Zhenkun Cai

According to our database, Zhenkun Cai authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PPS: Fair and efficient black-box scheduling for multi-tenant GPU clusters.

Kaihao Ma, Zhenkun Cai, Xiao Yan, Yang Zhang, Zhi Liu, Yihui Feng, Chao Li, Wei Lin, James Cheng

Parallel Comput., 2024

DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training.

Renjie Liu, Yichuan Wang, Xiao Yan, Zhenkun Cai, Minjie Wang, Haitian Jiang, Bo Tang, Jinyang Li

CoRR, 2024

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs.

Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Han Zhang, Guang Yang, Xiao Qin, Chuan Lei, Muhan Zhang, Weinan Zhang, Christos Faloutsos, Zheng Zhang

CoRR, 2024

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs.

Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Han Zhang, Guang Yang, Xiao Qin, Chuan Lei, Muhan Zhang, Weinan Zhang, Christos Faloutsos, Zheng Zhang

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

2023

FEC: Efficient Deep Recommendation Model Training with Flexible Embedding Communication.

Kaihao Ma, Xiao Yan, Zhenkun Cai, Yuzhen Huang, Yidi Wu, James Cheng

Proc. ACM Manag. Data, 2023

MuseGNN: Interpretable and Convergent Graph Neural Network Layers at Scale.

Haitian Jiang, Renjie Liu, Xiao Yan, Zhenkun Cai, Minjie Wang, David Wipf

CoRR, 2023

gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning.

Ping Gong, Renjie Liu, Zunyao Mao, Zhenkun Cai, Xiao Yan, Cheng Li, Minjie Wang, Zhuozhao Li

Proceedings of the 29th Symposium on Operating Systems Principles, 2023

DSP: Efficient GNN Training with Multiple GPUs.

Zhenkun Cai, Qihui Zhou, Xiao Yan, Da Zheng, Xiang Song, Chenguang Zheng, James Cheng, George Karypis

Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023

DGI: An Easy and Efficient Framework for GNN Model Evaluation.

Peiqi Yin, Xiao Yan, Jinjing Zhou, Qiang Fu, Zhenkun Cai, James Cheng, Bo Tang, Minjie Wang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Elastic Deep Learning in Multi-Tenant GPU Clusters.

Yidi Wu, Kaihao Ma, Xiao Yan, Zhi Liu, Zhenkun Cai, Yuzhen Huang, James Cheng, Han Yuan, Fan Yu

IEEE Trans. Parallel Distributed Syst., 2022

TensorOpt: Exploring the Tradeoffs in Distributed DNN Training With Auto-Parallelism.

Zhenkun Cai, Xiao Yan, Kaihao Ma, Yidi Wu, Yuzhen Huang, James Cheng, Teng Su, Fan Yu

IEEE Trans. Parallel Distributed Syst., 2022

DGI: Easy and Efficient Inference for GNNs.

Peiqi Yin, Xiao Yan, Jinjing Zhou, Qiang Fu, Zhenkun Cai, James Cheng, Bo Tang, Minjie Wang

CoRR, 2022

2021

Seastar: vertex-centric programming for graph neural networks.

Yidi Wu, Kaihao Ma, Zhenkun Cai, Tatiana Jin, Boyang Li, Chengguang Zheng, James Cheng, Fan Yu

Proceedings of the EuroSys '21: Sixteenth European Conference on Computer Systems, 2021

DGCL: an efficient communication library for distributed GNN training.

Zhenkun Cai, Xiao Yan, Yidi Wu, Kaihao Ma, James Cheng, Fan Yu

Proceedings of the EuroSys '21: Sixteenth European Conference on Computer Systems, 2021

2020

Improving resource utilization by timely fine-grained scheduling.

Tatiana Jin, Zhenkun Cai, Boyang Li, Chengguang Zheng, Guanxian Jiang, James Cheng

Proceedings of the EuroSys '20: Fifteenth EuroSys Conference 2020, 2020

2018

FlexPS: Flexible Parallelism Control in Parameter Server Architecture.

Yuzhen Huang, Tatiana Jin, Yidi Wu, Zhenkun Cai, Xiao Yan, Fan Yang, Jinfeng Li, Yuying Guo, James Cheng

Proc. VLDB Endow., 2018

Scalable De Novo Genome Assembly Using Pregel.

Da Yan, Hongzhi Chen, James Cheng, Zhenkun Cai, Bin Shao

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018