Diandian Gu

According to our database, Diandian Gu authored at least 9 papers between 2019 and 2024.

Collaborative distances:

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

2024

LoongTrain: Efficient Training of Long-Sequence LLMs with Head-Context Parallelism.

Diandian Gu, Peng Sun, Qinghao Hu, Ting Huang, Xun Chen, Yingtong Xiong, Guoteng Wang, Qiaoling Chen, Shangchun Zhao, Jiarui Fang, Yonggang Wen, Tianwei Zhang, Xin Jin, Xuanzhe Liu

CoRR, 2024

InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding.

Qiaoling Chen, Diandian Gu, Guoteng Wang, Xun Chen, YingTong Xiong, Ting Huang, Qinghao Hu, Xin Jin, Yonggang Wen, Tianwei Zhang, Peng Sun

CoRR, 2024

2023

Rise of Distributed Deep Learning Training in the Big Model Era: From a Software Engineering Perspective.

Xuanzhe Liu, Diandian Gu, Zhenpeng Chen, Jinfeng Wen, Zili Zhang, Yun Ma, Haoyu Wang, Xin Jin

ACM Trans. Softw. Eng. Methodol., November, 2023

Energy-Efficient GPU Clusters Scheduling for Deep Learning.

Diandian Gu, Xintong Xie, Gang Huang, Xin Jin, Xuanzhe Liu

CoRR, 2023

ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning.

Diandian Gu, Yihao Zhao, Yinmin Zhong, Yifan Xiong, Zhenhua Han, Peng Cheng, Fan Yang, Gang Huang, Xin Jin, Xuanzhe Liu

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

PROMAL: Precise Window Transition Graphs for Android via Synergy of Program Analysis and Machine Learning.

Changlin Liu, Hanlin Wang, Tianming Liu, Diandian Gu, Yun Ma, Haoyu Wang, Xusheng Xiao

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

Demystifying Developers' Issues in Distributed Training of Deep Learning Software.

Diandian Gu, Zhenpeng Chen, Yuanqiang Liu, Zili Zhang, Yun Ma, Xin Jin, Xuanzhe Liu

CoRR, 2021

2020

Roaming Through the Castle Tunnels: An Empirical Analysis of Inter-app Navigation of Android Apps.

Yun Ma, Ziniu Hu, Diandian Gu, Li Zhou, Qiaozhu Mei, Gang Huang, Xuanzhe Liu

ACM Trans. Web, 2020

2019

LinkRadar: Assisting the Analysis of Inter-app Page Links via Transfer Learning.

Diandian Gu, Ziniu Hu, Shangchen Du, Yun Ma

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019