Yangrui Chen

According to our database, Yangrui Chen authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fast evaluation method of post-impact performance of bridges based on dynamic load test data using Gaussian process regression.

Pengzhen Lu, Yiheng Ma, Ying Wu, Dengguo Li, Tian Jin, Zhenjia Li, Yangrui Chen

Eng. Appl. Artif. Intell., January, 2024

Optimus: Accelerating Large-Scale Multi-Modal LLM Training by Bubble Exploitation.

Weiqi Feng, Yangrui Chen, Shaoyu Wang, Yanghua Peng, Haibin Lin, Minlan Yu

CoRR, 2024

MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs.

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

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

2023

SP-GNN: Learning structure and position information from graphs.

Yangrui Chen, Jiaxuan You, Jun He, Yuan Lin, Yanghua Peng, Chuan Wu, Yibo Zhu

Neural Networks, April, 2023

Prediction of the static load test results of bridges based on the dynamic load test and the Kriging model.

Pengzhen Lu, Dengguo Li, Yangrui Chen

Artif. Intell. Rev., 2023

BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing.

Tianfeng Liu, Yangrui Chen, Dan Li, Chuan Wu, Yibo Zhu, Jun He, Yanghua Peng, Hongzheng Chen, Hongzhi Chen, Chuanxiong Guo

Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

2022

SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training.

Yangrui Chen, Cong Xie, Meng Ma, Juncheng Gu, Yanghua Peng, Haibin Lin, Chuan Wu, Yibo Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

DL2: A Deep Learning-Driven Scheduler for Deep Learning Clusters.

Yanghua Peng, Yixin Bao, Yangrui Chen, Chuan Wu, Chen Meng, Wei Lin

IEEE Trans. Parallel Distributed Syst., 2021

2020

Preemptive All-reduce Scheduling for Expediting Distributed DNN Training.

Yixin Bao, Yanghua Peng, Yangrui Chen, Chuan Wu

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Elastic parameter server load distribution in deep learning clusters.

Yangrui Chen, Yanghua Peng, Yixin Bao, Chuan Wu, Yibo Zhu, Chuanxiong Guo

Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020

2019

A generic communication scheduler for distributed DNN training acceleration.

Yanghua Peng, Yibo Zhu, Yangrui Chen, Yixin Bao, Bairen Yi, Chang Lan, Chuan Wu, Chuanxiong Guo

Proceedings of the 27th ACM Symposium on Operating Systems Principles, 2019

2018

Optimus: an efficient dynamic resource scheduler for deep learning clusters.

Yanghua Peng, Yixin Bao, Yangrui Chen, Chuan Wu, Chuanxiong Guo

Proceedings of the Thirteenth EuroSys Conference, 2018