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检索条件"机构=Laboratory for Parallel and Distributed Processing"
1115 条 记 录,以下是21-30 订阅
排序:
Accelerating Sample-based GNN Training by Feature Caching on GPUs  7
Accelerating Sample-based GNN Training by Feature Caching on...
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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
YFLM: An Improved Levenberg-Marquardt Algorithm for Global Bundle Adjustment  41st
YFLM: An Improved Levenberg-Marquardt Algorithm for Global ...
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41st Computer Graphics International Conference, CGI 2024
作者: Peng, Jiaxin Li, Tao Jiang, Qin Liu, Jie Wang, Ruibo Laboratory of Software Engineering for Complex Systems School of Computer Science National University of Defense Technology Hunan Changsha410073 China Parallel and Distributed Processing Laboratory School of Computer Science National University of Defense Technology Hunan Changsha410073 China
The conventional Levenberg-Marquardt (LM) algorithm is a state-of-the-art trust-region optimization method for solving bundle adjustment problems in the Structure-from-Motion community, which not only takes advantage ... 详细信息
来源: 评论
Contrastive Learning with Diverse Samples  26
Contrastive Learning with Diverse Samples
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26th European Conference on Artificial Intelligence, ECAI 2023
作者: Wu, Lilei Liu, Jie Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha410073 China Laboratory of Digitizing Software for Frontier Equipment National University of Defense Technology Changsha410073 China
Unsupervised visual representation learning has gained much attention from the computer vision community because of the recent contrastive learning achievements. Current work mainly adopts instance discrimination as t...
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A relative coordinate based distributed sparse-preserving matrix factorization approach towards self-stabilizing network location service - Withdrawn
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IEEE Transactions on parallel and distributed Systems 2023年 1-1页
作者: Fu, Yongquan Wang, Yijie Pei, Xiaoqiang Li, Xiaoyong Science and Technology Laboratory of Parallel and Distributed Processing National University of Defense Technology China
Withdrawn. IEEE
来源: 评论
ParTransgrid: A scalable parallel preprocessing tool for unstructured-grid cell-centered computational fluid dynamics applications
ParTransgrid: A scalable parallel preprocessing tool for uns...
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作者: Zhang, Jian Liu, Jie Zhou, Naichun Tang, Jing He, Xie Chen, Jianqiang Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha China Computational Aerodynamics Institute China Aerodynamics Research and Development Center Mianyang China
The development of a basic scalable preprocessing tool is the key routine to accelerate the entire computational fluid dynamics (CFD) workflow toward the exascale computing era. In this work, a parallel preprocessing ... 详细信息
来源: 评论
Accelerating Federated Learning by Selecting Beneficial Herd of Local Gradients
arXiv
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arXiv 2024年
作者: Luo, Ping Deng, Xiaoge Wen, Ziqing Sun, Tao Li, Dongsheng National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha410073 China
Federated Learning (FL) is a distributed machine learning framework in communication network systems. However, the systems’ Non-Independent and Identically distributed (Non-IID) data negatively affect the convergence... 详细信息
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Fast flow field prediction of pollutant leakage diffusion based on deep learning
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Environmental Science and Pollution Research 2024年 第36期31卷 49393-49412页
作者: YunBo, Wan Zhong, Zhao Jie, Liu KuiJun, Zuo Yong, Zhang Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha410073 China Computational Aerodynamics Institute China Aerodynamics Research and Development Center Mianyang621000 China Laboratory of Digitizing Software for Frontier Equipment National University of Defense Technology Changsha410073 China School of Aeronautics Northwestern Polytechnical University Xi’an710072 China
Abstract: Predicting pollutant leakage and diffusion processes is crucial for ensuring people’s safety. While the deep learning method offers high simulation efficiency and superior generalization, there is currently... 详细信息
来源: 评论
Optimizing Yinyang K-Means Algorithm on ARMv8 Many-Core CPUs  22nd
Optimizing Yinyang K-Means Algorithm on ARMv8 Many-Core CPU...
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22nd International Conference on Algorithms and Architectures for parallel processing, ICA3PP 2022
作者: Zhou, Tianyang Wang, Qinglin Yin, Shangfei Hao, Ruochen Liu, Jie Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha410073 China School of Computer Science National University of Defense Technology Changsha410073 China
K-Means algorithm is one of the most common clustering algorithms widely applied in various data analysis applications. Yinyang K-Means algorithm is a popular enhanced K-Means algorithm that avoids most unnecessary ca... 详细信息
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Federated Prediction-Powered Inference from Decentralized Data
arXiv
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arXiv 2024年
作者: Luo, Ping Deng, Xiaoge Wen, Ziqing Sun, Tao Li, Dongsheng The National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha410073 China
In various domains, the increasing application of machine learning allows researchers to access inexpensive predictive data, which can be utilized as auxiliary data for statistical inference. Although such data are of... 详细信息
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An Efficient Broadcast Authentication Protocol in Wireless Sensor Networks
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Chinese Journal of Electronics 2023年 第2期18卷 368-372页
作者: Xin Zhao Xiaodong Wang Wanrong Yu Xingming Zhou National Key Laboratory of Parallel and Distributed Processing National University of Defense Technology Changsha China
Broadcast authentication is a critical security service in wireless sensor networks. A protocol named $\mu\text{TESLA}$ [1] has been proposed to provide efficient authentication service for such networks. However, w... 详细信息
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