| A Network-state Management Service P Sun, R Mahajan, J Rexford, L Yuan, M Zhang, A Arefin Proceedings of the 2014 ACM conference on SIGCOMM, 563-574, 2014 | 115 | 2014 |
| A simulation and experimental study of long cortical bones fracture evaluation using lamb waves K Xu, R He, D Ta, Y Qin, P Sun, W Wang The Journal of the Acoustical Society of America 131 (4_Supplement), 3425-3425, 2012 | | 2012 |
| A Simulation Platform for Multi-tenant Machine Learning Services on Thousands of GPUs R Liang, B He, S Yan, P Sun arXiv preprint arXiv:2201.03175, 2022 | | 2022 |
| AMSP: Super-Scaling LLM Training via Advanced Model States Partitioning Q Chen, Q Hu, Z Ye, G Wang, P Sun, Y Wen, T Zhang arXiv preprint arXiv:2311.00257, 2023 | 1 | 2023 |
| 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 | 12 | 2021 |
| AutoSched: An Adaptive Self-configured Framework for Scheduling Deep Learning Training Workloads W Gao, X Zhang, S Huang, S Guo, P Sun, Y Wen, T Zhang Proceedings of the 38th ACM International Conference on Supercomputing, 473-484, 2024 | 1 | 2024 |
| 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 | 6 | 2023 |
| Broadband achromatic polarization insensitive metalens over 950 nm bandwidth in the visible and near-infrared P Sun, M Zhang, F Dong, L Feng, W Chu Chinese Optics Letters 20 (1), 013601, 2022 | 22 | 2022 |
| Centauri: Enabling Efficient Scheduling for Communication-Computation Overlap in Large Model Training via Communication Partitioning C Chen, X Li, Q Zhu, J Duan, P Sun, X Zhang, C Yang Proceedings of the 29th ACM International Conference on Architectural …, 2024 | 1 | 2024 |
| 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 | 95 | 2021 |
| Characterization of large language model development in the datacenter Q Hu, Z Ye, Z Wang, G Wang, M Zhang, Q Chen, P Sun, D Lin, X Wang, ... 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2024 | 8 | 2024 |
| 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 | 29 | 2021 |
| 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 |
| Codaas: Content delivery as a service for user generated contents Y Wen, P Sun, J Cai | 2 | 2013 |
| 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 |
| 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 | 3 | 2024 |
| Deep learning workload scheduling in gpu datacenters: Taxonomy, challenges and vision W Gao, Q Hu, Z Ye, P Sun, X Wang, Y Luo, T Zhang, Y Wen arXiv preprint arXiv:2205.11913, 2022 | 23 | 2022 |
| Dimension Reduction of Network Bottleneck Bandwidth Data Space P Sun, Y Chen, Y Zhu, X Fu, B Deng, X Li 2010 INFOCOM IEEE Conference on Computer Communications Workshops, 1-2, 2010 | 1 | 2010 |
| 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 | 16 | 2020 |
| Establishment and characterization of human induced pluripotent stem cell line from a Parkinson’s disease patient harboring VPS13A gene mutation X Lu, W Wang, Y Liu, N Song, M Li, X Mu, N Zhang, Q Chen, L Jiang, ... Stem Cell Research 60, 102685, 2022 | 1 | 2022 |
Jennifer RexfordProfessor of Computer Science, Princeton University在 cs.princeton.edu 的电子邮件经过验证
