Zhen Zhang

According to our database, Zhen Zhang authored at least 12 papers between 2020 and 2025.

Collaborative distances:

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

2025

Verifying Semantic Equivalence of Large Models with Equality Saturation.

Kahfi S. Zulkifli, Wenbo Qian, Shaowei Zhu, Yuan Zhou, Zhen Zhang, Chang Lou

Proceedings of the 5th Workshop on Machine Learning and Systems, 2025

2024

DistMind: Efficient Resource Disaggregation for Deep Learning Workloads.

Xin Jin, Zhihao Bai, Zhen Zhang, Yibo Zhu, Yinmin Zhong, Xuanzhe Liu

IEEE/ACM Trans. Netw., June, 2024

SDCC: software-defined collective communication for distributed training.

Xin Jin, Zhen Zhang, Yunshan Jia, Yun Ma, Xuanzhe Liu

Sci. China Inf. Sci., 2024

DISTMM: Accelerating Distributed Multimodal Model Training.

Jun Huang, Zhen Zhang, Shuai Zheng, Feng Qin, Yida Wang

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

Distributed Training of Large Language Models on AWS Trainium.

Xinwei Fu, Zhen Zhang, Haozheng Fan, Guangtai Huang, Mohammad El-Shabani, Randy Huang, Rahul Solanki, Fei Wu, Ron Diamant, Yida Wang

Proceedings of the 2024 ACM Symposium on Cloud Computing, 2024

Slapo: A Schedule Language for Progressive Optimization of Large Deep Learning Model Training.

Hongzheng Chen, Cody Hao Yu, Shuai Zheng, Zhen Zhang, Zhiru Zhang, Yida Wang

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Decoupled Model Schedule for Deep Learning Training.

Hongzheng Chen, Cody Hao Yu, Shuai Zheng, Zhen Zhang, Zhiru Zhang, Yida Wang

CoRR, 2023

GEMINI: Fast Failure Recovery in Distributed Training with In-Memory Checkpoints.

Zhuang Wang, Zhen Jia, Shuai Zheng, Zhen Zhang, Xinwei Fu, T. S. Eugene Ng, Yida Wang

Proceedings of the 29th Symposium on Operating Systems Principles, 2023

Oobleck: Resilient Distributed Training of Large Models Using Pipeline Templates.

Insu Jang, Zhenning Yang, Zhen Zhang, Xin Jin, Mosharaf Chowdhury

Proceedings of the 29th Symposium on Operating Systems Principles, 2023

2022

MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud.

Zhen Zhang, Shuai Zheng, Yida Wang, Justin Chiu, George Karypis, Trishul Chilimbi, Mu Li, Xin Jin

Proc. VLDB Endow., 2022

2020

Is Network the Bottleneck of Distributed Training?

Zhen Zhang, Chaokun Chang, Haibin Lin, Yida Wang, Raman Arora, Xin Jin

Proceedings of the 2020 Workshop on Network Meets AI & ML, 2020

PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications.

Zhihao Bai, Zhen Zhang, Yibo Zhu, Xin Jin

Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020