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无权访问的条目 学位论文
作者:  蒲宇宁
Adobe PDF(4620Kb)  |  收藏  |  浏览/下载：2/1  |  提交时间：2016/07/01
RTIFed: A Reputation based Triple-step Incentive mechanism for energy-aware Federated learning over battery-constricted devices 期刊论文
COMPUTER NETWORKS, 2024, 卷号: 241, 页码: 14
作者:  Wen, Tian;  Zhang, Hanqing;  Zhang, Han;  Wu, Huixin;  Wang, Danxin;  Liu, Xiuwen;  Zhang, Weishan;  Wang, Yuwei;  Cao, Shaohua
收藏  |  浏览/下载：11/0  |  提交时间：2024/05/20
Federated learning  Incentive mechanism  Energy efficiency  Client activation  Stackelberg game  
A Coordinated Model Pruning and Mapping Framework for RRAM-Based DNN Accelerators 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 7, 页码: 2364-2376
作者:  Qu, Songyun;  Li, Bing;  Zhao, Shixin;  Zhang, Lei;  Wang, Ying
收藏  |  浏览/下载：11/0  |  提交时间：2023/12/04
AutoML  bit-pruning  deep neural networks (DNNs)  resistive random access memory (RRAM)  
Variation Enhanced Attacks Against RRAM-Based Neuromorphic Computing System 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 5, 页码: 1588-1596
作者:  Lv, Hao;  Li, Bing;  Zhang, Lei;  Liu, Cheng;  Wang, Ying
收藏  |  浏览/下载：11/0  |  提交时间：2023/12/04
Security  Hardware  Neuromorphic engineering  Computational modeling  Circuit faults  Resistance  Immune system  Adversarial attack  fault injection attack  neuromorphic computing system (NCS)  processing in memory  reliability  resistive memory  
Optimizing Training Efficiency and Cost of Hierarchical Federated Learning in Heterogeneous Mobile-Edge Cloud Computing 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 5, 页码: 1518-1531
作者:  Cui, Yangguang;  Cao, Kun;  Zhou, Junlong;  Wei, Tongquan
收藏  |  浏览/下载：11/0  |  提交时间：2023/12/04
Training  Servers  Cloud computing  Delays  Costs  Computational modeling  Prototypes  Device frequency determination  federated learning (FL)  high efficiency  low cost  mobile-edge cloud computing (MECC)  user selection  
Fine-Grained CPU Power Management Based on Digital Frequency Divider 期刊论文
ELECTRONICS, 2023, 卷号: 12, 期号: 2, 页码: 18
作者:  Jia, Fan;  Zhang, Longbing
收藏  |  浏览/下载：16/0  |  提交时间：2023/07/12
power management  workloads sensing  critical path of memory access  DVFS  digital frequency divider  
Multi-Node Acceleration for Large-Scale GCNs 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2022, 卷号: 71, 期号: 12, 页码: 3140-3152
作者:  Sun, Gongjian;  Yan, Mingyu;  Wang, Duo;  Li, Han;  Li, Wenming;  Ye, Xiaochun;  Fan, Dongrui;  Xie, Yuan
收藏  |  浏览/下载：31/0  |  提交时间：2023/07/12
Deep learning  graph neural network  hardware accelerator  multi-node system  communication optimization  
EALI: Energy-aware layer-level scheduling for convolutional neural network inference services on GPUs 期刊论文
NEUROCOMPUTING, 2022, 卷号: 507, 页码: 265-281
作者:  Yao, Chunrong;  Liu, Wantao;  Liu, Zhibing;  Yan, Longchuan;  Hu, Songlin;  Tang, Weiqing
收藏  |  浏览/下载：32/0  |  提交时间：2022/12/07
Scheduling  Convolutional neural networks (CNNs)  GPUs  Service-level-objective (SLO)  Energy minimization  Inference services  
Saving Energy of RRAM-Based Neural Accelerator Through State-Aware Computing 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 7, 页码: 2115-2127
作者:  He, Yintao;  Wang, Ying;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：32/0  |  提交时间：2022/12/07
Computer architecture  Microprocessors  Resistance  Power demand  Training  Biological neural networks  Optimization  Low power (LP)  neural networks  processing-in-memory  resistive random-access memory (RRAM)  
CAP: Communication-Aware Automated Parallelization for Deep Learning Inference on CMP Architectures 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2022, 卷号: 71, 期号: 7, 页码: 1626-1639
作者:  Zou, Kaiwei;  Wang, Ying;  Cheng, Long;  Qu, Songyun;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：34/0  |  提交时间：2022/12/07
Kernel  Computer architecture  Multicore processing  Deep learning  System-on-chip  Parallel processing  Real-time systems  Neural networks  parallel processing  real-time and embedded systems  single-chip multiprocessors  reinforcement learning  structured sparsity