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DeepTM: Efficient Tensor Management in Heterogeneous Memory for DNN Training Journal article
Zhou, Haoran, Rang, Wei, Chen, Hongyang, Zhou, Xiaobo, Cheng, Dazhao. DeepTM: Efficient Tensor Management in Heterogeneous Memory for DNN Training[J]. IEEE Transactions on Parallel and Distributed Systems, 2024, 35(11), 1920-1935.
Authors:  Zhou, Haoran;  Rang, Wei;  Chen, Hongyang;  Zhou, Xiaobo;  Cheng, Dazhao
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.6/4.5 | Submit date：2024/08/05
Deep Neural Network Training  Heterogeneous Memory  Memory Management  Performance Optimization  
Redundancy-free and load-balanced TGNN training with hierarchical pipeline parallelism Journal article
Xia, Yaqi, Zhang, Zheng, Yang, Donglin, Hu, Chuang, Zhou, Xiaobo, Chen, Hongyang, Sang, Qianlong, Cheng, Dazhao. Redundancy-free and load-balanced TGNN training with hierarchical pipeline parallelism[J]. IEEE Transactions on Parallel and Distributed Systems, 2024, 35(11), 1904-1919.
Authors:  Xia, Yaqi;  Zhang, Zheng;  Yang, Donglin;  Hu, Chuang;  Zhou, Xiaobo; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.6/4.5 | Submit date：2024/08/05
Communication Balance  Distributed Training  Dynamic Gnn  Pipeline Parallelism  Redundancy-free  
InSS: An Intelligent Scheduling Orchestrator for Multi-GPU Inference with Spatio-Temporal Sharing Journal article
Han, Ziyi, Zhou, Ruiting, Xu, Chengzhong, Zeng, Yifan, Zhang, Renli. InSS: An Intelligent Scheduling Orchestrator for Multi-GPU Inference with Spatio-Temporal Sharing[J]. IEEE Transactions on Parallel and Distributed Systems, 2024, 35(10), 1735-1748.
Authors:  Han, Ziyi;  Zhou, Ruiting;  Xu, Chengzhong;  Zeng, Yifan;  Zhang, Renli
Favorite | TC[WOS]:0 TC[Scopus]:2  IF:5.6/4.5 | Submit date：2024/08/05
Dnn Inference  Gpu Resource Management  Online Scheduling  
Joint Participant and Learning Topology Selection for Federated Learning in Edge Clouds Journal article
Wei, Xinliang, Ye, Kejiang, Shi, Xinghua, Xu, Cheng Zhong, Wang, Yu. Joint Participant and Learning Topology Selection for Federated Learning in Edge Clouds[J]. IEEE Transactions on Parallel and Distributed Systems, 2024, 35(8), 1456-1468.
Authors:  Wei, Xinliang;  Ye, Kejiang;  Shi, Xinghua;  Xu, Cheng Zhong;  Wang, Yu
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:5.6/4.5 | Submit date：2024/07/04
Edge Computing  Federated Learning  Learning Topology  Participant Selection  
MPMoE: Memory Efficient MoE for Pre-Trained Models With Adaptive Pipeline Parallelism Journal article
Zhang, Zheng, Xia, Yaqi, Wang, Hulin, Yang, Donglin, Hu, Chuang, Zhou, Xiaobo, Cheng, Dazhao. MPMoE: Memory Efficient MoE for Pre-Trained Models With Adaptive Pipeline Parallelism[J]. IEEE Transactions on Parallel and Distributed Systems, 2024, 35(6), 843-856.
Authors:  Zhang, Zheng;  Xia, Yaqi;  Wang, Hulin;  Yang, Donglin;  Hu, Chuang; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:5.6/4.5 | Submit date：2024/05/16
Distributed Training  Memory Redundancy  Mixture Of Experts  Performance Model  Pipeline Parallelism  
AutoRS: Environment-Dependent Real-Time Scheduling for End-to-End Autonomous Driving Journal article
Ma, Jialiang, Li, Li, Xu, Chengzhong. AutoRS: Environment-Dependent Real-Time Scheduling for End-to-End Autonomous Driving[J]. IEEE Transactions on Parallel and Distributed Systems, 2023, 34(12), 3238-3252.
Authors:  Ma, Jialiang;  Li, Li;  Xu, Chengzhong
Favorite | TC[WOS]:0 TC[Scopus]:3  IF:5.6/4.5 | Submit date：2024/01/02
Autonomous Driving  Real-time Scheduling  
Cloud Configuration Optimization for Recurring Batch-Processing Applications Journal article
Liu, Yang, Xu, Huanle, Lau, Wing Cheong. Cloud Configuration Optimization for Recurring Batch-Processing Applications[J]. IEEE Transactions on Parallel and Distributed Systems, 2023, 34(5), 1495-1507.
Authors:  Liu, Yang;  Xu, Huanle;  Lau, Wing Cheong
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:5.6/4.5 | Submit date：2023/06/05
Big Data Analytics  Cloud Configuration  Gaussian-process Ucb  Kubernetes  
An In-depth Study of Microservice Call Graph and Runtime Performance Journal article
Luo, Shutian, Xu, Huanle, Lu, Chengzhi, Ye, Kejiang, Xu, Guoyao, Zhang, Liping, He, Jian, Xu, Cheng Zhong. An In-depth Study of Microservice Call Graph and Runtime Performance[J]. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2022, 33(12), 3901-3914.
Authors:  Luo, Shutian;  Xu, Huanle;  Lu, Chengzhi;  Ye, Kejiang;  Xu, Guoyao; et al.
Favorite | TC[WOS]:28 TC[Scopus]:34  IF:5.6/4.5 | Submit date：2022/08/05
Trace Analysis  Microservice  Performance Characterization  
The State of the Art of Metadata Managements in Large-Scale Distributed File Systems Scalability, Performance and Availability Journal article
Hao Dai, Yang Wang, Kenneth B. Kent, Lingfang Zeng, Chengzhong Xu. The State of the Art of Metadata Managements in Large-Scale Distributed File Systems Scalability, Performance and Availability[J]. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2022, 33(12), 3850-3869.
Authors:  Hao Dai;  Yang Wang;  Kenneth B. Kent;  Lingfang Zeng;  Chengzhong Xu
Favorite | TC[WOS]:7 TC[Scopus]:7  IF:5.6/4.5 | Submit date：2022/05/17
High-availability  High-performance  High-scalability  Large-scale Distributed File System  Metadata Management  
Overlapping Communication with Computation in Parameter Server for Scalable DL Training Journal article
Wang,Shaoqi, Pi,Aidi, Zhou,Xiaobo, Wang,Jun, Xu,Cheng Zhong. Overlapping Communication with Computation in Parameter Server for Scalable DL Training[J]. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2021, 32(9), 2144-2159.
Authors:  Wang,Shaoqi;  Pi,Aidi;  Zhou,Xiaobo;  Wang,Jun;  Xu,Cheng Zhong
Favorite | TC[WOS]:19 TC[Scopus]:20  IF:5.6/4.5 | Submit date：2021/05/31
Backward Computation  Forward Computation  Gradient Communication  Parameter Communication  Parameter Server