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ORCIDPeng Sun 0006
Person information
- unicode name: 孙鹏
- affiliation: SenseTime Research, China
- affiliation: Shanghai AI Laboratory, Shanghai, China
- affiliation: Nanyang Technological University, Energy Research Institute, Interdisciplinary Graduate School, Singapore
Other persons with the same name
- Peng Sun — disambiguation page
- Peng Sun 0001
![[0000-0002-3892-5936]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-3892-5936")
— Duke University, Fuqua School of Business, Durham, NC, USA - Peng Sun 0002 — Zhengzhou University, School of Information Engineering, China
- Peng Sun 0003 — Hunan University, Changsha, China (and 1 more)
- Peng Sun 0004 — Jinan University, Institute of Industrial Economics, Guangzhou, China
- Peng Sun 0005 — Eindhoven University of Technology, School of Industrial Engineering, Operations, Planning, Accounting and Control, The Netherlands
- Peng Sun 0007 — Duke Kunshan University, Jiangsu, China (and 1 more)
- Peng Sun 0008 — Saarland University, Saarbrücken, Germany
- Peng Sun 0009 — Criminal Investigation Police University of China, Department of Criminal Science and Technique, Shenyang, China
- Peng Sun 0010 — Delft University of Technology, Faculty of Electrical Engineering, Mathematics and Computer Science, Netherlands
- Peng Sun 0011 — ByteDance Inc. (and 2 more)
- Peng Sun 0012 — Northwestern Polytechnical University, School of Computer Science, Xi'an, China
- Peng Sun 0013 — Northwestern Polytechnical University, School of Astronautics, Xi'an, China (and 1 more)
- Peng Sun 0014 — The Climate Corporation, San Francisco, CA, USA (and 1 more)
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2020 – today
- 2024
[j6]Zhisheng Ye, Wei Gao, Qinghao Hu, Peng Sun, Xiaolin Wang, Yingwei Luo, Tianwei Zhang, Yonggang Wen:
Deep Learning Workload Scheduling in GPU Datacenters: A Survey. ACM Comput. Surv. 56(6): 146:1-146:38 (2024)- [j5]Wei Gao, Zhisheng Ye, Peng Sun, Tianwei Zhang, Yonggang Wen:
UniSched: A Unified Scheduler for Deep Learning Training Jobs With Different User Demands. IEEE Trans. Computers 73(6): 1500-1515 (2024) - [c21]Chang Chen, Xiuhong Li, Qianchao Zhu, Jiangfei Duan, Peng Sun, Xingcheng Zhang, Chao Yang:
Centauri: Enabling Efficient Scheduling for Communication-Computation Overlap in Large Model Training via Communication Partitioning. ASPLOS (3) 2024: 178-191 - [c20]Meng Zhang, Qinghao Hu, Cheng Wan, Haozhao Wang, Peng Sun, Yonggang Wen, Tianwei Zhang:
Sylvie: 3D-Adaptive and Universal System for Large-Scale Graph Neural Network Training. ICDE 2024: 3823-3836 - [c19]Wei Gao, Weiming Zhuang, Minghao Li, Peng Sun, Yonggang Wen, Tianwei Zhang:
Ymir: A Scheduler for Foundation Model Fine-tuning Workloads in Datacenters. ICS 2024: 259-271 - [c18]Wei Gao, Xu Zhang, Shan Huang, Shangwei Guo, Peng Sun, Yonggang Wen, Tianwei Zhang:
AutoSched: An Adaptive Self-configured Framework for Scheduling Deep Learning Training Workloads. ICS 2024: 473-484 - [c17]Qinghao Hu, Zhisheng Ye, Zerui Wang, Guoteng Wang, Meng Zhang, Qiaoling Chen, Peng Sun, Dahua Lin, Xiaolin Wang, Yingwei Luo, Yonggang Wen, Tianwei Zhang:
Characterization of Large Language Model Development in the Datacenter. NSDI 2024: 709-729 - [c16]Bingyang Wu, Ruidong Zhu, Zili Zhang, Peng Sun, Xuanzhe Liu, Xin Jin:
dLoRA: Dynamically Orchestrating Requests and Adapters for LoRA LLM Serving. OSDI 2024: 911-927 - [c15]Haozhao Wang, Yabo Jia, Meng Zhang, Qinghao Hu, Hao Ren, Peng Sun, Yonggang Wen, Tianwei Zhang:
FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices. WWW 2024: 2902-2913 - [i20]Qiaoling Chen, Diandian Gu, Guoteng Wang, Xun Chen, YingTong Xiong, Ting Huang, Qinghao Hu, Xin Jin, Yonggang Wen, Tianwei Zhang, Peng Sun:
InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding. CoRR abs/2401.09149 (2024) - [i19]Qinghao Hu, Zhisheng Ye, Zerui Wang, Guoteng Wang, Meng Zhang, Qiaoling Chen, Peng Sun, Dahua Lin, Xiaolin Wang, Yingwei Luo, Yonggang Wen, Tianwei Zhang:
Characterization of Large Language Model Development in the Datacenter. CoRR abs/2403.07648 (2024) - [i18]Zheng Cai, Maosong Cao, Haojiong Chen, Kai Chen, Keyu Chen, Xin Chen, Xun Chen, Zehui Chen, Zhi Chen, Pei Chu, Xiaoyi Dong, Haodong Duan, Qi Fan, Zhaoye Fei, Yang Gao, Jiaye Ge, Chenya Gu, Yuzhe Gu, Tao Gui, Aijia Guo, Qipeng Guo, Conghui He, Yingfan Hu, Ting Huang, Tao Jiang, Penglong Jiao, Zhenjiang Jin, Zhikai Lei, Jiaxing Li, Jingwen Li, Linyang Li, Shuaibin Li, Wei Li, Yining Li, Hongwei Liu, Jiangning Liu, Jiawei Hong, Kaiwen Liu, Kuikun Liu, Xiaoran Liu, Chengqi Lv, Haijun Lv, Kai Lv, Li Ma, Runyuan Ma, Zerun Ma, Wenchang Ning, Linke Ouyang, Jiantao Qiu, Yuan Qu, Fukai Shang, Yunfan Shao, Demin Song, Zifan Song, Zhihao Sui, Peng Sun, Yu Sun, Huanze Tang, Bin Wang, Guoteng Wang, Jiaqi Wang, Jiayu Wang, Rui Wang, Yudong Wang, Ziyi Wang, Xingjian Wei, Qizhen Weng, Fan Wu, Yingtong Xiong, et al.:
InternLM2 Technical Report. CoRR abs/2403.17297 (2024) - [i17]Bingyang Wu, Shengyu Liu, Yinmin Zhong, Peng Sun, Xuanzhe Liu, Xin Jin:
LoongServe: Efficiently Serving Long-context Large Language Models with Elastic Sequence Parallelism. CoRR abs/2404.09526 (2024) - [i16]Diandian Gu, Peng Sun, Qinghao Hu, Ting Huang, Xun Chen, Yingtong Xiong, Guoteng Wang, Qiaoling Chen, Shangchun Zhao, Jiarui Fang, Yonggang Wen, Tianwei Zhang, Xin Jin, Xuanzhe Liu:
LoongTrain: Efficient Training of Long-Sequence LLMs with Head-Context Parallelism. CoRR abs/2406.18485 (2024) - [i15]Pan Zhang, Xiaoyi Dong, Yuhang Zang, Yuhang Cao, Rui Qian, Lin Chen, Qipeng Guo, Haodong Duan, Bin Wang, Linke Ouyang, Songyang Zhang, Wenwei Zhang, Yining Li, Yang Gao, Peng Sun, Xinyue Zhang, Wei Li, Jingwen Li, Wenhai Wang, Hang Yan, Conghui He, Xingcheng Zhang, Kai Chen, Jifeng Dai, Yu Qiao, Dahua Lin, Jiaqi Wang:
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output. CoRR abs/2407.03320 (2024) - 2023
- [c14]Qinghao Hu, Meng Zhang, Peng Sun, Yonggang Wen, Tianwei Zhang:
Lucid: A Non-intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs. ASPLOS (2) 2023: 457-472 - [c13]Qinghao Hu, Zhisheng Ye, Meng Zhang, Qiaoling Chen, Peng Sun, Yonggang Wen, Tianwei Zhang:
Hydro: Surrogate-Based Hyperparameter Tuning Service in Datacenters. OSDI 2023: 757-777 - [i14]Meng Zhang, Qinghao Hu, Peng Sun, Yonggang Wen, Tianwei Zhang:
Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication. CoRR abs/2303.01277 (2023) - [i13]Qiaoling Chen, Qinghao Hu, Zhisheng Ye, Guoteng Wang, Peng Sun, Yonggang Wen, Tianwei Zhang:
AMSP: Super-Scaling LLM Training via Advanced Model States Partitioning. CoRR abs/2311.00257 (2023) - 2022
- [j4]Peng Sun, Yonggang Wen, Ruobing Han, Wansen Feng, Shengen Yan:
GradientFlow: Optimizing Network Performance for Large-Scale Distributed DNN Training. IEEE Trans. Big Data 8(2): 495-507 (2022) - [j3]Zhisheng Ye, Peng Sun, Wei Gao, Tianwei Zhang, Xiaolin Wang, Shengen Yan, Yingwei Luo:
Astraea: A Fair Deep Learning Scheduler for Multi-Tenant GPU Clusters. IEEE Trans. Parallel Distributed Syst. 33(11): 2781-2793 (2022) - [c12]Wei Gao, Peng Sun, Yonggang Wen, Tianwei Zhang:
Titan: a scheduler for foundation model fine-tuning workloads. SoCC 2022: 348-354 - [c11]Qinghao Hu, Harsha Nori, Peng Sun, Yonggang Wen, Tianwei Zhang:
Primo: Practical Learning-Augmented Systems with Interpretable Models. USENIX ATC 2022: 519-538 - [i12]Ruofan Liang, Bingsheng He, Shengen Yan, Peng Sun:
A Simulation Platform for Multi-tenant Machine Learning Services on Thousands of GPUs. CoRR abs/2201.03175 (2022) - [i11]Wei Gao, Qinghao Hu, Zhisheng Ye, Peng Sun, Xiaolin Wang, Yingwei Luo, Tianwei Zhang, Yonggang Wen:
Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision. CoRR abs/2205.11913 (2022) - 2021
- [c10]Wei Gao, Zhisheng Ye, Peng Sun, Yonggang Wen, Tianwei Zhang:
Chronus: A Novel Deadline-aware Scheduler for Deep Learning Training Jobs. SoCC 2021: 609-623 - [c9]Qinghao Hu, Peng Sun, Shengen Yan, Yonggang Wen, Tianwei Zhang:
Characterization and prediction of deep learning workloads in large-scale GPU datacenters. SC 2021: 104 - [i10]Yizheng Huang, Huaizheng Zhang, Yonggang Wen, Peng Sun, Nguyen Binh Duong Ta:
ModelCI-e: Enabling Continual Learning in Deep Learning Serving Systems. CoRR abs/2106.03122 (2021) - [i9]Qinghao Hu, Peng Sun, Shengen Yan, Yonggang Wen, Tianwei Zhang:
Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters. CoRR abs/2109.01313 (2021) - 2020
- [j2]Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Xiaokui Xiao:
GraphMP: I/O-Efficient Big Graph Analytics on a Single Commodity Machine. IEEE Trans. Big Data 6(4): 816-829 (2020) - [c8]Lei Xie, Jidong Zhai, Baodong Wu, Yuanbo Wang, Xingcheng Zhang, Peng Sun, Shengen Yan:
Elan: Towards Generic and Efficient Elastic Training for Deep Learning. ICDCS 2020: 78-88
2010 – 2019
- 2019
- [r1]Peng Sun, Yonggang Wen:
Scalable Architectures for Big Data Analysis. Encyclopedia of Big Data Technologies 2019 - [i8]Peng Sun, Wansen Feng, Ruobing Han, Shengen Yan, Yonggang Wen:
Optimizing Network Performance for Distributed DNN Training on GPU Clusters: ImageNet/AlexNet Training in 1.5 Minutes. CoRR abs/1902.06855 (2019) - 2018
- [j1]Peng Sun, Yonggang Wen, Duong Nguyen Binh Ta, Haiyong Xie:
MetaFlow: A Scalable Metadata Lookup Service for Distributed File Systems in Data Centers. IEEE Trans. Big Data 4(2): 203-216 (2018) - [c7]Zhenzhen Hu, Peng Sun, Yonggang Wen:
Speeding-Up Age Estimation in Intelligent Demographics System via Network Optimization. ICC 2018: 1-7 - [i7]Wuqiong Luo, Wee Peng Tay, Peng Sun, Yonggang Wen:
On Distributed Algorithms for Cost-Efficient Data Center Placement in Cloud Computing. CoRR abs/1802.01289 (2018) - [i6]Zhenzhen Hu, Peng Sun, Yonggang Wen:
Speeding-up Age Estimation in Intelligent Demographics System via Network Optimization. CoRR abs/1805.08373 (2018) - [i5]Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Xiaokui Xiao:
GraphMP: I/O-Efficient Big Graph Analytics on a Single Commodity Machine. CoRR abs/1810.04334 (2018) - 2017
- [c6]Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Xiaokui Xiao:
GraphH: High Performance Big Graph Analytics in Small Clusters. CLUSTER 2017: 256-266 - [c5]Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Xiaokui Xiao:
GraphMP: An Efficient Semi-External-Memory Big Graph Processing System on a Single Machine. ICPADS 2017: 276-283 - [c4]Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Shengen Yan:
Towards Distributed Machine Learning in Shared Clusters: A Dynamically-Partitioned Approach. SMARTCOMP 2017: 1-6 - [i4]Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Shengen Yan:
Towards Distributed Machine Learning in Shared Clusters: A Dynamically-Partitioned Approach. CoRR abs/1704.06738 (2017) - [i3]Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Xiaokui Xiao:
GraphH: High Performance Big Graph Analytics in Small Clusters. CoRR abs/1705.05595 (2017) - [i2]Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Xiaokui Xiao:
GraphMP: An Efficient Semi-External-Memory Big Graph Processing System on a Single Machine. CoRR abs/1707.02557 (2017) - 2016
- [c3]Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Shengen Yan:
Timed Dataflow: Reducing Communication Overhead for Distributed Machine Learning Systems. ICPADS 2016: 1110-1117 - [i1]Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Haiyong Xie:
MetaFlow: a Scalable Metadata Lookup Service for Distributed File Systems in Data Centers. CoRR abs/1611.01594 (2016) - 2014
- [c2]Zhiming Hu, Yan Qiao, Jun Luo, Peng Sun, Yonggang Wen:
CREATE: Correlation enhanced traffic matrix estimation in Data Center Networks. Networking 2014: 1-9 - 2013
- [c1]Jianxiong Yin, Peng Sun, Yonggang Wen, Haigang Gong, Ming Liu, Xuelong Li, Haipeng You, Jinqi Gao, Cynthia Lin:
Cloud3DView: an interactive tool for cloud data center operations. SIGCOMM 2013: 499-500
Coauthor Index
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last updated on 2024-08-15 23:45 CEST by the dblp team
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