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检索条件"机构=Science and Technology on Parallel and Distributed Laboratory"
538 条 记 录,以下是281-290 订阅
排序:
Efficient distributed Data Clustering on Spark
Efficient Distributed Data Clustering on Spark
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IEEE International Conference on Cluster Computing
作者: Jia Li Dongsheng Li Yiming Zhang National Laboratory for Parallel and Distributed Processing School of Computer Science National University of Defense Technology Changsha China
Data clustering is usually time-consuming since it by default needs to iteratively aggregate and process large volume of data. Approximate aggregation based on sample provides fast and quality ensured results. In this... 详细信息
来源: 评论
Implicit Neural Alignment Network for Arbitrary-scale Space-Time Video Super-Resolution
Implicit Neural Alignment Network for Arbitrary-scale Space-...
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International Joint Conference on Neural Networks (IJCNN)
作者: Qin Jiang Qinglin Wang Lihua Chi Jie Liu Science and Technology on Parallel and Distributed Processing Laboratory Laboratory of Digitizing Software for Frontier Equipment Hunan GuoKe Computility Technology Co. Ltd
Space-time video super-resolution (STVSR) is a comprehensive task comprising two subtasks: video super resolution in space dimension and video frame interpolation in time dimension. Conventional decoupled two-stage ap... 详细信息
来源: 评论
Image Annotation by Object Hypotheses-oriented Deep Neural Networks
Image Annotation by Object Hypotheses-oriented Deep Neural N...
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2017 2nd International Conference on Software, Multimedia and Communication Engineering(SMCE 2017)
作者: Fang MA Shao-he LV Ke-xin ZHENG Chi JIN Fei CHEN Ke YANG and Yong DOU National Laboratory for Parallel and Distributed Processing National University of Defense Technology University of South China School of Computer Science and Technology
Image annotation generates a set of semantic labels that describe the contents of an input *** deep learning techniques have achieved significant success in many areas of image *** this paper,we present a multi-label ... 详细信息
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DRAM failure prediction in AIOps: Empirical evaluation, challenges and opportunities
arXiv
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arXiv 2021年
作者: Wu, Zhiyue Xu, Hongzuo Pang, Guansong Yu, Fengyuan Wang, Yijie Jian, Songlei Wang, Yongjun Science and Technology on Parallel and Distributed Processing Laboratory College of Computer National University of Defense Technology China University of Adelaide Australia
DRAM failure prediction is a vital task in AIOps, which is crucial to maintain the reliability and sustainable service of large-scale data centers. However, limited work has been done on DRAM failure prediction mainly... 详细信息
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Optimization techniques of on-chip memory system based on UltraSPARC architecture
Optimization techniques of on-chip memory system based on Ul...
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Asia Pacific Conference on Postgraduate Research in Microelectronics & Electronics (PrimeAsia)
作者: Anwen Huang Jun Gao Chaochao Feng Minxuan Zhang Key Laboratory of Science and Technology of National Defense of Parallel and Distributed Processing School of Computer Science National University of Defense Technology Changsha China
It is of great significance to optimize the design of on-chip memory system for improving the performance of multi-core processor. This paper describes the organization of on-chip memory hierarchy in UltraSPARC T2, an... 详细信息
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Optimizing Batched Small Matrix Multiplication on Multi-core DSP Architecture  22
Optimizing Batched Small Matrix Multiplication on Multi-core...
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22nd IEEE International Symposium on parallel and distributed Processing with Applications, ISPA 2024
作者: Zuo, Xiaohan Xiao, Chunhua Wang, Qinglin Shi, Chen Chongqing University College of Computer Science Chongqing China Ministry of Education Key Laboratory of Dependable Service Computing in Cyber Physical Society China National University of Defense Technology National Key Laboratory of Parallel and Distributed Computing Changsha410073 China National University of Defense Technology Laboratory of Digitizing Software for Frontier Equipment Changsha410073 China
General Matrix Multiplication (GEMM) is a critical computational operation in scientific computing and machine learning domains. While traditional GEMM performs well on large matrices, it is inefficient in terms of da... 详细信息
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Versatile Stack Management for Multitasking Sensor Networks
Versatile Stack Management for Multitasking Sensor Networks
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IEEE International Conference on distributed Computing Systems
作者: Rui Chu Lin Gu Yunhao Liu Mo Li Xicheng Lu National Laboratory for Parallel and Distributed Processing National University of Defense Technology Department of Computer Science and Engineering Hong Kong University of Science and Technology
The networked application environment has motivated the development of multitasking operating systems for sensor networks and other low-power electronic devices, but their multitasking capability is severely limited b... 详细信息
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The prediction model based on RBF network in achieving elastic cloud
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Advances in Information sciences and Service sciences 2011年 第11期3卷 67-78页
作者: Shi, Peichang Wang, Huaimin Ding, Bo Liu, Ran Wang, Tianzuo National Laboratory for Parallel and Distributed Processing School of Computer and Science National University of Defense Technology China Department of Electronics and Information Engineering Huazhong University of Science Technology China
Cloud needs to have rapid and elastic resources supply capability, because of the fluctuant resources demand of end-users. Multi-scale resources elastic binding is an important method to provide cloud services with ra... 详细信息
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Locality-sensitive sketching for resilient network flow monitoring
arXiv
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arXiv 2019年
作者: Fu, Yongquan Li, Dongsheng Shen, Siqi Zhang, Yiming Chen, Kai Science and Technology Laboratory of Parallel and Distributed Processing College of Computer Science National University of Defense Technology SING Lab Hong Kong University of Science and Technology
Network monitoring is vital in modern clouds and data center networks for traffic engineering, network diagnosis, network intrusion detection, which need diverse traffic statistics ranging fromflow size distributions ... 详细信息
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Fast query over encrypted data based on B+ tree
Fast query over encrypted data based on B+ tree
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2009 International Conference on Apperceiving Computing and Intelligence Analysis, ICACIA 2009
作者: Wang, Zheng-Fei Tang, Ai-Guo Wang, Wei Department of Computer Hunan Business College Changsha 410205 China National Key Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha 410073 China School of Computer Science Fudan University Shanghai 200433 China
There are a lot of important and sensitive data in databases, which need to be protected from attacks. To secure the data, Cryptography support is an effective mechanism. However, a tradeoff must be made between the p... 详细信息
来源: 评论