Zobrazeno 1 - 10
of 749
pro vyhledávání: '"Chen Yawen"'
All-gather collective communication is one of the most important communication primitives in parallel and distributed computation, which plays an essential role in many HPC applications such as distributed Deep Learning (DL) with model and hybrid par
Externí odkaz:
http://arxiv.org/abs/2211.15119
Autor:
Du, Yadan1,2 (AUTHOR), Chen, Yawen1,2 (AUTHOR), Yan, Zaihua3 (AUTHOR), Yang, Jian2 (AUTHOR), Da, Mingxu1,2 (AUTHOR) ldyy_damx@lzu.edu.cn
Publikováno v:
Scientific Reports. 9/18/2024, Vol. 14 Issue 1, p1-15. 15p.
Autor:
Liu, Xiangxiang1 (AUTHOR) liuxx604@nenu.edu.cn, Chen, Yawen2 (AUTHOR) chenyw017@nenu.edu.cn, Li, Yang2 (AUTHOR) liy234@nenu.edu.cn, Shen, Ying1 (AUTHOR) 18302490298@163.com, Dong, Shasha1 (AUTHOR) dongss@nenu.edu.cn, Tan, Jiang1 (AUTHOR) tanj479@nenu.edu.cn
Publikováno v:
International Journal of Molecular Sciences. Jul2024, Vol. 25 Issue 13, p7234. 13p.
Communication efficiency plays an important role in accelerating the distributed training of Deep Neural Networks (DNN). All-reduce is the crucial communication primitive to reduce model parameters in distributed DNN training. Most existing all-reduc
Externí odkaz:
http://arxiv.org/abs/2207.10982
Autor:
Li, Danyang, Li, Yongqi, Liao, Dagui, Cao, Mengqing, Zhang, Lulu, Zhang, Shasha, Chen, Ling, Chen, Yawen, Wang, Huan, Qi, Jian, You, Feifei
Publikováno v:
In Progress in Natural Science: Materials International August 2024 34(4):767-775
Publikováno v:
In Science of the Total Environment 20 July 2024 935
Autor:
Zhao, Lei, Chen, Yawen, Wei, Qinglin, Lv, Xinyi, Cui, Ying, Wang, Wenjun, Mou, Xiaozhou, Song, Xuejiao, Dong, Xiaochen, Cai, Yu
Publikováno v:
In Chemical Engineering Journal 15 July 2024 492
Autor:
Zang, Wenke, Che, Jing, Ma, Linlin, Liu, Xincheng, Song, Aoyu, Xiong, Jingwen, Zhao, Yuzhen, Liu, Xiyu, Chen, Yawen, Li, Hui
Publikováno v:
In Information Sciences October 2024 681
Fully Connected Neural Network (FCNN) is a class of Artificial Neural Networks widely used in computer science and engineering, whereas the training process can take a long time with large datasets in existing many-core systems. Optical Network-on-Ch
Externí odkaz:
http://arxiv.org/abs/2109.14878
Publikováno v:
In Food Bioscience June 2024 59