中国科学院计算技术研究所机构知识库

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限定条件	资助项目：National Natural Science Foundation of China[61521092]

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	Why Dataset Properties Bound the Scalability of Parallel Machine Learning Training Algorithms 期刊论文 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2021, 卷号: 32, 期号: 7, 页码: 1702-1712 作者:  Cheng, Daning;  Li, Shigang;  Zhang, Hanping;  Xia, Fen;  Zhang, Yunquan 收藏  |  浏览/下载：35/0  |  提交时间：2021/12/01 Training  Scalability  Machine learning  Machine learning algorithms  Stochastic processes  Task analysis  Upper bound  Parallel training algorithms  training dataset  scalability  stochastic optimization methods
	WP-SGD: Weighted parallel SGD for distributed unbalanced-workload training system 期刊论文 JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2020, 卷号: 145, 页码: 202-216 作者:  Cheng Daning;  Li Shigang;  Zhang Yunquan 收藏  |  浏览/下载：48/0  |  提交时间：2020/12/10 SGD  Unbalanced workload  SimuParallel SGD  Distributed system
	ElasticActor: An Actor System with Automatic Granularity Adjustment 期刊论文 INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING, 2019, 卷号: 47, 期号: 3, 页码: 520-534 作者:  Zhao, Peng;  Liu, Lei;  Cao, Wei;  Dong, Xiao;  Li, Jiansong;  Feng, Xiaobing 收藏  |  浏览/下载：260/0  |  提交时间：2019/08/16 Actor model  Concurrency granularity  Cloud computing  Performance optimization
	Efficient parallel optimizations of a high-performance SIFT on GPUs 期刊论文 JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2019, 卷号: 124, 页码: 78-91 作者:  Li, Zhihao;  Jia, Haipeng;  Zhang, Yunquan;  Liu, Shice;  Li, Shigang;  Wang, Xiao;  Zhang, Hao 收藏  |  浏览/下载：73/0  |  提交时间：2019/04/03 HartSift  SIFT  CPU  High performance  Feature extraction