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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  
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  
AntiFormer: graph enhanced large language model for binding affinity prediction Journal article
Wang, Qing, Feng, Yuzhou, Wang, Yanfei, Li, Bo, Wen, Jianguo, Zhou, Xiaobo, Song, Qianqian. AntiFormer: graph enhanced large language model for binding affinity prediction[J]. Briefings in Bioinformatics, 2024, 25(5), bbae403.
Authors:  Wang, Qing;  Feng, Yuzhou;  Wang, Yanfei;  Li, Bo;  Wen, Jianguo; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:6.8/7.9 | Submit date：2024/09/03
Antibody Binding Affinity  Antibody Maturation  Large Language Model  Single-cell Bcr  
Heterogeneity-aware Proactive Elastic Resource Allocation for Serverless Applications Journal article
Feng, Binbin, Ding, Zhijun, Zhou, Xiaobo, Jiang, Changjun. Heterogeneity-aware Proactive Elastic Resource Allocation for Serverless Applications[J]. IEEE Transactions on Services Computing, 2024, 17(5), 2473-2487.
Authors:  Feng, Binbin;  Ding, Zhijun;  Zhou, Xiaobo;  Jiang, Changjun
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:5.5/5.9 | Submit date：2024/05/16
Instance Allocation  Numa  Resource Estimation  Server Scaling  Serverless  Workflow  Workload Prediction  
Raptor-T: A Fused and Memory-Efficient Sparse Transformer for Long and Variable-Length Sequences Journal article
Wang, Hulin, Yang, Donglin, Xia, Yaqi, Zhang, Zheng, Wang, Qigang, Fan, Jianping, Zhou, Xiaobo, Cheng, Dazhao. Raptor-T: A Fused and Memory-Efficient Sparse Transformer for Long and Variable-Length Sequences[J]. IEEE TRANSACTIONS ON COMPUTERS, 2024, 73(7), 1852-1865.
Authors:  Wang, Hulin;  Yang, Donglin;  Xia, Yaqi;  Zhang, Zheng;  Wang, Qigang; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:3.6/3.2 | Submit date：2024/05/16
Sparse Transformer  Inference Acceleration  Gpu  Deep Learning  Memory Optimization  Resource Management  
Expeditious High-Concurrency MicroVM SnapStart in Persistent Memory with an Augmented Hypervisor Conference paper
XINGGUO PANG, YANZE ZHANG, LIU LIU, DAZHAO CHENG, CHENG-ZHONG XU, XIAOBO ZHOU. Expeditious High-Concurrency MicroVM SnapStart in Persistent Memory with an Augmented Hypervisor[C]:USENIX Association, 2024, 985-998.
Authors:  XINGGUO PANG;  YANZE ZHANG;  LIU LIU;  DAZHAO CHENG;  CHENG-ZHONG XU; et al.
Adobe PDF | Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/08/10
A unified hybrid memory system for scalable deep learning and big data applications Journal article
Rang, Wei, Liang, Huanghuang, Wang, Ye, Zhou, Xiaobo, Cheng, Dazhao. A unified hybrid memory system for scalable deep learning and big data applications[J]. Journal of Parallel and Distributed Computing, 2024, 186, 104820.
Authors:  Rang, Wei;  Liang, Huanghuang;  Wang, Ye;  Zhou, Xiaobo;  Cheng, Dazhao
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:3.4/3.4 | Submit date：2024/05/02
Data Placement And Migration  Dnn Applications  Hybrid Memory System  Nvm  Unified Memory Management  
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  
Locality-aware and Fault-tolerant Batching for Machine Learning on Distributed Datasets Journal article
Liu, Liu, Ding, Zhijun, Cheng, Dazhao, Zhou, Xiaobo. Locality-aware and Fault-tolerant Batching for Machine Learning on Distributed Datasets[J]. IEEE Transactions on Cloud Computing, 2024, 12(2), 370-387.
Authors:  Liu, Liu;  Ding, Zhijun;  Cheng, Dazhao;  Zhou, Xiaobo
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.3/4.6 | Submit date：2024/05/16
Adaptation Models  Byzantine Gradient  Computational Modeling  Data Models  Distributed Databases  Distributed Dataset  Graphics Processing Units  Load Management  Machine Learning Training  Straggler  Training  
Incendio: Priority-based Scheduling for Alleviating Cold Start in Serverless Computing Journal article
Cai, Xinquan, Sang, Qianlong, Hu, Chuang, Gong, Yili, Suo, Kun, Zhou, Xiaobo, Cheng, Dazhao. Incendio: Priority-based Scheduling for Alleviating Cold Start in Serverless Computing[J]. IEEE Transactions on Computers, 2024, 73(7), 1780-1794.
Authors:  Cai, Xinquan;  Sang, Qianlong;  Hu, Chuang;  Gong, Yili;  Suo, Kun; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:3.6/3.2 | Submit date：2024/05/16
Serverless Computing  Cold Start  Priority  Prediction  Scheduling  In-memory Computing  Distributed Systems