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2020 – today
- 2024
[j7]Lei Guan, Dong-Sheng Li, Jiye Liang, Wen-Jian Wang, Ke-shi Ge, Xicheng Lu:
Advances of Pipeline Model Parallelism for Deep Learning Training: An Overview. J. Comput. Sci. Technol. 39(3): 567-584 (2024)- [j6]Shengwei Li
, Kai Lu, Zhiquan Lai, Weijie Liu, Keshi Ge, Dong Sheng Li:
A Multidimensional Communication Scheduling Method for Hybrid Parallel DNN Training. IEEE Trans. Parallel Distributed Syst. 35(8): 1415-1428 (2024) - 2023
- [j5]Keshi Ge, Kai Lu, Yongquan Fu, Xiaoge Deng, Zhiquan Lai, Dongsheng Li:
Compressed Collective Sparse-Sketch for Distributed Data-Parallel Training of Deep Learning Models. IEEE J. Sel. Areas Commun. 41(4): 941-963 (2023) - [j4]Zhiquan Lai, Shengwei Li, Xudong Tang, Keshi Ge, Weijie Liu, Yabo Duan, Linbo Qiao, Dongsheng Li:
Merak: An Efficient Distributed DNN Training Framework With Automated 3D Parallelism for Giant Foundation Models. IEEE Trans. Parallel Distributed Syst. 34(5): 1466-1478 (2023) - [c10]Wei Wang, Zhiquan Lai, Shengwei Li, Weijie Liu, Keshi Ge, Yujie Liu, Ao Shen, Dongsheng Li:
Prophet: Fine-grained Load Balancing for Parallel Training of Large-scale MoE Models. CLUSTER 2023: 82-94 - [c9]Hongyu Chen, Zhejiang Ran, Keshi Ge, Zhiquan Lai, Jingfei Jiang, Dongsheng Li:
Auto-Divide GNN: Accelerating GNN Training with Subgraph Division. Euro-Par 2023: 367-382 - [i4]Shengwei Li, Zhiquan Lai, Yanqi Hao, Weijie Liu, Keshi Ge, Xiaoge Deng, Dongsheng Li, Kai Lu:
Automated Tensor Model Parallelism with Overlapped Communication for Efficient Foundation Model Training. CoRR abs/2305.16121 (2023) - 2022
- [j3]Keshi Ge, Zhejiang Ran, Zhiquan Lai, Lizhi Zhang, Dongsheng Li:
BRGraph: An efficient graph neural network training system by reusing batch data on GPU. Concurr. Comput. Pract. Exp. 34(15) (2022) - [c8]Weijie Liu, Zhiquan Lai, Shengwei Li, Yabo Duan, Keshi Ge, Dongsheng Li:
AutoPipe: A Fast Pipeline Parallelism Approach with Balanced Partitioning and Micro-batch Slicing. CLUSTER 2022: 301-312 - [c7]Yabo Duan, Zhiquan Lai, Shengwei Li, Weijie Liu, Keshi Ge, Peng Liang, Dongsheng Li:
HPH: Hybrid Parallelism on Heterogeneous Clusters for Accelerating Large-scale DNNs Training. CLUSTER 2022: 313-323 - [c6]Keshi Ge, Yongquan Fu, Yiming Zhang, Zhiquan Lai, Xiaoge Deng, Dongsheng Li:
S2 Reducer: High-Performance Sparse Communication to Accelerate Distributed Deep Learning. ICASSP 2022: 5233-5237 - [i3]Zhiquan Lai, Shengwei Li, Xudong Tang, Keshi Ge, Weijie Liu, Yabo Duan, Linbo Qiao, Dongsheng Li:
Merak: An Efficient Distributed DNN Training Framework with Automated 3D Parallelism for Giant Foundation Models. CoRR abs/2206.04959 (2022) - 2021
- [c5]Keshi Ge, Yiming Zhang, Yongquan Fu, Zhiquan Lai, Xiaoge Deng, Dongsheng Li:
CASQ: Accelerate Distributed Deep Learning with Sketch-Based Gradient Quantization. CLUSTER 2021: 825-826 - [i2]Keshi Ge, Yongquan Fu, Zhiquan Lai, Xiaoge Deng, Dongsheng Li:
S2 Reducer: High-Performance Sparse Communication to Accelerate Distributed Deep Learning. CoRR abs/2110.02140 (2021) - 2020
- [j2]Lei Guan, Tao Sun, Linbo Qiao, Zhi-hui Yang, Dongsheng Li, Ke-shi Ge, Xicheng Lu:
An efficient parallel and distributed solution to nonconvex penalized linear SVMs. Frontiers Inf. Technol. Electron. Eng. 21(4): 587-603 (2020) - [c4]Yixin Chen, Xinye Lin, Keshi Ge, Wenbo He, Dongsheng Li:
Tag Pollution Detection in Web Videos via Cross-Modal Relevance Estimation. IWQoS 2020: 1-10
2010 – 2019
- 2019
- [c3]Dongsheng Li, Zhiquan Lai, Keshi Ge, Yiming Zhang, Zhaoning Zhang, Qinglin Wang, Huaimin Wang:
HPDL: Towards a General Framework for High-performance Distributed Deep Learning. ICDCS 2019: 1742-1753 - 2018
- [c2]Lei Guan, Linbo Qiao, Dongsheng Li, Tao Sun, Keshi Ge, Xicheng Lu:
An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines. ICDM Workshops 2018: 1209-1216 - [c1]Xuying Shaol, Ke-shi Ge, Huayou Su, Lei Luo, Baoyun Peng, Dongsheng Li:
Deep Discriminative Clustering Network. IJCNN 2018: 1-7 - [i1]Lei Guan, Linbo Qiao, Dongsheng Li, Tao Sun, Ke-shi Ge, Xicheng Lu:
An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines. CoRR abs/1809.03655 (2018) - 2017
- [j1]Ke-shi Ge, Huayou Su, Dong-sheng Li, Xicheng Lu:
Efficient parallel implementation of a density peaks clustering algorithm on graphics processing unit. Frontiers Inf. Technol. Electron. Eng. 18(7): 915-927 (2017)
Coauthor Index
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last updated on 2024-11-06 20:23 CET by the dblp team
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