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检索条件"机构=Parallel and Distributed Processing for National Laboratory"
1001 条 记 录,以下是71-80 订阅
排序:
CNA: A Dataset for Parsing Discourse Structure on Chinese News Articles
CNA: A Dataset for Parsing Discourse Structure on Chinese Ne...
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International Conference on Tools for Artificial Intelligence (ICTAI)
作者: Zhenliang Guo Zhen Huang Yong Dou Xiubin Yu Sijie Wang Zhongwu Chen Xinxin Su Xiaohang Liu National Key Laboratory of Parallel and Distributed Processing National University of Defense Technology Changsha China
Discourse structure analysis has shown to be useful for many artificial intelligence (AI) tasks such as text sum-marization and text categorization. However, for the Chinese news domain, the discourse structure analys... 详细信息
来源: 评论
Offline Imitation Learning Using Reward-free Exploratory Data  22
Offline Imitation Learning Using Reward-free Exploratory Dat...
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Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence
作者: Hao Wang Dawei Feng Bo Ding Wei Li College of Computer National University of Defense Technology China National Laboratory for Parallel and Distributed Processing National University of Defense Technology China Independent Researcher China
Offline imitative learning(OIL) is often used to solve complex continuous decision-making tasks. For these tasks such as robot control, automatic driving and etc., it is either difficult to design an effective reward ... 详细信息
来源: 评论
Quality evaluation of airfoil hybrid mesh based on graph neural network  19th
Quality evaluation of airfoil hybrid mesh based on graph neu...
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19th Chinese Intelligent Systems Conference, CISC 2023
作者: Wang, Huaiqing Pang, Yufei Xiao, Sumei Wang, Zhichao School of Manufacturing Science and Engineering Southwest University of Science and Technology Mianyang621010 China Computational Aerodynamics Istitute China Aerodynamics Research and Development Center Mianyang621010 China Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha410073 China
In airfoil numerical simulation, the mesh quality has an important influence on the accuracy and error of numerical simulation. The existing mesh quality evaluation requires a lot of manual interaction, which greatly ... 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
来源: 评论
Feature and Performance Comparison of FaaS Platforms  14
Feature and Performance Comparison of FaaS Platforms
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14th IEEE International Conference on Software Engineering and Service Science, ICSESS 2023
作者: Ma, Penghui Shi, Peichang Yi, Guodong College of Computer Science National University of Defense Technology National Key Laboratory of Parallel and Distributed Processing Changsha410073 China College of Computer Science National University of Defense Technology Key Laboratory of Software Engineering for Complex Systems Changsha410073 China Xiangjiang Lab Changsha410073 China School of Advanced Interdisciplinary Studies Hunan University of Technology and Business Changsha410073 China
With serverless computing offering more efficient and cost-effective application deployment, the diversity of serverless platforms presents challenges to users, including platform lock-in and costly migration. Moreove... 详细信息
来源: 评论
YOLOv5_CSL_F: YOLOv5's Loss Improvement and Attention Mechanism Application for Remote Sensing Image Object Detection  3
YOLOv5_CSL_F: YOLOv5's Loss Improvement and Attention Mechan...
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3rd International Conference on Wireless Communications and Smart Grid, ICWCSG 2021
作者: Wang, Junhua Xiao, Tao Gu, Qinyi Chen, Qian National University of Defense Technology Laboratory of Parallel and Distributed Processing Changsha China No.61646 Troop Department of Information Beijing China
With the continuous improvement of the resolution of satellite remote sensing images and aerial remote sensing images, more and more useful data and information are obtained from remote sensing images. At the same tim... 详细信息
来源: 评论
ST-PINN: A Self-Training Physics-Informed Neural Network for Partial Differential Equations
ST-PINN: A Self-Training Physics-Informed Neural Network for...
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International Joint Conference on Neural Networks (IJCNN)
作者: Junjun Yan Xinhai Chen Zhichao Wang Enqiang Zhoui Jie Liu Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha China Laboratory of Digitizing Software for Frontier Equipment National University of Defense Technology Changsha China
Partial differential equations (PDEs) are an essential computational kernel in physics and engineering. With the advance of deep learning, physics-informed neural networks (PINNs), as a mesh-free method, have shown gr...
来源: 评论
parallel Implementation of SHA256 on Multizone Heterogeneous Systems
Parallel Implementation of SHA256 on Multizone Heterogeneous...
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IEEE International Conference on Big Data and Cloud Computing (BdCloud)
作者: Yongtao Luo Jie Liu Tiaojie Xiao Chunye Gong Science and Technology on Parallel and Distributed Processing Laboratory Laboratory of Digitizing program for Frontier Equipment National University of Defense Technology 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...
来源: 评论
Bi-Objective Scheduling Algorithm for Hybrid Workflow in JointCloud
Bi-Objective Scheduling Algorithm for Hybrid Workflow in Joi...
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IEEE International Conference on Joint Cloud Computing (JCC)
作者: Rui Li Huaimin Wang Peichang Shi National Key Laboratory of Parallel and Distributed Processing College of Computer Science National University of Defense Technology Changsha China State Key Laboratory of Complex & Critica Software Environment College of Computer Science National University of Defense Technology Changsha China
Big data workflows are widely used in IoT, recommended systems, and real-time vision applications, and they continue to grow in complexity. These hybrid workflows consist of both resource-intensive batch jobs and late... 详细信息
来源: 评论
Merak: An Efficient distributed DNN Training Framework with Automated 3D parallelism for Giant Foundation Models
arXiv
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arXiv 2022年
作者: Lai, Zhiquan Li, Shengwei Tang, Xudong Ge, Keshi Liu, Weijie Duan, Yabo Qiao, Linbo Li, Dongsheng The National Laboratory for Parallel and Distributed Processing College of Computer National University of Defense Technology in Changsha Hunan China
Foundation models are in the process of becoming the dominant deep learning technology. Pretraining a foundation model is always time-consuming due to the large scale of both the model parameter and training dataset. ... 详细信息
来源: 评论