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Lizhi Zhang
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Publications
- 2023
- [j9]Lizhi Zhang, Kai Lu, Zhiquan Lai, Yongquan Fu, Yu Tang, Dongsheng Li:
Accelerating GNN Training by Adapting Large Graphs to Distributed Heterogeneous Architectures. IEEE Trans. Computers 72(12): 3473-3488 (2023) - 2022
- [j8]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) - [c16]Yuqi He, Zhiquan Lai, Zhejiang Ran, Lizhi Zhang, Dongsheng Li:
SCGraph: Accelerating Sample-based GNN Training by Staged Caching of Features on GPUs. ISPA/BDCloud/SocialCom/SustainCom 2022: 106-113 - [c15]Yuqi He, Zhiquan Lai, Zhejiang Ran, Lizhi Zhang, Dongsheng Li:
Accelerating Sample-based GNN Training by Feature Caching on GPUs. SmartCloud 2022: 163-164 - 2021
- [c14]Lizhi Zhang, Zhiquan Lai, Shengwei Li, Yu Tang, Feng Liu, Dongsheng Li:
2PGraph: Accelerating GNN Training over Large Graphs on GPU Clusters. CLUSTER 2021: 103-113 - [c12]Zhejiang Ran, Zhiquan Lai, Lizhi Zhang, Dongsheng Li:
Accelerate Graph Neural Network Training by Reusing Batch Data on GPUs. IPCCC 2021: 1-8 - [c11]Lizhi Zhang, Zhiquan Lai, Yu Tang, Dongsheng Li, Feng Liu, Xiaochun Luo:
PCGraph: Accelerating GNN Inference on Large Graphs via Partition Caching. ISPA/BDCloud/SocialCom/SustainCom 2021: 279-287
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