受强制性开放获取政策约束的文章 - Yanghua Peng了解详情
无法在其他位置公开访问的文章：1 篇
POSTER: LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive Quantization
J Zhao, B Wan, C Wu, Y Peng, H Lin
Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and …, 2024
强制性开放获取政策： Research Grants Council, Hong Kong
可在其他位置公开访问的文章：17 篇
Optimus: an efficient dynamic resource scheduler for deep learning clusters
Y Peng, Y Bao, Y Chen, C Wu, C Guo
Proceedings of the Thirteenth EuroSys Conference, 1-14, 2018
强制性开放获取政策： Research Grants Council, Hong Kong
Deep learning-based job placement in distributed machine learning clusters
Y Bao, Y Peng, C Wu
IEEE INFOCOM 2019-IEEE conference on computer communications, 505-513, 2019
强制性开放获取政策： Research Grants Council, Hong Kong
Online job scheduling in distributed machine learning clusters
Y Bao, Y Peng, C Wu, Z Li
IEEE INFOCOM 2018-IEEE Conference on Computer Communications, 495-503, 2018
强制性开放获取政策： 国家自然科学基金委员会, Research Grants Council, Hong Kong
DL2: A deep learning-driven scheduler for deep learning clusters
Y Peng, Y Bao, Y Chen, C Wu, C Meng, W Lin
IEEE Transactions on Parallel and Distributed Systems 32 (8), 1947-1960, 2021
强制性开放获取政策： Research Grants Council, Hong Kong
{BGL}:{GPU-Efficient}{GNN} training by optimizing graph data {I/O} and preprocessing
T Liu, Y Chen, D Li, C Wu, Y Zhu, J He, Y Peng, H Chen, H Chen, C Guo
20th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2023
强制性开放获取政策： 国家自然科学基金委员会, Research Grants Council, Hong Kong
Preemptive all-reduce scheduling for expediting distributed DNN training
Y Bao, Y Peng, Y Chen, C Wu
IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 626-635, 2020
强制性开放获取政策： Research Grants Council, Hong Kong
Multi-resource interleaving for deep learning training
Y Zhao, Y Liu, Y Peng, Y Zhu, X Liu, X Jin
Proceedings of the ACM SIGCOMM 2022 Conference, 428-440, 2022
强制性开放获取政策： 国家自然科学基金委员会
deTector: a Topology-aware Monitoring System for Data Center Networks
Y Peng, J Yang, C Wu, C Guo, C Hu, Z Li
2017 USENIX Annual Technical Conference (USENIX ATC 17), 55-68, 2017
强制性开放获取政策： 国家自然科学基金委员会, Research Grants Council, Hong Kong
Elastic parameter server load distribution in deep learning clusters
Y Chen, Y Peng, Y Bao, C Wu, Y Zhu, C Guo
Proceedings of the 11th ACM Symposium on Cloud Computing, 507-521, 2020
强制性开放获取政策： Research Grants Council, Hong Kong
Dynamic scaling of virtualized, distributed service chains: A case study of IMS
J Duan, C Wu, F Le, AX Liu, Y Peng
IEEE Journal on Selected Areas in Communications 35 (11), 2501-2511, 2017
强制性开放获取政策： US National Science Foundation, 国家自然科学基金委员会, Research Grants …
Deep learning-based job placement in distributed machine learning clusters with heterogeneous workloads
Y Bao, Y Peng, C Wu
IEEE/ACM Transactions on Networking 31 (2), 634-647, 2022
强制性开放获取政策： Research Grants Council, Hong Kong
SP-GNN: Learning structure and position information from graphs
Y Chen, J You, J He, Y Lin, Y Peng, C Wu, Y Zhu
Neural Networks 161, 505-514, 2023
强制性开放获取政策： Research Grants Council, Hong Kong
dpro: A generic performance diagnosis and optimization toolkit for expediting distributed dnn training
H Hu, C Jiang, Y Zhong, Y Peng, C Wu, Y Zhu, H Lin, C Guo
Proceedings of Machine Learning and Systems 4, 623-637, 2022
强制性开放获取政策： Research Grants Council, Hong Kong
Sapipe: Staleness-aware pipeline for data parallel dnn training
Y Chen, C Xie, M Ma, J Gu, Y Peng, H Lin, C Wu, Y Zhu
Advances in Neural Information Processing Systems 35, 17981-17993, 2022
强制性开放获取政策： Research Grants Council, Hong Kong
CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs
H Hu, J Su, J Zhao, Y Peng, Y Zhu, H Lin, C Wu
Proceedings of the Nineteenth European Conference on Computer Systems, 1054-1074, 2024
强制性开放获取政策： Research Grants Council, Hong Kong
A Framework for Training Large Language Models for Code Generation via Proximal Policy Optimization
C Zhang, G Sheng, S Liu, J Li, Z Feng, Z Liu, X Liu, X Jia, Y Peng, H Lin, ...
NL2Code Workshop of ACM KDD, 2024
强制性开放获取政策： Research Grants Council, Hong Kong
QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devices
J Zhao, B Wan, Y Peng, H Lin, Y Zhu, C Wu
2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2024
强制性开放获取政策： Research Grants Council, Hong Kong
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