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检索条件"机构=The Science and Technology on Parallel and Distributed Laboratory"
535 条 记 录,以下是101-110 订阅
排序:
Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning
arXiv
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arXiv 2023年
作者: Xu, Hongzuo Wang, Yijie Wei, Juhui Jian, Songlei Li, Yizhou Liu, Ning National Key Laboratory of Parallel and Distributed Computing China College of Computer National University of Defense Technology China College of Science National University of Defense Technology China
Due to the unsupervised nature of anomaly detection, the key to fueling deep models is finding supervisory signals. Different from current reconstruction-guided generative models and transformation-based contrastive m... 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
A Float-Point Arithmetic Logic Unit for High Performance RISC-V Processor
A Float-Point Arithmetic Logic Unit for High Performance RIS...
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Frontiers technology of Information and Computer (ICFTIC), IEEE International Conference on
作者: Chunyuan Wei Chuan Yuan Yu Qi Bangjian Xu Xin Niu College of Computer Science and Electronic Engineering Hunan University Changsha China College of Electrical and Information Engineering Hunan University Changsha China Science and Technology on Parallel and Distributed Laboratory College of Computer National University of Defense Technology 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
GNNRL-Smoothing: A Prior-Free Reinforcement Learning Model for Mesh Smoothing
arXiv
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arXiv 2024年
作者: Wang, Zhichao C. Chen, Xinhai C. Gong, Chunye Y. Yang, Bo Deng, Liang Sun, Yufei F. Pang, Yufei F. Liu, Jie National University of Defense Technology Science and Technology on Parallel and Distributed Processing Laboratory China National University of Defense Technology Laboratory of Digitizing Software for Frontier Equipment China China Aerodynamics Research and Development Center China Nankai University College of Software China
Mesh smoothing methods can enhance mesh quality by eliminating distorted elements, leading to improved convergence in simulations. To balance the efficiency and robustness of traditional mesh smoothing process, previo... 详细信息
来源: 评论
WBA: A Warping-based Approach to Generating Imperceptible Adversarial Examples
WBA: A Warping-based Approach to Generating Imperceptible Ad...
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IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
作者: Chengyao Hua Shigeng Zhang Weiping Wang Zhankai Li Jian Zhang School of Computer Science and Engineering Central South University Changsha China Science and Technology on Parallel and Distributed Processing Laboratory (PDL)
The human can easily recognize the incongruous parts of an image, for example, perturbations unrelated to the image itself, but are poor at spotting the small geometric transformations. However, in terms of the robust... 详细信息
来源: 评论
Proposing an intelligent mesh smoothing method with graph neural networks
arXiv
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arXiv 2023年
作者: Wang, Zhichao Chen, Xinhai Yan, Junjun 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 National University of Defense Technology Changsha410073 China
In CFD, mesh smoothing methods are commonly utilized to refine the mesh quality to achieve high-precision numerical simulations. Specifically, optimization-based smoothing is used for high-quality mesh smoothing, but ... 详细信息
来源: 评论
A survey on deep learning approaches for data integration in autonomous driving system
arXiv
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arXiv 2023年
作者: Zhu, Xi Wang, Likang Zhou, Caifa Cao, Xiya Gong, Yue Chen, Lei Riemann Laboratory Huawei Technologies 2012 Laboratories China Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong Parallel Distributed Computing Laboratory Huawei Technologies 2012 Laboratories China
The perception module of self-driving vehicles relies on a multi-sensor system to understand its environment. Recent advancements in deep learning have led to the rapid development of approaches that integrate multi-s... 详细信息
来源: 评论
F3A: Fairness-Aware AI-Workloads Allocation Considering Multidimensional User Demands in JointCloud
F3A: Fairness-Aware AI-Workloads Allocation Considering Mult...
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IEEE International Conference on Joint Cloud Computing (JCC)
作者: Jiacheng Yang Guodong Yi Fei Gao Peichang Shi Huaimin Wang National Key Laboratory of Parallel and Distributed Processing College of Computer Science National University of Defense Technology Changsha China Xiangjiang Lab Changsha China School of Advanced Interdisciplinary Studies Hunan University Of Technology and Business Changsha China
With the rapid growth of large language models, cloud computing has become an indispensable component of the AI industry. Cloud service providers(CSPs) are establishing AI data centers to service AI workloads. In the ... 详细信息
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DCSA: The Deployment Mechanism of Chained Serverless Applications in JointCloud Environment
DCSA: The Deployment Mechanism of Chained Serverless Applica...
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IEEE International Conference on Joint Cloud Computing (JCC)
作者: Yaojie Li Peichang Shi Jianfei Liu Rui Li Fei Gao Penghui Ma Dong Xie Guodong Yi National Key Laboratory of Parallel and Distributed Processing College of Computer Science National University of Defense Technology Changsha China Xiangjiang Lab Changsha China School of Advanced Interdisciplinary Studies Hunan University Of Technology and Business Changsha China
Serverless computing, comprised of Function as a Service (FaaS) and Backend as a Service (BaaS), has garnered widespread attention owning to its features such as maintenance-free operations, pay-per-use pricing, and a... 详细信息
来源: 评论
A distributed Computing Framework Based on Lightweight Variance Reduction Method to Accelerate Machine Learning Training on Blockchain
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China Communications 2020年 第9期17卷 77-89页
作者: Zhen Huang Feng Liu Mingxing Tang Jinyan Qiu Yuxing Peng Science and Technology on Parallel and Distributed Laboratory National University of Defense TechnologyChangsha 410000China H.R.Support Center PLABeijing 100000China
To security support large-scale intelligent applications,distributed machine learning based on blockchain is an intuitive solution ***,the distributed machine learning is difficult to train due to that the correspondi... 详细信息
来源: 评论