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DPU-Direct: Unleashing Remote Accelerators via Enhanced RDMA for Disaggregated Datacenters 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2024, 卷号: 73, 期号: 8, 页码: 2081-2095
作者:  Liao, Yunkun;  Wu, Jingya;  Lu, Wenyan;  Li, Xiaowei;  Yan, Guihai
收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06
Central Processing Unit  Engines  Jitter  Computers  Pipelines  Programming  Encryption  Disaggregated datacenter  SmartNIC  RDMA  hardware accelerator  
CPU-GPU Cooperative QoS Optimization of Personalized Digital Healthcare Using Machine Learning and Swarm Intelligence 期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2024, 卷号: 21, 期号: 4, 页码: 521-533
作者:  Cao, Kun;  Cui, Yangguang;  Li, Liying;  Zhou, Junlong;  Hu, Shiyan
收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06
Electronic healthcare  Quality of service  Graphics processing units  Central Processing Unit  Reliability  Machine learning  Estimation  CPU-GPU MPSoCs  machine learning  lifetime reliability  personalized digital healthcare  swarm intelligence  
MoDSE: A High-Accurate Multiobjective Design Space Exploration Framework for CPU Microarchitectures 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 5, 页码: 1525-1537
作者:  Wang, Duo;  Yan, Mingyu;  Teng, Yihan;  Han, Dengke;  Liu, Xin;  Li, Wenming;  Ye, Xiaochun;  Fan, Dongrui
收藏  |  浏览/下载：3/0  |  提交时间：2024/12/06
Pareto optimization  Predictive models  Measurement  Space exploration  Prediction algorithms  Central Processing Unit  Microarchitecture  CPU microarchitecture  design space exploration (DSE)  multiobjective exploration  Pareto hypervolume  prediction model  
Breaking the Interaction Wall: A DLPU-Centric Deep Learning Computing System 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2022, 卷号: 71, 期号: 1, 页码: 209-222
作者:  Du, Zidong;  Guo, Qi;  Zhao, Yongwei;  Zeng, Xi;  Li, Ling;  Cheng, Limin;  Xu, Zhiwei;  Sun, Ninghui;  Chen, Yunji
收藏  |  浏览/下载：41/0  |  提交时间：2022/06/21
Deep learning  Central Processing Unit  Process control  Task analysis  Computational modeling  Pipelines  Runtime  Neural net accelerators  system architectures  interaction wall  
Toward Efficient Execution of Mainstream Deep Learning Frameworks on Mobile Devices: Architectural Implications 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2021, 卷号: 40, 期号: 3, 页码: 453-466
作者:  Dai, Yuting;  Zhang, Rui;  Xue, Rui;  Liu, Benyong;  Li, Tao
收藏  |  浏览/下载：48/0  |  提交时间：2021/12/01
Deep learning  Mobile handsets  Performance evaluation  Mobile applications  Computational modeling  Quantization (signal)  Central Processing Unit  CPU usage  deep learning (DL)  energy efficiency  microarchitecture  mobile phone  network compression  thermal characterization