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检索条件"机构=The Science and Technology on Parallel and Distributed Laboratory"
538 条 记 录,以下是31-40 订阅
排序:
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
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...
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
A Float-Point Arithmetic Logic Unit for High Performance RISC-V Processor  6
A Float-Point Arithmetic Logic Unit for High Performance RIS...
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6th International Conference on Frontier Technologies of Information and Computer, ICFTIC 2024
作者: Wei, Chunyuan Yuan, Chuan Qi, Yu Xu, Bangjian Niu, Xin College of Computer Science and Electronic Engineering Hunan University Changsha China College of Electrical and Information Engineering Hunan University Changsha China College of Computer National University of Defense Technology Science and Technology on Parallel and Distributed Laboratory Changsha China
With the rapid advancement of artificial intelligence, chips have become increasingly important. The emerging RISC-V instruction set gradually provides powerful computing support for this field. In this context, along... 详细信息
来源: 评论
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
High-performance Network Traffic Classification Based on Graph Neural Network  6
High-performance Network Traffic Classification Based on Gra...
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6th IEEE Information technology, Networking, Electronic and Automation Control Conference, ITNEC 2023
作者: Pang, Bo Fu, Yongquan Ren, Siyuan Jia, Yan Harbin Institute of Technology College of Computer Science and Technology Shenzhen China National University of Defense Technology National Key Laboratory for Parallel and Distributed Processing College of Computer Changsha China Peng Cheng Laboratory Shen Zhen China
Network traffic classification is crucial for network security and network management and is one of the most important network tasks. Current state-of-the-art traffic classifiers are based on deep learning models to a... 详细信息
来源: 评论
Optimizing Depthwise Convolutions on ARMv8 Architecture  23rd
Optimizing Depthwise Convolutions on ARMv8 Architecture
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23rd International Conference on parallel and distributed Computing, Applications, and Technologies, PDCAT 2022
作者: Hao, Ruochen Wang, Qinglin Yin, Shangfei Zhou, Tianyang Zhang, Qingyang Mei, Songzhu Shen, Siqi Liu, Jie Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha410073 China College of Computer National University of Defense Technology Changsha410073 China Xiamen University Xiamen China
Depthwise convolutions are widely used in lightweight convolutional neural networks (CNNs). The performance of depthwise convolutions is mainly bounded by the memory access rather than the arithmetic operations for cl... 详细信息
来源: 评论
Transformer in reinforcement learning for decision-making:a survey
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Frontiers of Information technology & Electronic Engineering 2024年 第6期25卷 763-790页
作者: Weilin YUAN Jiaxing CHEN Shaofei CHEN Dawei FENG Zhenzhen HU Peng LI Weiwei ZHAO College of Information and Communication National University of Defense TechnologyWuhan 430014China College of Intelligence Science and Technology National University of Defense TechnologyChangsha 410072China Laboratory for Parallel and Distributed Processing National University of Defense TechnologyChangsha 410072China
Reinforcement learning(RL)has become a dominant decision-making paradigm and has achieved notable success in many real-world ***,deep neural networks play a crucial role in unlocking RL’s potential in large-scale dec... 详细信息
来源: 评论
Model Provenance Management in MLOps Pipeline  2022
Model Provenance Management in MLOps Pipeline
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8th International Conference on Computing and Data Engineering, ICCDE 2022
作者: Mei, Songzhu Liu, Cong Wang, Qinglin Su, Huayou Science and Technology on Parallel and Distributed Laboratory National University of Defense Technology China Information Center Cmc Logistic Support Department China
Machine learning engineering is an important technology that has attracted the attention of academia and industry in the past two years. For AI to become a productivity of enterprises, it must be engineered to solve t... 详细信息
来源: 评论
Adaptive Self-Supervised Continual Learning  26
Adaptive Self-Supervised Continual Learning
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26th European Conference on Artificial Intelligence, ECAI 2023
作者: Wu, Lilei Wang, Zhen 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 Tsinghua University Beijing100084 China
Continual Learning (CL) studies the problem of developing a robust model that can learn new tasks while retaining previously learned knowledge. However, the current CL methods exclusively focus on data with annotation...
来源: 评论