咨询与建议

限定检索结果

文献类型

  • 509 篇 会议
  • 191 篇 期刊文献
  • 2 册 图书

馆藏范围

  • 702 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 459 篇 工学
    • 353 篇 计算机科学与技术...
    • 258 篇 软件工程
    • 86 篇 信息与通信工程
    • 58 篇 电子科学与技术(可...
    • 53 篇 控制科学与工程
    • 35 篇 机械工程
    • 35 篇 生物工程
    • 28 篇 电气工程
    • 18 篇 仪器科学与技术
    • 16 篇 动力工程及工程热...
    • 11 篇 土木工程
    • 10 篇 材料科学与工程(可...
    • 10 篇 网络空间安全
    • 8 篇 化学工程与技术
    • 8 篇 农业工程
    • 8 篇 环境科学与工程(可...
    • 7 篇 交通运输工程
    • 6 篇 光学工程
  • 168 篇 理学
    • 101 篇 数学
    • 36 篇 生物学
    • 29 篇 系统科学
    • 25 篇 物理学
    • 24 篇 统计学(可授理学、...
    • 11 篇 化学
  • 120 篇 管理学
    • 81 篇 管理科学与工程(可...
    • 42 篇 图书情报与档案管...
    • 23 篇 工商管理
  • 13 篇 经济学
    • 13 篇 应用经济学
  • 13 篇 法学
    • 11 篇 社会学
  • 9 篇 农学
    • 8 篇 作物学
  • 3 篇 教育学
  • 3 篇 文学
  • 3 篇 医学
  • 3 篇 军事学
  • 1 篇 艺术学

主题

  • 32 篇 computational mo...
  • 22 篇 training
  • 19 篇 benchmark testin...
  • 18 篇 fault tolerance
  • 18 篇 distributed proc...
  • 18 篇 feature extracti...
  • 17 篇 kernel
  • 16 篇 computer archite...
  • 16 篇 semantics
  • 15 篇 deep learning
  • 15 篇 concurrent compu...
  • 15 篇 laboratories
  • 14 篇 servers
  • 14 篇 hardware
  • 13 篇 algorithm design...
  • 13 篇 cloud computing
  • 12 篇 parallel process...
  • 12 篇 graphics process...
  • 12 篇 optimization
  • 12 篇 protocols

机构

  • 112 篇 college of compu...
  • 81 篇 national laborat...
  • 77 篇 science and tech...
  • 47 篇 national laborat...
  • 35 篇 school of comput...
  • 30 篇 national laborat...
  • 22 篇 science and tech...
  • 22 篇 national key lab...
  • 18 篇 national key lab...
  • 18 篇 national laborat...
  • 16 篇 national laborat...
  • 14 篇 national laborat...
  • 13 篇 science and tech...
  • 13 篇 school of comput...
  • 12 篇 national key lab...
  • 11 篇 science and tech...
  • 11 篇 national key lab...
  • 10 篇 national laborat...
  • 10 篇 national key lab...
  • 10 篇 national key lab...

作者

  • 32 篇 dongsheng li
  • 28 篇 yijie wang
  • 28 篇 wang yijie
  • 26 篇 li dongsheng
  • 25 篇 wang huaimin
  • 21 篇 huaimin wang
  • 20 篇 zhigang luo
  • 18 篇 naiyang guan
  • 18 篇 peng yuxing
  • 16 篇 yuxing peng
  • 14 篇 dou yong
  • 14 篇 liu jie
  • 14 篇 ji wang
  • 14 篇 yin gang
  • 13 篇 wang ji
  • 13 篇 ding bo
  • 13 篇 jie liu
  • 12 篇 xiang zhang
  • 12 篇 lai zhiquan
  • 11 篇 zhiquan lai

语言

  • 657 篇 英文
  • 42 篇 中文
  • 3 篇 其他
检索条件"机构=National Laboratory for Parallel and Distributed Processing College of Computer"
702 条 记 录,以下是71-80 订阅
排序:
Why do they ask? An exploratory study of crowd discussions about Android application programming interface in stack overflow
收藏 引用
Journal of Central South University 2019年 第9期26卷 2432-2446页
作者: FAN Qiang WANG Tao YANG Cheng YIN Gang YU Yue WANG Huai-min National Laboratory for Parallel and Distributed Processing College of Computer ChangshaChangsha 410073China
Nowadays,more and more Android developers prefer to seek help from Q&A website like Stack Overflow,despite the rich official *** researches have studied the limitations of the official application programming inte... 详细信息
来源: 评论
distributed sparse bundle adjustment algorithm based on three-dimensional point partition and asynchronous communication
收藏 引用
Frontiers of Information Technology & Electronic Engineering 2018年 第7期19卷 889-904页
作者: Xiao-long SHEN Yong DOU Steven MILLS David M EYERS Huan FENG Zhiyi HUANG College of Computer National University of Defense Technology Science and Technology on Parallel and Distributed Laboratory National University of Defense Technology Department of Computer Science University of Otago Department of Computer Science Tsinghua University
Sparse bundle adjustment(SBA) is a key but time-and memory-consuming step in three-dimensional(3 D) reconstruction. In this paper, we propose a 3 D point-based distributed SBA algorithm(DSBA) to improve the speed and ... 详细信息
来源: 评论
Recent advances on trusted computing in China
收藏 引用
Chinese Science Bulletin 2012年 第35期57卷 4529-4532页
作者: DONG Wei CHEN LiQian School of Computer National University of Defense TechnologyChangsha 410073China National Laboratory for Parallel and Distributed Processing Changsha 410073China
This article highlights some recent research advances on trusted computing in China,focusing mainly on the methodologies and technologies related to trusted computing module,trusted computing platform,trusted network ... 详细信息
来源: 评论
Detecting Duplicate Contributions in Pull-Based Model CombiningTextual and Change Similarities
收藏 引用
Journal of computer Science & Technology 2021年 第1期36卷 191-206页
作者: Zhi-Xing Li Yue Yu Tao Wang Gang Yin Xin-Jun Mao Huai-Min Wang Key Laboratory of Parallel and Distributed Computing College of ComputerNational University of Defense Technology Changsha 410073China Laboratory of Software Engineering for Complex Systems College of ComputerNational University of Defense TechnologyChangsha 410073China
Communication and coordination between OSS developers who do not work physically in the same location have always been the challenging *** pull-based development model,as the state-of-art collaborative development mec... 详细信息
来源: 评论
Improving vertex-frontier based GPU breadth-first search
收藏 引用
Journal of Central South University 2014年 第10期21卷 3828-3836页
作者: 杨博 卢凯 高颖慧 徐凯 王小平 程志权 Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology College of Computer National University of Defense Technology Department of Electronic Science and Engineering National University of Defense Technology Avatar Science Company
Breadth-first search(BFS) is an important kernel for graph traversal and has been used by many graph processing applications. Extensive studies have been devoted in boosting the performance of BFS. As the most effecti... 详细信息
来源: 评论
Learning from internet: Handling uncertainty in robotic environment modeling  17
Learning from internet: Handling uncertainty in robotic envi...
收藏 引用
9th Asia-Pacific Symposium on Internetware, Internetware 2017
作者: Li, Yiying Wang, Huaimin Ding, Bo Che, Huimin National Key Laboratory of Parallel and Distributed Processing College of Computer National University of Defense Technology ChangSha China
Uncertainty is a great challenge for environment perception of autonomous robots. For instance, while building semantic maps (i.e., maps with semantic labels such as object names), the robot may encounter unexpected o... 详细信息
来源: 评论
CD-Sched: An Automated Scheduling Framework for Accelerating Neural Network Training on Shared Memory CPU-DSP Platforms
CD-Sched: An Automated Scheduling Framework for Accelerating...
收藏 引用
2023 International Conference on Power, Communication, Computing and Networking Technologies, PCCNT 2023
作者: Xiao, Yuanyuan Lai, Zhiquan Li, Dongsheng National Key Laboratory of Parallel and Distributed Processing Computer College National University of Defense Technology Changsha China
DSP holds significant potential for important applications in Deep Neural Networks. However, there is currently a lack of research focused on shared-memory CPU-DSP heterogeneous chips. This paper proposes CD-Sched, an... 详细信息
来源: 评论
Detecting duplicate pull-requests in GitHub  17
Detecting duplicate pull-requests in GitHub
收藏 引用
9th Asia-Pacific Symposium on Internetware, Internetware 2017
作者: Li, Zhixing Yin, Gang Yu, Yue Wang, Tao Wang, Huaimin National Laboratory for Parallel and Distributed Processing College of Computer National University of Defense Technology Changsha410073 China
The widespread use of pull-requests boosts the development and evolution for many open source software projects. However, due to the parallel and uncoordinated nature of development process in GitHub, duplicate pull-r... 详细信息
来源: 评论
Deep Learning-based Cooperative Trail Following for Multi-Robot System
Deep Learning-based Cooperative Trail Following for Multi-Ro...
收藏 引用
2018 International Joint Conference on Neural Networks, IJCNN 2018
作者: Geng, Mingyang Li, Yiying Ding, Bo Wang, And Huaimin National Key Laboratory of Parallel and Distributed Processing College of Computer National University of Defense Technology ChangSha China
Following trails in the wild is an essential capability of out-door autonomous mobile robots. Recently, deep learningbased approaches have made great advancements in this field. However, the existing research only foc... 详细信息
来源: 评论
Accelerating Sample-based GNN Training by Feature Caching on GPUs  7
Accelerating Sample-based GNN Training by Feature Caching on...
收藏 引用
7th IEEE International Conference on Smart Cloud, SmartCloud 2022
作者: He, Yuqi Lai, Zhiquan Ran, Zhejiang Zhang, Lizhi Li, Dongsheng National University of Defense Technology National Key Laboratory of Parallel and Distributed Processing College of Computer Changsha China
The existing graph neural network (GNN) systems adopt sample-based training on large-scale graphs over multiple GPUs. Although they support large-scale graph training, large data loading overhead is still a bottleneck... 详细信息
来源: 评论