Zhuang, Yonghao

Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning

Zheng, L., Li, Z., Zhang, H., Zhuang, Y., Chen, Z., Huang, Y., Wang, Y., Xu, Y., Zhuo, D., Xing, E. P., et al. (2022) · arXiv

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 124

Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow

Mei, Y., Zhuang, Y., Miao, X., Yang, J., Jia, Z., & Vinayak, R. (2025) · Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1

Parallel Computing and Optimization TechniquesCloud Computing and Resource Management

Cited by 35

LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Zheng, L., Chiang, W.-L., Sheng, Y., Li, T., Zhuang, S., Wu, Z., Zhuang, Y., Li, Z., Lin, Z., Xing, E. P., et al. (2023) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 27

LLM360: Towards Fully Transparent Open-Source LLMs

Liu, Z., Qiao, A., Neiswanger, W., Wang, H., Tan, B., Tao, T., Li, J., Wang, Y., Sun, S., Pangarkar, O., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

Official Implementation for "Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow"

Mei, Y., Zhuang, Y., Miao, X., Yang, J., Jia, Z., & Vinayak, R. (2024) · Zenodo

Parallel Computing and Optimization TechniquesCloud Computing and Resource Management

Cited by 0