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Peng Sun
Peng Sun
PhD in Computer Science, Princeton University
cs.princeton.edu의 이메일 확인됨 - 홈페이지
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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
8162010
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
1052014
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
1032011
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
712015
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
682019
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
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
342021
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
342017
Scalable programmable inbound traffic engineering
P Sun, L Vanbever, J Rexford
Proceedings of the 1st ACM SIGCOMM Symposium on Software Defined Networking …, 2015
242015
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
192019
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
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
162016
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
142017
Improving prediction accuracy of matrix factorization based network coordinate systems
Y Chen, P Sun, X Fu, T Xu
2010 Proceedings of 19th International Conference on Computer Communications …, 2010
122010
Network-state management service
M Zhang, R Mahajan, P Sun, L Yuan
US Patent 9,491,054, 2016
112016
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
102021
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
82017
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
72022
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
72021
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
72014
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학술자료 1–20