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检索条件"机构=The Science and Technology on Paraller and Distributed Processing Laboratory"
439 条 记 录,以下是201-210 订阅
排序:
Fden: Mining Effective Information of Features in Detecting Network Anomalies
Fden: Mining Effective Information of Features in Detecting ...
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IEEE International Conference on Acoustics, Speech and Signal processing
作者: Bin Li Yijie Wang Mingyu Liu Kele Xu Zhongyang Wang Li Cheng Yizhou Li Science and Technology on Parallel and Distributed Processing Laboratory College of Computer National University of Defense Technology Changsha China
Network anomaly detection is important for detecting and reacting to the presence of network attacks. In this paper, we propose a novel method to effectively leverage the features in detecting network anomalies, named... 详细信息
来源: 评论
Co-designing the Topology/Algorithm to Accelerate distributed Training
Co-designing the Topology/Algorithm to Accelerate Distribute...
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IEEE International Conference on Big Data and Cloud Computing (BdCloud)
作者: Xiang Hou Rui Xu Sheng Ma Qiong Wang Wei Jiang Hongyi Lu Science and Technology on Parallel and Distributed Processing Laboratory College of Computer National University of Defense Technology Changsha China
With the development of Deep Learning (DL), Deep Neural Network (DNN) models have become more complex. At the same time, the development of the Internet makes it easy to obtain large data sets for DL training. Large-s... 详细信息
来源: 评论
DELTA: Dynamically Optimizing GPU Memory beyond Tensor Recomputation
arXiv
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arXiv 2022年
作者: Tang, Yu Wang, Chenyu Zhang, Yufan Liu, Yuliang Zhang, Xingcheng Qiao, Linbo Lai, Zhiquan Li, Dongsheng Science and Technology on Parallel and Distributed Processing Laboratory United States SenseTime Research Shanghai Artificial Intelligence Laboratory China
Training activations of deep neural networks occupy plenty of GPU memory, especially for large-scale deep neuralnetworks. However, the further development of deep neural networks is hampered by the limited GPU memory ... 详细信息
来源: 评论
AUModel:A Conceptual model for Adaptive Software
AUModel:A Conceptual model for Adaptive Software
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2014 IEEE 5th International Conference on Software Engineering and Service science
作者: Hui Liu Bo Ding Dianxi Shi Huaimin Wang National Key Laboratory for Parallel and Distributed Processing College of Computer ScienceNational University of Defense Technology
Pervasive software should be able to adapt itself to the changing environments and user ***,it will bring great challenges to the software engineering *** paper proposes AUModel,a conceptual model for adaptive softwar... 详细信息
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Security issues and solutions in cloud computing
Security issues and solutions in cloud computing
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32nd IEEE International Conference on distributed Computing Systems Workshops, ICDCSW 2012
作者: You, Pengfei Peng, Yuxing Liu, Weidong Xue, Shoufu National Key Laboratory for Parallel and Distributed Processing School of Computer Science National University of Defense Technology Changsha China Jiangsu Automation Research Institute Jiangsu China Air Defense Forces Academy CPLA Zhengzhou Henan China
Recently, Cloud computing, as one of the hottest words in IT world, has drawn great attention. Many IT companies such as IBM, Google, Amazon, Microsoft, Yahoo and others vigorously develop cloud computing systems and ... 详细信息
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A Scalable and Flexible Monitoring System Framework for Supercomputers
A Scalable and Flexible Monitoring System Framework for Supe...
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2017 International Conference on Computer, Electronics and Communication Engineering(CECE2017)
作者: Tong XIAO Kai LU College of Computer National University of Defense Technology Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology
Mankind's demand for more powerful computing capabilities is never met, which has led to the continuous improvement of supercomputers' performance. A more powerful supercomputer tends to have a larger system s... 详细信息
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Using redundant threads for fault tolerance of OpenMP programs
Using redundant threads for fault tolerance of OpenMP progra...
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2010 International Conference in Information science and Applications, ICISA 2010
作者: Fu, Hongyi Ding, Yan Key Laboratory of Science and Technology for National Defence of Parallel and Distributed Processing National University of Defence Tech. Changsha Hunan 410073 China School of Computer National University of Defence Tech. Changsha Hunan 410073 China
As the wide application of multi-core processor architecture in the domain of high performance computing, fault tolerance for shared memory parallel programs becomes a hot spot of research. For years, checkpointing ha... 详细信息
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IWFR:Exploiting Full-duplex in Wireless Relay Networks
IWFR:Exploiting Full-duplex in Wireless Relay Networks
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2014 4th IEEE International Conference on Information science and technology
作者: Yong Lu Shaohe Lv Xiaodong Wang Xingming Zhou National Key Laboratory for Parallel and Distributed Processing School of Computer Science National University of Defense Technology
Traditional wireless relay networks have large endto-end time delay and low throughput because of the limit that it can't receive and forward at the same *** this paper,we proposed IWFR:Immediate Wireless Full-Dup... 详细信息
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Who should review this pull-request: Reviewer recommendation to expedite crowd collaboration  21
Who should review this pull-request: Reviewer recommendation...
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21st Asia-Pacific Software Engineering Conference, APSEC 2014
作者: Yu, Yue Wang, Huaimin Yin, Gang Ling, Charles X. National Laboratory for Parallel and Distributed Processing College of Computer National University of Defense Technology Changsha410073 China Department of Computer Science University of Western Ontario LondonONN6A 5B7 Canada
Github facilitates the pull-request mechanism as an outstanding social coding paradigm by integrating with social media. The review process of pull-requests is a typical crowdsourcing job which needs to solicit opinio... 详细信息
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Adversarial Attack and Defense for Transductive Support Vector Machine
Adversarial Attack and Defense for Transductive Support Vect...
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International Joint Conference on Neural Networks (IJCNN)
作者: Li Liu Haiyan Chen Changchun Yin Liming Fang College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics China Science and Technology on Parallel and Distributed Processing Laboratory (PDL) China
As a classic semi-supervised approach, the Transductive Support Vector Machine (TSVM) has exhibited remarkable accuracy by utilizing unlabeled data. However, the robustness of TSVM against adversarial attacks remains ... 详细信息
来源: 评论