Ke-shi Ge

According to our database, Ke-shi Ge authored at least 17 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

Merak: An Efficient Distributed DNN Training Framework With Automated 3D Parallelism for Giant Foundation Models.

Zhiquan Lai, Shengwei Li, Xudong Tang, Keshi Ge, Weijie Liu, Yabo Duan, Linbo Qiao, Dongsheng Li

IEEE Trans. Parallel Distributed Syst., May, 2023

Compressed Collective Sparse-Sketch for Distributed Data-Parallel Training of Deep Learning Models.

Keshi Ge, Kai Lu, Yongquan Fu, Xiaoge Deng, Zhiquan Lai, Dongsheng Li

IEEE J. Sel. Areas Commun., April, 2023

Automated Tensor Model Parallelism with Overlapped Communication for Efficient Foundation Model Training.

Shengwei Li, Zhiquan Lai, Yanqi Hao, Weijie Liu, Keshi Ge, Xiaoge Deng, Dongsheng Li, Kai Lu

CoRR, 2023

Auto-Divide GNN: Accelerating GNN Training with Subgraph Division.

Hongyu Chen, Zhejiang Ran, Keshi Ge, Zhiquan Lai, Jingfei Jiang, Dongsheng Li

Proceedings of the Euro-Par 2023: Parallel Processing - 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28, 2023

Prophet: Fine-grained Load Balancing for Parallel Training of Large-scale MoE Models.

Wei Wang, Zhiquan Lai, Shengwei Li, Weijie Liu, Keshi Ge, Yujie Liu, Ao Shen, Dongsheng Li

Proceedings of the IEEE International Conference on Cluster Computing, 2023

2022

BRGraph: An efficient graph neural network training system by reusing batch data on GPU.

Keshi Ge, Zhejiang Ran, Zhiquan Lai, Lizhi Zhang, Dongsheng Li

Concurr. Comput. Pract. Exp., 2022

S2 Reducer: High-Performance Sparse Communication to Accelerate Distributed Deep Learning.

Keshi Ge, Yongquan Fu, Yiming Zhang, Zhiquan Lai, Xiaoge Deng, Dongsheng Li

Proceedings of the IEEE International Conference on Acoustics, 2022

AutoPipe: A Fast Pipeline Parallelism Approach with Balanced Partitioning and Micro-batch Slicing.

Weijie Liu, Zhiquan Lai, Shengwei Li, Yabo Duan, Keshi Ge, Dongsheng Li

Proceedings of the IEEE International Conference on Cluster Computing, 2022

HPH: Hybrid Parallelism on Heterogeneous Clusters for Accelerating Large-scale DNNs Training.

Yabo Duan, Zhiquan Lai, Shengwei Li, Weijie Liu, Keshi Ge, Peng Liang, Dongsheng Li

Proceedings of the IEEE International Conference on Cluster Computing, 2022

2021

S2 Reducer: High-Performance Sparse Communication to Accelerate Distributed Deep Learning.

Keshi Ge, Yongquan Fu, Zhiquan Lai, Xiaoge Deng, Dongsheng Li

CoRR, 2021

CASQ: Accelerate Distributed Deep Learning with Sketch-Based Gradient Quantization.

Keshi Ge, Yiming Zhang, Yongquan Fu, Zhiquan Lai, Xiaoge Deng, Dongsheng Li

Proceedings of the IEEE International Conference on Cluster Computing, 2021

2020

An efficient parallel and distributed solution to nonconvex penalized linear SVMs.

Lei Guan, Tao Sun, Linbo Qiao, Zhi-hui Yang, Dongsheng Li, Ke-shi Ge, Xicheng Lu

Frontiers Inf. Technol. Electron. Eng., 2020

Tag Pollution Detection in Web Videos via Cross-Modal Relevance Estimation.

Yixin Chen, Xinye Lin, Keshi Ge, Wenbo He, Dongsheng Li

Proceedings of the 28th IEEE/ACM International Symposium on Quality of Service, 2020

2019

HPDL: Towards a General Framework for High-performance Distributed Deep Learning.

Dongsheng Li, Zhiquan Lai, Keshi Ge, Yiming Zhang, Zhaoning Zhang, Qinglin Wang, Huaimin Wang

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

2018

Deep Discriminative Clustering Network.

Xuying Shaol, Ke-shi Ge, Huayou Su, Lei Luo, Baoyun Peng, Dongsheng Li

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines.

Lei Guan, Linbo Qiao, Dongsheng Li, Tao Sun, Keshi Ge, Xicheng Lu

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017

Efficient parallel implementation of a density peaks clustering algorithm on graphics processing unit.

Ke-shi Ge, Huayou Su, Dong-sheng Li, Xicheng Lu

Frontiers Inf. Technol. Electron. Eng., 2017