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检索条件"机构=Science and technology on Parallel and distributed processing laboratory"
1121 条 记 录,以下是901-910 订阅
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Density estimation with adaptive sparse grids for large data sets  14
Density estimation with adaptive sparse grids for large data...
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14th SIAM International Conference on Data Mining, SDM 2014
作者: Peherstorfer, Benjamin Pflüger, Dirk Bungartz, Hans-Joachim Aerospace Computational Design Laboratory AeroAstro Massachusetts Institute of Technology United States Simulation of Large Systems Group Institute for Parallel and Distributed Systems University of Stuttgart Germany Scientific Computing Group Department of Computer Science Technische Universität München Germany
Nonparametric density estimation is a fundamental problem of statistics and data mining. Even though kernel density estimation is the most widely used method, its performance highly depends on the choice of the kernel... 详细信息
来源: 评论
Mining Software Profile across Multiple Repositories for Hierarchical Categorization
Mining Software Profile across Multiple Repositories for Hie...
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International Conference on Software Maintenance (ICSM)
作者: Tao Wang Huaimin Wang Gang Yin Charles X. Ling Xiang Li Peng Zou National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha China Department of Computer Science The University of Western Ontario London Ontario Canada Academy of Equipment Beijing China
The large amounts of software repositories over the Internet are fundamentally changing the traditional paradigms of software maintenance. Efficient categorization of the massive projects for retrieving the relevant s... 详细信息
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An efficient local address generation for the block-cyclic distribution
An efficient local address generation for the block-cyclic d...
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IEEE International Conference on Algorithms and Architectures for parallel processing (ICAP)
作者: Oh-Young Kwon Tae-Geun Kim Tack-Don Han Sung-Bong Yang Shin-Dug Kim Distributed Computing Laboratory Systems Engineering Research Institute Taejon South Korea Parallel Processing System Laboratory Department of Computer Science Yonsei University Seoul South Korea
In order to generate local addresses for an array section A(l:h:s) with block-cyclic distribution, an efficient compiling method is required. In this paper, two local address generation methods for the block-cyclic di... 详细信息
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Vision-Language Navigation: A Survey and Taxonomy
arXiv
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arXiv 2021年
作者: Wu, Wansen Chang, Tao Li, Xinmeng Yin, Quanjun Zhu, Jiancheng The College of Systems Engineering National University of Defense Technology Hunan Changsha410073 China National Key Laboratory of Parallel and Distributed Processing College of Computer Science and Technology National University of Defence Technology Changsha410073 China
Vision-Language Navigation (VLN) tasks require an agent to follow human language instructions to navigate in previously unseen environments. This challenging field involving problems in natural language processing, co... 详细信息
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PCGraph: Accelerating GNN Inference on Large Graphs via Partition Caching
PCGraph: Accelerating GNN Inference on Large Graphs via Part...
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IEEE International Conference on Big Data and Cloud Computing (BdCloud)
作者: Lizhi Zhang Zhiquan Lai Yu Tang Dongsheng Li Feng Liu Xiaochun Luo National Laboratory for Parallel and Distributed Processing (PDL) Computer College National University of Defence Technology Changsha China PLA News Media Center Beijing China
Graph neural networks (GNNs) have been emerging as powerful learning tools for unstructured data and successfully applied to many graph-based application domains. Sampling-based GNN inference is commonly adopted in ex... 详细信息
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OLM2: Automatic Optimal Strategy Generating for Large-Scale Model Training with Limited-Memory
OLM2: Automatic Optimal Strategy Generating for Large-Scale ...
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IEEE International Conference on Joint Cloud Computing (JCC)
作者: Zhilin Yang Yu Tang Linbo Qiao Xi Yang Zhen Huang National Key Laboratory of Parallel and Distributed Computing College of Computer Science National University of Defense Technology Changsha 410073 China
The scale of model parameters and the amount of training data is exponentially increasing. It requires more GPU memory with the exponential increasement of model parameters. Recomputation and swapping are two main mem...
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An effective control scheme to ensure real-time causal order in large-scale distributed interactive simulations
An effective control scheme to ensure real-time causal order...
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International Conference on Communication Software and Networks, ICCSN
作者: Hangjun Zhou Sha Fu Key Laboratory of Science and Technology for National Defence of Parallel and Distributed Processing School of Computer Science National University of Defense Technology Changsha Hunan China Department of Information Management Hunan University of Finance and Economics Changsha Hunan China
When a large-scale distributed interactive simulation system is running on WAN, the sites usually disperse over a wide area in geography, which results in the simulation clock of each site is hardly to be accurately s... 详细信息
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Towards a multi-array architecture for accelerating large-scale matrix multiplication on FPGAs
arXiv
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arXiv 2018年
作者: Shen, Junzhong Qiao, Yuran Huang, You Wen, Mei Zhang, Chunyuan College of Computer National University of Defense Technology Changsha410073 China National Key Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha410073 China
Large-scale floating-point matrix multiplication is a fundamental kernel in many scientific and engineering applications. Most existing work only focus on accelerating matrix multiplication on FPGA by adopting a linea... 详细信息
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Deep Discriminative Clustering Network
Deep Discriminative Clustering Network
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International Joint Conference on Neural Networks
作者: Xuying Shao Keshi Ge Huayou Su Lei Luo Baoyun Peng Dongsheng Li Science and Technology on Parallel and Distributed Laboratory National University of Defense Technology Changsha China College of Computer National University of Defense Technology Changsha China
Deep clustering aims to cluster unlabeled data by embedding them into a subspace based on deep model. The key challenge of deep clustering is to learn discriminative representations for input data with high dimensions... 详细信息
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A peak performance model for Matrix multiplication on general-purpose DSP
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Hunan Daxue Xuebao/Journal of Hunan University Natural sciences 2013年 第11 SUPPL.期40卷 148-152页
作者: Liu, Jie Chi, Li-Hua Xie, Lin-Chuan Wang, Yang Gan, Xin-Biao Feng, Hua Hu, Qing-Feng Science and Technology on Parallel and Distributed Processing Laboratory National Univ of Defense Technology Changsha Hunan 410073 China
DSP processor can be used to solve the high performance computation problems, which has the characteristics of high computing performance and low power. Matrix multiplication algorithm is the kernel of many scientific... 详细信息
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