Zhenkun Cai

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Tandem Mass Spectrometry

Efficient Inference

Top Venues

IEEE Trans. Parallel Distributed Syst.

Proc. ACM Manag. Data

Publications

Kaihao Ma, Zhenkun Cai, Xiao Yan, Yang Zhang, Zhi Liu, Yihui Feng, Chao Li, Wei Lin, James Cheng
PPS: Fair and efficient black-box scheduling for multi-tenant GPU clusters. Parallel Comput. 120 (2024)
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
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs. CoRR (2024)
Renjie Liu, Yichuan Wang, Xiao Yan, Zhenkun Cai, Minjie Wang, Haitian Jiang, Bo Tang, Jinyang Li
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training. CoRR (2024)
Zhenkun Cai, Qihui Zhou, Xiao Yan, Da Zheng, Xiang Song, Chenguang Zheng, James Cheng, George Karypis
DSP: Efficient GNN Training with Multiple GPUs. PPoPP (2023)
Ping Gong, Renjie Liu, Zunyao Mao, Zhenkun Cai, Xiao Yan, Cheng Li, Minjie Wang, Zhuozhao Li
gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning. SOSP (2023)
Haitian Jiang, Renjie Liu, Xiao Yan, Zhenkun Cai, Minjie Wang, David Wipf
MuseGNN: Interpretable and Convergent Graph Neural Network Layers at Scale. CoRR (2023)
Kaihao Ma, Xiao Yan, Zhenkun Cai, Yuzhen Huang, Yidi Wu, James Cheng
FEC: Efficient Deep Recommendation Model Training with Flexible Embedding Communication. Proc. ACM Manag. Data 1 (2) (2023)
Peiqi Yin, Xiao Yan, Jinjing Zhou, Qiang Fu, Zhenkun Cai, James Cheng, Bo Tang, Minjie Wang
DGI: An Easy and Efficient Framework for GNN Model Evaluation. KDD (2023)
Peiqi Yin, Xiao Yan, Jinjing Zhou, Qiang Fu, Zhenkun Cai, James Cheng, Bo Tang, Minjie Wang
DGI: Easy and Efficient Inference for GNNs. CoRR (2022)
Yidi Wu, Kaihao Ma, Xiao Yan, Zhi Liu, Zhenkun Cai, Yuzhen Huang, James Cheng, Han Yuan, Fan Yu
Elastic Deep Learning in Multi-Tenant GPU Clusters. IEEE Trans. Parallel Distributed Syst. 33 (1) (2022)
Zhenkun Cai, Xiao Yan, Kaihao Ma, Yidi Wu, Yuzhen Huang, James Cheng, Teng Su, Fan Yu
TensorOpt: Exploring the Tradeoffs in Distributed DNN Training With Auto-Parallelism. IEEE Trans. Parallel Distributed Syst. 33 (8) (2022)
Zhenkun Cai, Xiao Yan, Yidi Wu, Kaihao Ma, James Cheng, Fan Yu
DGCL: an efficient communication library for distributed GNN training. EuroSys (2021)
Yidi Wu, Kaihao Ma, Zhenkun Cai, Tatiana Jin, Boyang Li, Chengguang Zheng, James Cheng, Fan Yu
Seastar: vertex-centric programming for graph neural networks. EuroSys (2021)
Tatiana Jin, Zhenkun Cai, Boyang Li, Chengguang Zheng, Guanxian Jiang, James Cheng
Improving resource utilization by timely fine-grained scheduling. EuroSys (2020)
Zhenkun Cai, Kaihao Ma, Xiao Yan, Yidi Wu, Yuzhen Huang, James Cheng, Teng Su, Fan Yu
TensorOpt: Exploring the Tradeoffs in Distributed DNN Training with Auto-Parallelism. CoRR (2020)
Da Yan, Hongzhi Chen, James Cheng, Zhenkun Cai, Bin Shao
Scalable De Novo Genome Assembly Using Pregel. CoRR (2018)
Yuzhen Huang, Tatiana Jin, Yidi Wu, Zhenkun Cai, Xiao Yan, Fan Yang, Jinfeng Li, Yuying Guo, James Cheng
FlexPS: Flexible Parallelism Control in Parameter Server Architecture. Proc. VLDB Endow. 11 (5) (2018)
Da Yan, Hongzhi Chen, James Cheng, Zhenkun Cai, Bin Shao
Scalable De Novo Genome Assembly Using Pregel. ICDE (2018)