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2020 – today
- 2024
[j4]Pengzhen Lu, Yiheng Ma, Ying Wu, Dengguo Li
, Tian Jin, Zhenjia Li, Yangrui Chen:
Fast evaluation method of post-impact performance of bridges based on dynamic load test data using Gaussian process regression. Eng. Appl. Artif. Intell. 127(Part A): 107194 (2024)- [c7]Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang, Yangrui Chen, Zhi Zhang, Yanghua Peng, Xiang Li, Cong Xie, Shibiao Nong, Yulu Jia, Sun He, Hongmin Chen, Zhihao Bai, Qi Hou, Shipeng Yan, Ding Zhou, Yiyao Sheng, Zhuo Jiang, Haohan Xu, Haoran Wei, Zhang Zhang, Pengfei Nie, Leqi Zou, Sida Zhao, Liang Xiang, Zherui Liu, Zhe Li, Xiaoying Jia, Jianxi Ye, Xin Jin, Xin Liu:
MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs. NSDI 2024: 745-760 - [i4]Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang, Yangrui Chen, Zhi Zhang, Yanghua Peng, Xiang Li, Cong Xie, Shibiao Nong, Yulu Jia, Sun He, Hongmin Chen, Zhihao Bai, Qi Hou, Shipeng Yan, Ding Zhou, Yiyao Sheng, Zhuo Jiang, Haohan Xu, Haoran Wei, Zhang Zhang, Pengfei Nie, Leqi Zou, Sida Zhao, Liang Xiang, Zherui Liu, Zhe Li, Xiaoying Jia, Jianxi Ye, Xin Jin, Xin Liu:
MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs. CoRR abs/2402.15627 (2024) - [i3]Weiqi Feng, Yangrui Chen, Shaoyu Wang, Yanghua Peng, Haibin Lin, Minlan Yu:
Optimus: Accelerating Large-Scale Multi-Modal LLM Training by Bubble Exploitation. CoRR abs/2408.03505 (2024) - 2023
- [j3]Pengzhen Lu, Dengguo Li, Yangrui Chen:
Prediction of the static load test results of bridges based on the dynamic load test and the Kriging model. Artif. Intell. Rev. 56(8): 7613-7632 (2023) - [j2]Yangrui Chen, Jiaxuan You, Jun He, Yuan Lin, Yanghua Peng, Chuan Wu, Yibo Zhu:
SP-GNN: Learning structure and position information from graphs. Neural Networks 161: 505-514 (2023) - [c6]Tianfeng Liu, Yangrui Chen, Dan Li, Chuan Wu, Yibo Zhu, Jun He, Yanghua Peng, Hongzheng Chen, Hongzhi Chen, Chuanxiong Guo:
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing. NSDI 2023: 103-118 - 2022
- [c5]Yangrui Chen, Cong Xie, Meng Ma, Juncheng Gu, Yanghua Peng, Haibin Lin, Chuan Wu, Yibo Zhu:
SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training. NeurIPS 2022 - 2021
- [j1]Yanghua Peng, Yixin Bao, Yangrui Chen, Chuan Wu, Chen Meng, Wei Lin:
DL2: A Deep Learning-Driven Scheduler for Deep Learning Clusters. IEEE Trans. Parallel Distributed Syst. 32(8): 1947-1960 (2021) - [i2]Tianfeng Liu, Yangrui Chen, Dan Li, Chuan Wu, Yibo Zhu, Jun He, Yanghua Peng, Hongzheng Chen, Hongzhi Chen, Chuanxiong Guo:
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing. CoRR abs/2112.08541 (2021) - 2020
- [c4]Yangrui Chen, Yanghua Peng, Yixin Bao, Chuan Wu, Yibo Zhu, Chuanxiong Guo:
Elastic parameter server load distribution in deep learning clusters. SoCC 2020: 507-521 - [c3]Yixin Bao, Yanghua Peng, Yangrui Chen, Chuan Wu:
Preemptive All-reduce Scheduling for Expediting Distributed DNN Training. INFOCOM 2020: 626-635
2010 – 2019
- 2019
- [c2]Yanghua Peng, Yibo Zhu, Yangrui Chen, Yixin Bao, Bairen Yi, Chang Lan, Chuan Wu, Chuanxiong Guo:
A generic communication scheduler for distributed DNN training acceleration. SOSP 2019: 16-29 - [i1]Yanghua Peng, Yixin Bao, Yangrui Chen, Chuan Wu, Chen Meng, Wei Lin:
DL2: A Deep Learning-driven Scheduler for Deep Learning Clusters. CoRR abs/1909.06040 (2019) - 2018
- [c1]Yanghua Peng, Yixin Bao, Yangrui Chen, Chuan Wu, Chuanxiong Guo:
Optimus: an efficient dynamic resource scheduler for deep learning clusters. EuroSys 2018: 3:1-3:14
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