中文版 | English

在结果中检索

CSpace

浏览/检索结果: 共14条，第1-10条 帮助

已选(0)清除 条数/页：   排序方式：
FastTuning: Enabling Fast and Efficient Hyper-Parameter Tuning With Partitioning and Parallelism of Search Space 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2024, 卷号: 35, 期号: 7, 页码: 1174-1188
作者:  Li, Xiaqing;  Guo, Qi;  Zhang, Guangyan;  Ye, Siwei;  He, Guanhua;  Yao, Yiheng;  Zhang, Rui;  Hao, Yifan;  Du, Zidong;  Zheng, Weimin
收藏  |  浏览/下载：7/0  |  提交时间：2024/12/06
Deep learning  distributed hyper-parameter tuning (HPT) system  parallel computing  
Scheduling of Real-Time Wireless Flows: A Comparative Study of Centralized and Decentralized Reinforcement Learning Approaches 期刊论文
IEEE-ACM TRANSACTIONS ON NETWORKING, 2024, 页码: 16
作者:  Wang, Qi;  Huang, Jianhui;  Xu, Yongjun
收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06
Scheduling  timely-throughput  deep reinforcement learning  real-time wireless networks  distributed system  
Knowledge Distillation for Travel Time Estimation 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 页码: 12
作者:  Zhang, Haichao;  Zhao, Fang;  Wang, Chenxing;  Luo, Haiyong;  Xiong, Haoyu;  Fang, Yuchen
收藏  |  浏览/下载：10/0  |  提交时间：2024/05/20
Computational modeling  Trajectory  Roads  Global Positioning System  Predictive models  Estimation  Context modeling  Spatial-travel time estimation  temporal data mining  knowledge distillation  deep learning  
Res-EMSA: Adaptive Adjustment of Innovation Based on Efficient Multihead Self-Attention in GNSS/INS Tightly Integrated Navigation System 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2024, 卷号: 21, 页码: 5
作者:  Xu, Hongfu;  Luo, Haiyong;  Wu, Zijian;  Zhao, Fang
收藏  |  浏览/下载：12/0  |  提交时间：2024/05/20
Technological innovation  Global navigation satellite system  Navigation  Feature extraction  Adaptation models  Measurement uncertainty  Kalman filters  Deep learning  extended Kalman filter (EKF)  innovation matrix  integrated navigation  
An Application-oblivious Memory Scheduling System for DNN Accelerators 期刊论文
ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 2022, 卷号: 19, 期号: 4, 页码: 26
作者:  Li, Jiansong;  Wang, Xueying;  Chen, Xiaobing;  Li, Guangli;  Dong, Xiao;  Zhao, Peng;  Yu, Xianzhi;  Yang, Yongxin;  Cao, Wei;  Liu, Lei;  Feng, Xiaobing
收藏  |  浏览/下载：22/0  |  提交时间：2023/07/12
Deep learning  memory scheduling  runtime system  DNN accelerators  
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：36/0  |  提交时间：2023/07/12
Deep learning  graph neural network  hardware accelerator  multi-node system  communication optimization  
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：38/0  |  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  
Fine-Grained Trajectory-Based Travel Time Estimation for Multi-City Scenarios Based on Deep Meta-Learning 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 13
作者:  Wang, Chenxing;  Zhao, Fang;  Zhang, Haichao;  Luo, Haiyong;  Qin, Yanjun;  Fang, Yuchen
收藏  |  浏览/下载：28/0  |  提交时间：2022/12/07
Estimation  Trajectory  Task analysis  Urban areas  Roads  Data models  Global Positioning System  Spatial-temporal data mining  travel time estimation  meta learning  deep learning  
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  
Cooperatively Improving Data Center Energy Efficiency Based on Multi-Agent Deep Reinforcement Learning 期刊论文
ENERGIES, 2021, 卷号: 14, 期号: 8, 页码: 32
作者:  Chi, Ce;  Ji, Kaixuan;  Song, Penglei;  Marahatta, Avinab;  Zhang, Shikui;  Zhang, Fa;  Qiu, Dehui;  Liu, Zhiyong
收藏  |  浏览/下载：44/0  |  提交时间：2021/12/01
data center  energy efficiency  deep reinforcement learning  multi-agent  scheduling algorithm  cooling system