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Youhe Jiang
ORCID
Publication Activity (10 Years)
Years Active: 2020-2023
Publications (10 Years): 8
Top Topics
Stochastic Gradient Descent
Reduce The Computational Complexity
Computationally Expensive
Deep Learning
Top Venues
CoRR
Proc. VLDB Endow.
IEEE Access
IJCAI
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Publications
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Yujie Wang
,
Youhe Jiang
,
Xupeng Miao
,
Fangcheng Fu
,
Xiaonan Nie
,
Bin Cui
Improving Automatic Parallel Training via Balanced Memory Workload Optimization.
CoRR
(2023)
Youhe Jiang
,
Ran Yan
,
Xiaozhe Yao
,
Beidi Chen
,
Binhang Yuan
HexGen: Generative Inference of Foundation Model over Heterogeneous Decentralized Environment.
CoRR
(2023)
Youhe Jiang
,
Fangcheng Fu
,
Xupeng Miao
,
Xiaonan Nie
,
Bin Cui
OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning.
CoRR
(2023)
Youhe Jiang
,
Fangcheng Fu
,
Xupeng Miao
,
Xiaonan Nie
,
Bin Cui
OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning.
IJCAI
(2023)
Xupeng Miao
,
Yujie Wang
,
Youhe Jiang
,
Chunan Shi
,
Xiaonan Nie
,
Hailin Zhang
,
Bin Cui
Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism.
CoRR
(2022)
Youhe Jiang
,
Xupeng Miao
,
Xiaonan Nie
,
Bin Cui
OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning.
CoRR
(2022)
Xupeng Miao
,
Yujie Wang
,
Youhe Jiang
,
Chunan Shi
,
Xiaonan Nie
,
Hailin Zhang
,
Bin Cui
Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism.
Proc. VLDB Endow.
16 (3) (2022)
Youhe Jiang
,
Huaxi Gu
,
Yunfeng Lu
,
Xiaoshan Yu
2D-HRA: Two-Dimensional Hierarchical Ring-Based All-Reduce Algorithm in Large-Scale Distributed Machine Learning.
IEEE Access
8 (2020)