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2020 – today
- 2024
[j1]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): 2422-2437 (2024)- [c5]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: 745-760 - [c4]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: 193-210 - [c3]Bingyang Wu, Shengyu Liu, Yinmin Zhong, Peng Sun, Xuanzhe Liu, Xin Jin:
LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism. SOSP 2024: 640-654 - [i8]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 abs/2401.09670 (2024) - [i7]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 abs/2402.15627 (2024) - [i6]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 abs/2404.09526 (2024) - [i5]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 abs/2406.06858 (2024) - [i4]Zili Zhang, Yinmin Zhong, Ranchen Ming, Hanpeng Hu, Jianjian Sun, Zheng Ge, Yibo Zhu, Xin Jin:
DistTrain: Addressing Model and Data Heterogeneity with Disaggregated Training for Multimodal Large Language Models. CoRR abs/2408.04275 (2024) - [i3]Yinmin Zhong, Zili Zhang, Bingyang Wu, Shengyu Liu, Yukun Chen, Changyi Wan, Hanpeng Hu, Lei Xia, Ranchen Ming, Yibo Zhu, Xin Jin:
RLHFuse: Efficient RLHF Training for Large Language Models with Inter- and Intra-Stage Fusion. CoRR abs/2409.13221 (2024) - 2023
- [c2]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: 266-280 - [c1]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: 663-679 - [i2]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 abs/2302.11665 (2023) - [i1]Bingyang Wu, Yinmin Zhong, Zili Zhang, Gang Huang, Xuanzhe Liu, Xin Jin:
Fast Distributed Inference Serving for Large Language Models. CoRR abs/2305.05920 (2023)
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