Zhejiang Ran

According to our database, Zhejiang Ran authored at least 5 papers between 2021 and 2023.

Collaborative distances:

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

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

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

Accelerating Sample-based GNN Training by Feature Caching on GPUs.

Yuqi He, Zhiquan Lai, Zhejiang Ran, Lizhi Zhang, Dongsheng Li

Proceedings of the 7th IEEE International Conference on Smart Cloud, SmartCloud 2022, 2022

SCGraph: Accelerating Sample-based GNN Training by Staged Caching of Features on GPUs.

Yuqi He, Zhiquan Lai, Zhejiang Ran, Lizhi Zhang, Dongsheng Li

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022

2021

Accelerate Graph Neural Network Training by Reusing Batch Data on GPUs.

Zhejiang Ran, Zhiquan Lai, Lizhi Zhang, Dongsheng Li

Proceedings of the IEEE International Performance, 2021