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Peng Sun
Peng Sun
PhD in Computer Science, Princeton University
在 cs.princeton.edu 的电子邮件经过验证 - 首页
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引用次数
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年份
Secondnet: a data center network virtualization architecture with bandwidth guarantees
C Guo, G Lu, HJ Wang, S Yang, C Kong, P Sun, W Wu, Y Zhang
Proceedings of the 6th International COnference, 1-12, 2010
8272010
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
1152014
Identifying performance bottlenecks in CDNs through TCP-level monitoring
P Sun, M Yu, MJ Freedman, J Rexford
Proceedings of the first ACM SIGCOMM workshop on Measurements up the stack …, 2011
1052011
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
872021
Hone: Joint host-network traffic management in software-defined networks
P Sun, M Yu, MJ Freedman, J Rexford, D Walker
Journal of Network and Systems Management 23, 374-399, 2015
812015
Optimizing network performance for distributed dnn training on gpu clusters: Imagenet/alexnet training in 1.5 minutes
P Sun, W Feng, R Han, S Yan, Y Wen
arXiv preprint arXiv:1902.06855, 2019
782019
Unbiased sampling in directed social graph
T Wang, Y Chen, Z Zhang, P Sun, B Deng, X Li
ACM SIGCOMM Computer Communication Review 40 (4), 401-402, 2010
492010
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
452017
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
272021
Scalable programmable inbound traffic engineering
P Sun, L Vanbever, J Rexford
Proceedings of the 1st ACM SIGCOMM Symposium on Software Defined Networking …, 2015
252015
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
242019
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
232022
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
222022
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
192016
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
192013
Network-state management service
M Zhang, R Mahajan, P Sun, L Yuan
US Patent 9,491,054, 2016
172016
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
152020
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
152017
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
122023
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
122021
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