiaowen Chu:
Layer-Wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees. ECAI 2020: 1467-1474 - [c15]Zhenheng Tang, Shaohuai Shi, Xiaowen Chu:
Communication-Efficient Decentralized Learning with Sparsification and Adaptive Peer Selection. ICDCS 2020: 1207-1208 - [c14]Shaohuai Shi, Qiang Wang, Xiaowen Chu:
Efficient Sparse-Dense Matrix-Matrix Multiplication on GPUs Using the Customized Sparse Storage Format. ICPADS 2020: 19-26 - [c13]Qiang Wang, Shaohuai Shi, Shizhen Zheng, Kaiyong Zhao, Xiaowen Chu:
FADNet: A Fast and Accurate Network for Disparity Estimation. ICRA 2020: 101-107 - [c12]Shaohuai Shi, Qiang Wang, Xiaowen Chu, Bo Li, Yang Qin, Ruihao Liu, Xinxiao Zhao:
Communication-Efficient Distributed Deep Learning with Merged Gradient Sparsification on GPUs. INFOCOM 2020: 406-415 - [i20]Zhenheng Tang, Shaohuai Shi, Xiaowen Chu:
Communication-Efficient Decentralized Learning with Sparsification and Adaptive Peer Selection. CoRR abs/2002.09692 (2020) - [i19]Qiang Wang, Shaohuai Shi, Canhui Wang, Xiaowen Chu:
Communication Contention Aware Scheduling of Multiple Deep Learning Training Jobs. CoRR abs/2002.10105 (2020) - [i18]Zhenheng Tang, Shaohuai Shi, Xiaowen Chu, Wei Wang, Bo Li:
Communication-Efficient Distributed Deep Learning: A Comprehensive Survey. CoRR abs/2003.06307 (2020) - [i17]Qiang Wang, Shaohuai Shi, Shizhen Zheng, Kaiyong Zhao, Xiaowen Chu:
FADNet: A Fast and Accurate Network for Disparity Estimation. CoRR abs/2003.10758 (2020) - [i16]Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Chengjian Liu, Wei Wang, Bo Li:
Communication-Efficient Distributed Deep Learning: Survey, Evaluation, and Challenges. CoRR abs/2005.13247 (2020) - [i15]Shaohuai Shi, Qiang Wang, Xiaowen Chu:
Efficient Sparse-Dense Matrix-Matrix Multiplication on GPUs Using the Customized Sparse Storage Format. CoRR abs/2005.14469 (2020) - [i14]Shaohuai Shi, Xianhao Zhou, Shutao Song, Xingyao Wang, Zilin Zhu, Xue Huang, Xinan Jiang, Feihu Zhou, Zhenyu Guo, Liqiang Xie, Rui Lan, Xianbin Ouyang, Yan Zhang, Jieqian Wei, Jing Gong, Weiliang Lin, Ping Gao, Peng Meng, Xiaomin Xu, Chenyang Guo, Bo Yang, Zhibo Chen, Yongjian Wu, Xiaowen Chu:
Towards Scalable Distributed Training of Deep Learning on Public Cloud Clusters. CoRR abs/2010.10458 (2020)
2010 – 2019
- 2019
- [c11]Xin He, Xiaoming Liu, Zhili Wu, Wu Yu, Xiaowen Chu, Shihao Wang, Shaohuai Shi, Zhenheng Tang, Yuxin Wang, Zhihao Zhao, Jing Dai, Ronghao Ni, Xiaofeng Zhang:
Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models. BigData 2019: 4839-4844 - [c10]Shaohuai Shi, Qiang Wang, Kaiyong Zhao, Zhenheng Tang, Yuxin Wang, Xiang Huang, Xiaowen Chu:
A Distributed Synchronous SGD Algorithm with Global Top-k Sparsification for Low Bandwidth Networks. ICDCS 2019: 2238-2247 - [c9]Shaohuai Shi, Kaiyong Zhao, Qiang Wang, Zhenheng Tang, Xiaowen Chu:
A Convergence Analysis of Distributed SGD with Communication-Efficient Gradient Sparsification. IJCAI 2019: 3411-3417 - [c8]Shaohuai Shi, Xiaowen Chu, Bo Li:
MG-WFBP: Efficient Data Communication for Distributed Synchronous SGD Algorithms. INFOCOM 2019: 172-180 - [i13]Shaohuai Shi, Qiang Wang, Kaiyong Zhao, Zhenheng Tang, Yuxin Wang, Xiang Huang, Xiaowen Chu:
A Distributed Synchronous SGD Algorithm with Global Top-k Sparsification for Low Bandwidth Networks. CoRR abs/1901.04359 (2019) - [i12]Xin He, Shihao Wang, Shaohuai Shi, Zhenheng Tang, Yuxin Wang, Zhihao Zhao, Jing Dai, Ronghao Ni, Xiaofeng Zhang, Xiaoming Liu, Zhili Wu, Wu Yu, Xiaowen Chu:
Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models. CoRR abs/1911.08705 (2019) - [i11]Shaohuai Shi, Zhenheng Tang, Qiang Wang, Kaiyong Zhao, Xiaowen Chu:
Layer-wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees. CoRR abs/1911.08727 (2019) - [i10]Shaohuai Shi, Xiaowen Chu, Ka Chun Cheung, Simon See:
Understanding Top-k Sparsification in Distributed Deep Learning. CoRR abs/1911.08772 (2019) - [i9]Shaohuai Shi, Xiaowen Chu, Bo Li:
MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning. CoRR abs/1912.09268 (2019) - 2018
- [c7]Shaohuai Shi, Qiang Wang, Xiaowen Chu:
Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs. DASC/PiCom/DataCom/CyberSciTech 2018: 949-957 - [c6]Shaohuai Shi, Qiang Wang, Xiaowen Chu, Bo Li:
A DAG Model of Synchronous Stochastic Gradient Descent in Distributed Deep Learning. ICPADS 2018: 425-432 - [i8]Shaohuai Shi, Qiang Wang, Xiaowen Chu, Bo Li:
Modeling and Evaluation of Synchronous Stochastic Gradient Descent in Distributed Deep Learning on Multiple GPUs. CoRR abs/1805.03812 (2018) - [i7]Xianyan Jia, Shutao Song, Wei He, Yangzihao Wang, Haidong Rong, Feihu Zhou, Liqiang Xie, Zhenyu Guo, Yuanzhou Yang, Liwei Yu, Tiegang Chen, Guangxiao Hu, Shaohuai Shi, Xiaowen Chu:
Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes. CoRR abs/1807.11205 (2018) - [i6]Shaohuai Shi, Xiaowen Chu:
MG-WFBP: Efficient Data Communication for Distributed Synchronous SGD Algorithms. CoRR abs/1811.11141 (2018) - 2017
- [c5]Pengfei Xu, Shaohuai Shi, Xiaowen Chu:
Performance Evaluation of Deep Learning Tools in Docker Containers. BigCom 2017: 395-403 - [c4]Shaohuai Shi, Pengfei Xu, Xiaowen Chu:
Supervised Learning Based Algorithm Selection for Deep Neural Networks. ICPADS 2017: 344-351 - [i5]Shaohuai Shi, Pengfei Xu, Xiaowen Chu:
Improving the Performance of Fully Connected Neural Networks by Out-of-Place Matrix Transpose. CoRR abs/1702.03192 (2017) - [i4]Shaohuai Shi, Xiaowen Chu:
Speeding up Convolutional Neural Networks By Exploiting the Sparsity of Rectifier Units. CoRR abs/1704.07724 (2017) - [i3]Pengfei Xu, Shaohuai Shi, Xiaowen Chu:
Performance Evaluation of Deep Learning Tools in Docker Containers. CoRR abs/1711.03386 (2017) - [i2]Shaohuai Shi, Xiaowen Chu:
Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs. CoRR abs/1711.05979 (2017) - 2016
- [c3]Shaohuai Shi, Qiang Wang, Pengfei Xu, Xiaowen Chu:
Benchmarking State-of-the-Art Deep Learning Software Tools. CCBD 2016: 99-104 - [i1]Shaohuai Shi, Qiang Wang, Pengfei Xu, Xiaowen Chu:
Benchmarking State-of-the-Art Deep Learning Software Tools. CoRR abs/1608.07249 (2016) - 2011
- [c2]Shuhan Qi, Xuan Wang, Shaohuai Shi:
Mixed Precision Method for GPU-based FFT. CSE 2011: 580-586 - 2010
- [c1]Jiang-Feng Peng, Hu Chen, Shaohuai Shi:
The GPU-based String Matching System in Advanced AC Algorithm. CIT 2010: 1158-1163
Coauthor Index
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