| Flexps: Flexible parallelism control in parameter server architecture Y Huang, T Jin, Y Wu, Z Cai, X Yan, F Yang, J Li, Y Guo, J Cheng Proceedings of the VLDB Endowment 11 (5), 566-579, 2018 | 82 | 2018 |
| DGCL: An efficient communication library for distributed GNN training Z Cai, X Yan, Y Wu, K Ma, J Cheng, F Yu Proceedings of the Sixteenth European Conference on Computer Systems, 130-144, 2021 | 62 | 2021 |
| Seastar: vertex-centric programming for graph neural networks Y Wu, K Ma, Z Cai, T Jin, B Li, C Zheng, J Cheng, F Yu Proceedings of the Sixteenth European Conference on Computer Systems, 359-375, 2021 | 46 | 2021 |
| Elastic deep learning in multi-tenant GPU clusters Y Wu, K Ma, X Yan, Z Liu, Z Cai, Y Huang, J Cheng, H Yuan, F Yu IEEE Transactions on Parallel and Distributed Systems 33 (1), 144-158, 2021 | 45 | 2021 |
| Improving resource utilization by timely fine-grained scheduling T Jin, Z Cai, B Li, C Zheng, G Jiang, J Cheng Proceedings of the Fifteenth European Conference on Computer Systems, 1-16, 2020 | 31 | 2020 |
| Tensoropt: Exploring the tradeoffs in distributed dnn training with auto-parallelism Z Cai, X Yan, K Ma, Y Wu, Y Huang, J Cheng, T Su, F Yu IEEE Transactions on Parallel and Distributed Systems 33 (8), 1967-1981, 2021 | 20 | 2021 |
| DSP: Efficient GNN training with multiple GPUs Z Cai, Q Zhou, X Yan, D Zheng, X Song, C Zheng, J Cheng, G Karypis Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and …, 2023 | 12 | 2023 |
| Scalable de novo genome assembly using pregel D Yan, H Chen, J Cheng, Z Cai, B Shao 2018 IEEE 34th International Conference on Data Engineering (ICDE), 1216-1219, 2018 | 9 | 2018 |
| Dgi: An easy and efficient framework for gnn model evaluation P Yin, X Yan, J Zhou, Q Fu, Z Cai, J Cheng, B Tang, M Wang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 4 | 2023 |
| DGI: Easy and Efficient Inference for GNNs P Yin, X Yan, J Zhou, Q Fu, Z Cai, J Cheng, B Tang, M Wang arXiv preprint arXiv:2211.15082, 2022 | 2 | 2022 |
| MuseGNN: Interpretable and Convergent Graph Neural Network Layers at Scale H Jiang, R Liu, X Yan, Z Cai, M Wang, D Wipf arXiv preprint arXiv:2310.12457, 2023 | 1 | 2023 |
| FEC: Efficient Deep Recommendation Model Training with Flexible Embedding Communication K Ma, X Yan, Z Cai, Y Huang, Y Wu, J Cheng Proceedings of the ACM on Management of Data 1 (2), 1-21, 2023 | 1 | 2023 |
| PPS: Fair and efficient black-box scheduling for multi-tenant GPU clusters K Ma, Z Cai, X Yan, Y Zhang, Z Liu, Y Feng, C Li, W Lin, J Cheng Parallel Computing 120, 103082, 2024 | | 2024 |
| gSampler: General and efficient GPU-based graph sampling for graph learning P Gong, R Liu, Z Mao, Z Cai, X Yan, C Li, M Wang, Z Li Proceedings of the 29th Symposium on Operating Systems Principles, 562-578, 2023 | | 2023 |
| Interpretable and Convergent Graph Neural Network Layers at Scale H Jiang, R Liu, X Yan, Z Cai, M Wang, D Wipf | | 2023 |
| DGCL Z Cai, X Yan, Y Wu, K Ma, J Cheng, F Yu Proceedings of the Sixteenth European Conference on Computer Systems, 2021 | | 2021 |
