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检索条件"机构=Parallel and Distributed Processing for National Laboratory"
1001 条 记 录,以下是11-20 订阅
排序:
A Novel Multi-objective Neural Architecture Search Algorithm via Gaussian Progress Sampling  5
A Novel Multi-objective Neural Architecture Search Algorithm...
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5th IEEE International Conference on Artificial Intelligence and Big Data, ICAIBD 2022
作者: Chen, Xuehui Jiang, Jingfei Niu, Xin Pan, Hengyue Dong, Peijie Wei, Zimian National University of Defense Technology National Laboratory for Parallel and Distributed Processing Changsha China
Multi-objective neural architecture search (NAS) algorithms aim to automatically search the neural architecture suitable for different computing power platforms by using multi-objective optimization methods. The LEMON... 详细信息
来源: 评论
EdgeAnchor: A Rapid and Balanced File Storage Strategy at the Network Edge  29
EdgeAnchor: A Rapid and Balanced File Storage Strategy at th...
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29th IEEE International Conference on parallel and distributed Systems, ICPADS 2023
作者: Liu, Han Xie, Xingrui Zhang, Zhuopu Cheng, Geyao Luo, Lailong Guo, Deke National University of Defense Technology Science and Technology on Information Systems Engineering Laboratory China National University of Defense Technology National Laboratory for Parallel and Distributed Processing China
Storing files at the network edge has become a new paradigm of storage systems, which is promising to mitigate network congestion and reduce file retrieval latency. However, the traditional file storage scheme cannot ... 详细信息
来源: 评论
DaCP: Accelerating Synchronization-Free SpTRSV via GPU-Friendly Data Communication and parallelism Strategies  20th
DaCP: Accelerating Synchronization-Free SpTRSV via GPU-Frie...
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20th IFIP WG 10.3 International Conference on Network and parallel Computing, NPC 2024
作者: Guo, Mingfeng Deng, Liang Dai, Zhe Li, Ruitian Lin, Gaofeng Liu, Jie Computational Aerodynamics Institute China Aerodynamics Research and Development Center Mianyang China Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha China
Sparse triangular solve (SpTRSV) is a vital component in various scientific applications, and numerous GPU-based SpTRSV algorithms have been proposed. Synchronization-free SpTRSV is currently the mainstream algorithm ... 详细信息
来源: 评论
CD-Sched: An Automated Scheduling Framework for Accelerating Neural Network Training on Shared Memory CPU-DSP Platforms  23
CD-Sched: An Automated Scheduling Framework for Accelerating...
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Proceedings of the 2023 International Conference on Power, Communication, Computing and Networking Technologies
作者: Yuanyuan Xiao Zhiquan Lai Dongsheng Li National Key Laboratory for Parallel and Distributed Processing National University of Defense Technology China National Key Laboratory of Parallel and Distributed Processing National University of Defense Technology China
DSP holds significant potential for important applications in Deep Neural Networks. However, there is currently a lack of research focused on shared-memory CPU-DSP heterogeneous chips. This paper proposes CD-Sched, an... 详细信息
来源: 评论
Factorization Machine-based Unsupervised Model Selection Method
Factorization Machine-based Unsupervised Model Selection Met...
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2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022
作者: Zhang, Ruyi Wang, Yijie Xu, Hongzuo Zhou, Haifang National University of Defense Technology Science and Technology on Parallel and Distributed Processing Laboratory China
Machine learning is broadly used in many intelligent cybernetic systems. With the burgeoning of the communities of AI, the number of machine learning-based models is rapidly increasing, but picking a suitable and opti... 详细信息
来源: 评论
A Data-Centric Approach for Efficient and Scalable CFD Implementation on Multi-GPUs Clusters  24th
A Data-Centric Approach for Efficient and Scalable CFD Imple...
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24th International Conference on parallel and distributed Computing, Applications and Technologies, PDCAT 2023
作者: Li, Ruitian Deng, Liang Dai, Zhe Zhang, Jian Liu, Jie Liu, Gang China Aerodynamic Research and Development Center Computational Aerodynamic Institute Mianyang China Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha China
Scalability is a crucial factor determining the performance of massive heterogeneous parallel CFD applications on the multi-GPUs platforms, particularly after the single-GPU implementations have achieved optimal perfo... 详细信息
来源: 评论
AFMA-Track: Adaptive Fusion of Motion and Appearance for Robust Multi-object Tracking  27th
AFMA-Track: Adaptive Fusion of Motion and Appearance for ...
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Liao, Wei Luo, Lei Zhang, Chunyuan College of Computer Science and Technology National University of Defence Technology Changsha China Science and Technology on Parallel and Distributed Processing Laboratory College of Computer Science and Technology National University of Defense Technology Changsha China
Motion and appearance cues play a crucial role in Multi-object Tracking (MOT) algorithms for associating objects across consecutive frames. While most MOT methods prioritize accurate motion modeling and distincti... 详细信息
来源: 评论
parallel Implementation of SHA256 on Multizone Heterogeneous Systems  21
Parallel Implementation of SHA256 on Multizone Heterogeneous...
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21st IEEE International Symposium on parallel and distributed processing with Applications, 13th IEEE International Conference on Big Data and Cloud Computing, 16th IEEE International Conference on Social Computing and Networking and 13th International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023
作者: Luo, Yongtao Liu, Jie Xiao, Tiaojie Gong, Chunye National University of Defense Technology Science and Technology on Parallel and Distributed Processing Laboratory Laboratory of Digitizing Program for Frontier Equipment Changsha China National Supercomputer Center in Tianjin Tianjin China
SHA-256 plays an important role in widely used applications, such as data security, data integrity, digital signatures, and cryptocurrencies. However, most of the current optimized implementations of SHA-256 are based... 详细信息
来源: 评论
ROGC: Role-Oriented Graph Convolution Based Multi-Agent Reinforcement Learning
ROGC: Role-Oriented Graph Convolution Based Multi-Agent Rein...
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2022 IEEE International Conference on Multimedia and Expo, ICME 2022
作者: Liu, Yuntao Li, Yuan Xu, Xinhai Liu, Donghong Dou, Yong National University of Defense Technology National Laboratory for Parallel and Distributed Processing China Academy of Military Sciences China
The role-oriented learning approach could improve the performance of multi-agent reinforcement learning by decomposing complex multi-agent tasks into different roles. However, due to the dynamic environment and intera... 详细信息
来源: 评论
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