Yinmin Zhong

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 11

Top Topics

Translation Model

Query Expansion

Top Venues

IEEE/ACM Trans. Netw.

Publications

Xin Jin, Zhihao Bai, Zhen Zhang, Yibo Zhu, Yinmin Zhong, Xuanzhe Liu
DistMind: Efficient Resource Disaggregation for Deep Learning Workloads. IEEE/ACM Trans. Netw. 32 (3) (2024)
Li-Wen Chang, Wenlei Bao, Qi Hou, Chengquan Jiang, Ningxin Zheng, Yinmin Zhong, Xuanrun Zhang, Zuquan Song, Ziheng Jiang, Haibin Lin, Xin Jin, Xin Liu
FLUX: Fast Software-based Communication Overlap On GPUs Through Kernel Fusion. CoRR (2024)
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)
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 (2024)
Yinmin Zhong, Shengyu Liu, Junda Chen, Jianbo Hu, Yibo Zhu, Xuanzhe Liu, Xin Jin, Hao Zhang
DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving. OSDI (2024)
Bingyang Wu, Shengyu Liu, Yinmin Zhong, Peng Sun, Xuanzhe Liu, Xin Jin
LoongServe: Efficiently Serving Long-context Large Language Models with Elastic Sequence Parallelism. CoRR (2024)
Yinmin Zhong, Shengyu Liu, Junda Chen, Jianbo Hu, Yibo Zhu, Xuanzhe Liu, Xin Jin, Hao Zhang
DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving. CoRR (2024)
Zhuohan Li, Lianmin Zheng, Yinmin Zhong, Vincent Liu, Ying Sheng, Xin Jin, Yanping Huang, Zhifeng Chen, Hao Zhang, Joseph E. Gonzalez, Ion Stoica
AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving. OSDI (2023)
Diandian Gu, Yihao Zhao, Yinmin Zhong, Yifan Xiong, Zhenhua Han, Peng Cheng, Fan Yang, Gang Huang, Xin Jin, Xuanzhe Liu
ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning. ASPLOS (2) (2023)
Zhuohan Li, Lianmin Zheng, Yinmin Zhong, Vincent Liu, Ying Sheng, Xin Jin, Yanping Huang, Zhifeng Chen, Hao Zhang, Joseph E. Gonzalez, Ion Stoica
AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving. CoRR (2023)
Bingyang Wu, Yinmin Zhong, Zili Zhang, Gang Huang, Xuanzhe Liu, Xin Jin
Fast Distributed Inference Serving for Large Language Models. CoRR (2023)