| Gradientflow: Optimizing network performance for large-scale distributed dnn training P Sun, Y Wen, R Han, W Feng, S Yan IEEE Transactions on Big Data 8 (2), 495-507, 2019 | 101* | 2019 |
| A chunk caching location and searching scheme in content centric networking Y Li, T Lin, H Tang, P Sun 2012 IEEE International Conference on Communications (ICC), 2655-2659, 2012 | 93 | 2012 |
| Characterization and prediction of deep learning workloads in large-scale GPU datacenters Q Hu, P Sun, S Yan, Y Wen, T Zhang Proceedings of the International Conference for High Performance Computing …, 2021 | 82 | 2021 |
| Towards distributed machine learning in shared clusters: A dynamically-partitioned approach P Sun, Y Wen, NBD Ta, S Yan 2017 IEEE International Conference on Smart Computing (SMARTCOMP), 1-6, 2017 | 44 | 2017 |
| Chronus: A Novel Deadline-aware Scheduler for Deep Learning Training Jobs W Gao, Z Ye, P Sun, Y Wen, T Zhang Proceedings of the ACM Symposium on Cloud Computing, 609-623, 2021 | 25 | 2021 |
| Deep Learning Workload Scheduling in GPU Datacenters: A Survey Z Ye, W Gao, Q Hu, P Sun, X Wang, Y Luo, T Zhang, Y Wen ACM Computing Surveys 56 (6), 1-38, 2024 | 23* | 2024 |
| Cloud3DView: An interactive tool for cloud data center operations J Yin, P Sun, Y Wen, H Gong, M Liu, X Li, H You, J Gao, C Lin Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM, 499-500, 2013 | 19 | 2013 |
| Timed dataflow: Reducing communication overhead for distributed machine learning systems P Sun, Y Wen, TNB Duong, S Yan 2016 IEEE 22nd International Conference on Parallel and Distributed Systems …, 2016 | 18 | 2016 |
| GraphMP: An Efficient Semi-External-Memory Big Graph Processing System on a Single Machine P Sun, Y Wen, TNB Duong, X Xiao 2017 IEEE 23rd International Conference on Parallel and Distributed Systems …, 2017 | 16 | 2017 |
| Elan: Towards Generic and Efficient Elastic Training for Deep Learning L Xie, J Zhai, B Wu, Y Wang, X Zhang, P Sun, S Yan 2020 IEEE 40th International Conference on Distributed Computing Systems …, 2020 | 14 | 2020 |
| Astraea: A fair deep learning scheduler for multi-tenant gpu clusters Z Ye, P Sun, W Gao, T Zhang, X Wang, S Yan, Y Luo IEEE Transactions on Parallel and Distributed Systems 33 (11), 2781-2793, 2021 | 11 | 2021 |
| Graphh: High performance big graph analytics in small clusters P Sun, Y Wen, TNB Duong, X Xiao 2017 IEEE International Conference on Cluster Computing (CLUSTER), 256-266, 2017 | 11 | 2017 |
| ModelCI-e: Enabling Continual Learning in Deep Learning Serving Systems Y Huang, H Zhang, Y Wen, P Sun, NBD TA arXiv preprint arXiv:2106.03122, 2021 | 10 | 2021 |
| Lucid: A Non-intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs Q Hu, M Zhang, P Sun, Y Wen, T Zhang Proceedings of the 28th ACM International Conference on Architectural …, 2023 | 9 | 2023 |
| GraphMP: I/O-efficient big graph analytics on a single commodity machine P Sun, Y Wen, TNB Duong, X Xiao IEEE Transactions on Big Data 6 (4), 816-829, 2019 | 9 | 2019 |
| CREATE: CoRrelation enhanced trAffic maTrix estimation in data center networks Z Hu, Y Qiao, J Luo, P Sun, Y Wen 2014 IFIP Networking Conference, 1-9, 2014 | 8 | 2014 |
| Metaflow: A scalable metadata lookup service for distributed file systems in data centers P Sun, Y Wen, DNB Ta, H Xie IEEE Transactions on Big Data 4 (2), 203-216, 2016 | 6 | 2016 |
| Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication M Zhang, Q Hu, P Sun, Y Wen, T Zhang arXiv preprint arXiv:2303.01277, 2023 | 5 | 2023 |
| InternLM2 Technical Report Z Cai, M Cao, H Chen, K Chen, K Chen, X Chen, X Chen, Z Chen, Z Chen, ... arXiv preprint arXiv:2403.17297, 2024 | 4 | 2024 |
| Primo: Practical {Learning-Augmented} Systems with Interpretable Models Q Hu, H Nori, P Sun, Y Wen, T Zhang 2022 USENIX Annual Technical Conference (USENIX ATC 22), 519-538, 2022 | 4 | 2022 |
Yonggang WenFIEEE, FSAEng, Professor & President's Chair, Nanyang Technological University SingaporeVerified email at ntu.edu.sg
