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Yanghua Peng
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2020 – today
- 2024
- [c15]Hanpeng Hu
, Junwei Su
CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs. EuroSys 2024: 1054-1074 - [c14]Juntao Zhao, Borui Wan, Yanghua Peng, Haibin Lin, Yibo Zhu, Chuan Wu:
QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devices. IPDPS 2024: 193-204 - [c13]Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang, Yangrui Chen, Zhi Zhang, Yanghua Peng, Xiang Li, Cong Xie, Shibiao Nong, Yulu Jia, Sun He, Hongmin Chen, Zhihao Bai, Qi Hou, Shipeng Yan, Ding Zhou, Yiyao Sheng, Zhuo Jiang, Haohan Xu, Haoran Wei, Zhang Zhang, Pengfei Nie, Leqi Zou, Sida Zhao, Liang Xiang, Zherui Liu, Zhe Li, Xiaoying Jia, Jianxi Ye, Xin Jin, Xin Liu:
MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs. NSDI 2024: 745-760 - [c12]Juntao Zhao
POSTER: LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive Quantization. PPoPP 2024: 460-462 - [i12]Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang, Yangrui Chen, Zhi Zhang, Yanghua Peng, Xiang Li, Cong Xie, Shibiao Nong, Yulu Jia, Sun He, Hongmin Chen, Zhihao Bai, Qi Hou, Shipeng Yan, Ding Zhou, Yiyao Sheng, Zhuo Jiang, Haohan Xu, Haoran Wei, Zhang Zhang, Pengfei Nie, Leqi Zou, Sida Zhao, Liang Xiang, Zherui Liu, Zhe Li, Xiaoying Jia, Jianxi Ye, Xin Jin, Xin Liu:
MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs. CoRR abs/2402.15627 (2024) - [i11]Juntao Zhao, Borui Wan, Yanghua Peng, Haibin Lin, Chuan Wu:
LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive Quantization. CoRR abs/2403.01136 (2024) - [i10]Juntao Zhao, Borui Wan, Yanghua Peng, Haibin Lin, Yibo Zhu, Chuan Wu:
QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devices. CoRR abs/2407.02327 (2024) - [i9]Borui Wan, Mingji Han, Yiyao Sheng, Zhichao Lai, Mofan Zhang, Junda Zhang, Yanghua Peng, Haibin Lin, Xin Liu, Chuan Wu:
ByteCheckpoint: A Unified Checkpointing System for LLM Development. CoRR abs/2407.20143 (2024) - [i8]Weiqi Feng, Yangrui Chen, Shaoyu Wang, Yanghua Peng, Haibin Lin, Minlan Yu:
Optimus: Accelerating Large-Scale Multi-Modal LLM Training by Bubble Exploitation. CoRR abs/2408.03505 (2024) - [i7]Guangming Sheng, Chi Zhang, Zilingfeng Ye, Xibin Wu, Wang Zhang, Ru Zhang, Yanghua Peng, Haibin Lin, Chuan Wu:
HybridFlow: A Flexible and Efficient RLHF Framework. CoRR abs/2409.19256 (2024) - 2023
- [j4]Yangrui Chen, Jiaxuan You
SP-GNN: Learning structure and position information from graphs. Neural Networks 161: 505-514 (2023) - [j3]Yixin Bao
Deep Learning-Based Job Placement in Distributed Machine Learning Clusters With Heterogeneous Workloads. IEEE/ACM Trans. Netw. 31(2): 634-647 (2023) - [c11]Tianfeng Liu, Yangrui Chen, Dan Li, Chuan Wu, Yibo Zhu, Jun He, Yanghua Peng, Hongzheng Chen, Hongzhi Chen, Chuanxiong Guo:
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing. NSDI 2023: 103-118 - [i6]Hanpeng Hu, Junwei Su, Juntao Zhao, Yanghua Peng, Yibo Zhu, Haibin Lin, Chuan Wu:
CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs. CoRR abs/2311.09690 (2023) - 2022
- [c10]Hanpeng Hu, Chenyu Jiang, Yuchen Zhong, Yanghua Peng, Chuan Wu, Yibo Zhu, Haibin Lin, Chuanxiong Guo:
dPRO: A Generic Performance Diagnosis and Optimization Toolkit for Expediting Distributed DNN Training. MLSys 2022 - [c9]Yangrui Chen, Cong Xie, Meng Ma, Juncheng Gu, Yanghua Peng, Haibin Lin, Chuan Wu, Yibo Zhu:
SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training. NeurIPS 2022 - [c8]Yihao Zhao, Yuanqiang Liu, Yanghua Peng, Yibo Zhu, Xuanzhe Liu, Xin Jin:
Multi-resource interleaving for deep learning training. SIGCOMM 2022: 428-440 - [i5]Hanpeng Hu, Chenyu Jiang, Yuchen Zhong, Yanghua Peng, Chuan Wu, Yibo Zhu, Haibin Lin, Chuanxiong Guo:
dPRO: A Generic Profiling and Optimization System for Expediting Distributed DNN Training. CoRR abs/2205.02473 (2022) - 2021
- [j2]Yanghua Peng
DL2: A Deep Learning-Driven Scheduler for Deep Learning Clusters. IEEE Trans. Parallel Distributed Syst. 32(8): 1947-1960 (2021) - [i4]Tianfeng Liu, Yangrui Chen, Dan Li, Chuan Wu, Yibo Zhu, Jun He, Yanghua Peng, Hongzheng Chen, Hongzhi Chen, Chuanxiong Guo:
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing. CoRR abs/2112.08541 (2021) - 2020
- [c7]Yangrui Chen, Yanghua Peng, Yixin Bao, Chuan Wu
Elastic parameter server load distribution in deep learning clusters. SoCC 2020: 507-521 - [c6]Yixin Bao, Yanghua Peng, Yangrui Chen, Chuan Wu
Preemptive All-reduce Scheduling for Expediting Distributed DNN Training. INFOCOM 2020: 626-635
2010 – 2019
- 2019
- [c5]Yixin Bao, Yanghua Peng, Chuan Wu
Deep Learning-based Job Placement in Distributed Machine Learning Clusters. INFOCOM 2019: 505-513 - [c4]Yanghua Peng, Yibo Zhu, Yangrui Chen, Yixin Bao, Bairen Yi, Chang Lan, Chuan Wu
A generic communication scheduler for distributed DNN training acceleration. SOSP 2019: 16-29 - [i3]Yanghua Peng, Yixin Bao, Yangrui Chen, Chuan Wu, Chen Meng, Wei Lin:
DL2: A Deep Learning-driven Scheduler for Deep Learning Clusters. CoRR abs/1909.06040 (2019) - 2018
- [c3]Yanghua Peng, Yixin Bao, Yangrui Chen, Chuan Wu
Optimus: an efficient dynamic resource scheduler for deep learning clusters. EuroSys 2018: 3:1-3:14 - [c2]Yixin Bao, Yanghua Peng, Chuan Wu
Online Job Scheduling in Distributed Machine Learning Clusters. INFOCOM 2018: 495-503 - [i2]Yixin Bao, Yanghua Peng, Chuan Wu, Zongpeng Li:
Online Job Scheduling in Distributed Machine Learning Clusters. CoRR abs/1801.00936 (2018) - 2017
- [j1]Jingpu Duan
Dynamic Scaling of Virtualized, Distributed Service Chains: A Case Study of IMS. IEEE J. Sel. Areas Commun. 35(11): 2501-2511 (2017) - [c1]Yanghua Peng, Ji Yang, Chuan Wu, Chuanxiong Guo, Chengchen Hu, Zongpeng Li:
deTector: a Topology-aware Monitoring System for Data Center Networks. USENIX ATC 2017: 55-68 - [i1]Jingpu Duan, Chuan Wu, Franck Le, Alex X. Liu, Yanghua Peng:
Dynamic Scaling of Virtualized, Distributed Service Chains: A Case Study of IMS. CoRR abs/1702.02853 (2017)
Coauthor Index
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last updated on 2024-12-12 21:56 CET by the dblp team
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