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检索条件"机构=National Laboratory for Parallel and Distributed Processing School of Computer Science"
508 条 记 录,以下是481-490 订阅
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Analyzing the Efficiency and Bottleneck of Scientific Programs on Imagine Stream Processor by Simulation
Analyzing the Efficiency and Bottleneck of Scientific Progra...
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International Symposium on parallel and distributed processing with Applications, ISPA
作者: Yonggang Che Chuanfu Xu Zhenghua Wang National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha China
Imagine stream processor has shown high performance and efficiency for media applications. Its potential for scientific applications is of great interest to the high performance computing community. This paper investi... 详细信息
来源: 评论
Automating Software FMEA via Formal Analysis of Dependence Relations
Automating Software FMEA via Formal Analysis of Dependence R...
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IEEE Annual International computer Software and Applications Conference (COMPSAC)
作者: Wei Dong Ji Wang Changzhi Zhao Xian Zhang Jie Tian School of Computer National University of Defense Technology China National Laboratory for Parallel and Distributed Processing China
The paper presents the ongoing work of studying FMEA method for embedded safely critical software via formal analysis of various dependence relations among software elements, which can fairly improve the automation an... 详细信息
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Flexible Routing in Grouped DHTs
Flexible Routing in Grouped DHTs
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International Conference on Peer-to-Peer Computing
作者: Yiming Zhang Dongsheng Li Lei Chen Xicheng Lu National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha China Department of Computer Science Hong Kong University of Science and Technology Hong Kong China
In most DHTs proposed so far, all nodes are assumed to be homogeneous, and all messages are routed using a common algorithm. In practice, however, nodes in large-scale systems might be heterogeneous with respect to th... 详细信息
来源: 评论
Collaborative search in large-scale unstructured peer-to-peer networks
Collaborative search in large-scale unstructured peer-to-pee...
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36th International Conference on parallel processing in Xi'an, ICPP
作者: Zhang, Yiming Li, Dongsheng Chen, Lei Lu, Xicheng National Laboratory for Parallel and Distributed Processing NUDT Department of Computer Science Hong Kong University of Science and Technology
Searching in large-scale unstructured peer-to-peer networks is challenging due to the lack of effective hint information to guide queries. In this paper, we propose POP, a parallel, cOllaborative and Probabilistic sea... 详细信息
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Compositional Verification of UML Dynamic Models
Compositional Verification of UML Dynamic Models
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Asia-Pacific Conference on Software Engineering
作者: Wei Dong Ji Wang Zhichang Qi Ni Rong School of Computer National University of Defense Technology China National Laboratory for Parallel and Distributed Processing China
UML dynamic models are important for software analysis and design. Verifying UML dynamic models to find design errors earlier is a key issue for ensuring software quality. Because of the characteristics such as concur... 详细信息
来源: 评论
Are filter methods very effective in gene selection of microarray data?
Are filter methods very effective in gene selection of micro...
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IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)
作者: Zhou-Jun Li Li-Juan Zhang Huo-Wang Chen School of Computer Science & Engineering Beihang University Beijing China National Laboratory for Parallel and Distributed Processing Changsha China
Feature (gene) selection is a frequently used preprocessing technology for successful cancer classification task in microarray gene expression data analysis. Widely used gene selection approaches are mainly focused on... 详细信息
来源: 评论
Collaborative Search in Large-scale Unstructured Peer-to-Peer Networks
Collaborative Search in Large-scale Unstructured Peer-to-Pee...
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International Conference on parallel processing (ICPP)
作者: Yiming Zhang Dongsheng Li Lei Chen Xicheng Lu National Laboratory for Parallel and Distributed Processing National University of Defense Technology China Department of Computer Science Hong Kong University of Science and Technology Hong Kong China
Searching in large-scale unstructured peer-to-peer networks is challenging due to the lack of effective hint information to guide queries. In this paper, we propose POP, a parallel, collaborative and Probabilistic sea... 详细信息
来源: 评论
Data dependence-based optimistic data consistency maintenance method
Data dependence-based optimistic data consistency maintenanc...
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6th IEEE International Conference on computer and Information Technology, CIT 2006
作者: Zhou, Jing Wang, Yijie Li, Sikun National Key Laboratory for Parallel and Distributed Processing School of Computer Science National University of Defense Technology China
Data replication introduces well-known consistency issues. This paper puts forward the question about data dependence in data consistency, which embodies pseudo-conflict updates and update dependency. According to tha... 详细信息
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Automated WCET analysis based on program modes
Automated WCET analysis based on program modes
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1st International Workshop on Automation of Software Test, AST'06, Co-located with the 28th International Conference on Software Engineering, ICSE 2009
作者: Ji, Meng-Luo Wang, Ji Li, Shuhao Qi, Zhi-Chang School of Computer National University of Defense Technology China National Laboratory for Parallel and Distributed Processing China
Program mode is a regular trajectory of the execution of a program that is determined by the values of its input variables. By exploiting program modes we may make Worst Case Execution Time (WCET) analysis more precis... 详细信息
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A novel rough set approach for classification
A novel rough set approach for classification
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2006 IEEE International Conference on Granular Computing
作者: Zhang, Li-Juan Li, Zhou-Jun National Laboratory for Parallel and Distributed Processing Changsha 410073 China School of Computer Science and Engineering Beihang University Beijing 100083 China
Rough set theory has been widely and successfully used in data mining, especially in classification field. But most existing rough set based classification approaches require computing optimal attribute reduction, whi... 详细信息
来源: 评论