| How does the workload look like in production cloud? analysis and clustering of workloads on alibaba cluster trace W Chen, K Ye, Y Wang, G Xu, CZ Xu 2018 IEEE 24th International Conference on Parallel and Distributed Systems …, 2018 | 58 | 2018 |
| HySync: Hybrid federated learning with effective synchronization G Shi, L Li, J Wang, W Chen, K Ye, CZ Xu 2020 IEEE 22nd International Conference on High Performance Computing and …, 2020 | 18 | 2020 |
| Understanding the workload characteristics in alibaba: A view from directed acyclic graph analysis C Lu, W Chen, K Ye, CZ Xu 2020 International Conference on High Performance Big Data and Intelligent …, 2020 | 17 | 2020 |
| Rptcn: Resource prediction for high-dynamic workloads in clouds based on deep learning W Chen, C Lu, K Ye, Y Wang, CZ Xu 2021 IEEE International Conference on Cluster Computing (CLUSTER), 59-69, 2021 | 15 | 2021 |
| Co-locating online workload and offline workload in the cloud: An interference analysis W Chen, K Ye, CZ Xu 2019 IEEE 21st International Conference on High Performance Computing and …, 2019 | 14 | 2019 |
| Interference analysis of co-located container workloads: a perspective from hardware performance counters WY Chen, KJ Ye, CZ Lu, DD Zhou, CZ Xu Journal of Computer science and Technology 35, 412-417, 2020 | 12 | 2020 |
| ADGS: anomaly detection and localization based on graph similarity in container-based clouds C Lu, K Ye, W Chen, CZ Xu 2019 IEEE 25th International Conference on Parallel and Distributed Systems …, 2019 | 6 | 2019 |
| Interference-aware Multiplexing for Deep Learning in GPU Clusters: A Middleware Approach W Chen, Z Mo, H Xu, K Ye, C Xu Proceedings of the International Conference for High Performance Computing …, 2023 | | 2023 |
| 混部容器负载干扰分析: 从硬件性能计数器的视角 WY Chen, KJ Ye, CZ Lu, DD Zhou, CZ Xu 计算机科学技术学报 35 (2), 412-417, 2020 | | 2020 |
Chengzhi LuSIATVerified email at siat.ac.cn
Chengzhi LuSIATVerified email at siat.ac.cn