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检索条件"机构=National Key Laboratory for Parallel and Distributed Processing School of Computer Science"
422 条 记 录,以下是311-320 订阅
排序:
An improved algorithm for reconstructing singular connection in the multi-block cfd applications
arXiv
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arXiv 2017年
作者: Yong-Xian, Wang Li-Lun, Zhang Yong-Gang, Che Chuan-Fu, Xu Wei, Liu Hua-Yong, Liu Zheng-Hua, Wang College of Computer National University of Defense Technology Changsha410073 China Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha410073 China State Key Laboratory of Aerodynamics Mianyang621000 China
In this paper, an improved algorithm is proposed for the reconstruction of singularity connectivity from the available pairwise connections during preprocessing phase. To evaluate the performance of our algorithm, an ... 详细信息
来源: 评论
Collaborative deep learning across multiple data centers
arXiv
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arXiv 2018年
作者: Xu, Kele Mi, Haibo Feng, Dawei Wang, Huaimin Chen, Chuan Zheng, Zibin Lan, Xu National Key Laboratory of Parallel and Distributed Processing Changsha China College of Computer National University of Defense Technology Changsha China School of Data and Computer Science Sun Yat-Sen University Guangzhou China Queen Mary University of London London United Kingdom
Valuable training data is often owned by independent organizations and located in multiple data centers. Most deep learning approaches require to centralize the multi-datacenter data for performance purpose. In practi... 详细信息
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Building a lightweight container-based experimental platform for hpc education  10th
Building a lightweight container-based experimental platform...
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10th International Symposium on parallel Architectures, Algorithms and Programming, PAAP 2019
作者: Wang, Zelong Wu, Di Luo, Zhenxiao Du, Yunfei School of Data and Computer Science Sun Yat-sen University Guangzhou China Guangdong Key Laboratory of Big Data Analysis and Processing Guangzhou510006 China National Supercomputer Center in Guangzhou Guangzhou China
HPC (High Performance Computing) is of great significance due to its excellent performance in computing acceleration. However, unlike other techniques in computer science, learning HPC requires advanced computing reso... 详细信息
来源: 评论
Accelerating MatLab code using GPU: A review of tools and strategies
Accelerating MatLab code using GPU: A review of tools and st...
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2011 2nd International Conference on Artificial Intelligence, Management science and Electronic Commerce, AIMSEC 2011
作者: Zhang, Baida Xu, Shuai Zhang, Feng Bi, Yuan Huang, Linqi National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha 410073 China Department of Information Engineering Academy of Armored Force Engineering Beijing 100000 China Electronic Information Industry Co. Ltd Beijing 100085 China Naval Academy of Armament Beijing 100036 China School of Resources and Safety Engineering Central South University Changsha 410083 China
Lots of toolboxes of accelerating MatLab using GPU are available now[1], but, users are confused by which toolbox is best suitable for a particular task. Three toolboxes-Jacket, GPUmat, and parallel Computing Toolbox ... 详细信息
来源: 评论
Efficient Approach for Repeated Patterns Mining Based on Indent Shape of HTML Documents
Efficient Approach for Repeated Patterns Mining Based on Ind...
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International Conference on Cyber-Enabled distributed Computing and Knowledge Discovery, CyberC
作者: Yanxu Zhu Gang Yin Huaimin Wang Dianxi Shi Xiang Rao Lin Yuan School of computer National Laboratory of Parallel and Distributed Processing National University of Defense Technology Changsha Hunan China College of Electronic Technology Information Engineering University Zhengzhou Henan China
Mining of repeated patterns from HTML documents is the key step towards Web-based data mining and knowledge extraction. Many web crawling applications need efficient repeated patterns mining techniques to generate the... 详细信息
来源: 评论
Sparse Matrix Reordering Method Selection with parallel Computing and Deep Learning
Sparse Matrix Reordering Method Selection with Parallel Comp...
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International Joint Conference on Neural Networks (IJCNN)
作者: Rui Xia Jihu Guo Huajian Zhang Shun Yang Qinglin Wang Jie Liu College of Computer Science and Techonology National University of Defense Technology Changsha China Laboratory of Digitizing Software for Frontier Equipment National University of Defense Technology Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology
Sparse matrix reordering is an important step in Cholesky decomposition. By reordering the rows and columns of the matrix, the time of computation and storage cost can be greatly reduced. With the proposal of various ... 详细信息
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Deep Isolation Forest for Anomaly Detection
arXiv
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arXiv 2022年
作者: Xu, Hongzuo Pang, Guansong Wang, Yijie Wang, Yongjun The College of Computer National University of Defense Technology Changsha410073 China The Science and Technology on Parallel and Distributed Processing Laboratory China The School of Computing and Information Systems Singapore Management University 178902 Singapore
Isolation forest (iForest) has been emerging as arguably the most popular anomaly detector in recent years due to its general effectiveness across different benchmarks and strong scalability. Nevertheless, its linear ... 详细信息
来源: 评论
Optimistic data consistency maintenance method based on data dependence
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Jisuanji Xuebao/Chinese Journal of computers 2008年 第5期31卷 741-753页
作者: Zhou, Jing Wang, Yi-Jie Li, Si-Kun National Key Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha 410073 China
This paper proposes an optimistic data consistency method according to the question about data dependence in data consistency. In the method, data object is partitioned into data blocks by fixed size as the basic unit... 详细信息
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Improving unsupervised domain adaptation by reducing bi-level feature redundancy
arXiv
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arXiv 2020年
作者: Wang, Mengzhu Zhang, Xiang Lan, Long Wang, Wei Tan, Huibin Luo, Zhigang Science and Technology on Parallel and Distributed Laboratory College of Computer National University of Defense Technology Changsha China Institute for Quantum State Key Laboratory of High Performance Computing National University of Defense Technology Changsha China DUT-RU International School of Information Science & Engineering Dalian University of Technology DalianLiaoning116000 China Department of Science and Technology on Parallel and Distributed Processing National University of Defense Technology Changsha China
Reducing feature redundancy has shown beneficial effects for improving the accuracy of deep learning models, thus it is also indispensable for the models of unsupervised domain adaptation (UDA). Nevertheless, most rec... 详细信息
来源: 评论
A mesh quality discrimination method based on convolutional neural network
A mesh quality discrimination method based on convolutional ...
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IEEE International Conference on Artificial Intelligence and computer Applications (ICAICA)
作者: Zhenpeng Xu Xinhai Chen Lihua Chi Jie Liu Chunye Gong Science and Technology on Parallel and Distributed Processing Laboratory & Laboratory of Software Engineering for Complex Systems National University of Defense Technology Changsha China College of Computer Science and Electronic Engineering Hunan University Changsha China
With the rapid development of highperformance computing, computational fluid dynamics (CFD) has become an important part of hydrodynamics and aerodynamics. Mesh quality is the key factor that affects the accuracy and ... 详细信息
来源: 评论