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检索条件"机构=Laboratory for Parallel and Distributed Computing"
308 条 记 录,以下是31-40 订阅
排序:
Multi-level Shared Knowledge Guided Learning for Knowledge Graph Completion
arXiv
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arXiv 2024年
作者: Shan, Yongxue Zhou, Jie Peng, Jie Zhou, Xin Yin, Jiaqian Wang, Xiaodong National Key Laboratory of Parallel and Distributed Computing College of Computer National University of Denfense Technology Changsha China
In the task of Knowledge Graph Completion (KGC), the existing datasets and their inherent subtasks carry a wealth of shared knowledge that can be utilized to enhance the representation of knowledge triplets and overal... 详细信息
来源: 评论
Funnel: An Efficient Sparse Attention Accelerator with Multi-Dataflow Fusion
Funnel: An Efficient Sparse Attention Accelerator with Multi...
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International Symposium on parallel and distributed Processing with Applications, ISPA
作者: Shenghong Ma Jinwei Xu Jingfei Jiang Yaohua Wang Dongsheng Li National Key Laboratory of Parallel and Distributed Computing College of Computer National University of Defense Technology Changsha China
The self-attention mechanism is the core component of Transformer, which provides a powerful ability to understand the sequence context. However, the self-attention mechanism also suffers from a large amount of redund... 详细信息
来源: 评论
Boundary-Driven Active Learning for Anomaly Detection in Time Series Data Streams
Boundary-Driven Active Learning for Anomaly Detection in Tim...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Xiaohui Zhou Yijie Wang Hongzuo Xu Mingyu Liu National Key Laboratory of Parallel and Distributed Computing College of Computer National University of Defense Technology Changsha China
The key to anomaly detection in time series data streams (TSDS) lies in the ability to adapt to evolving data. Active learning for anomaly detection has shown such ability by leveraging expert feedback. However, many ...
来源: 评论
PEbfs: Implement High-Performance Breadth-First Search on PEZY-SC3s  24th
PEbfs: Implement High-Performance Breadth-First Search on P...
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24th International Conference on Algorithms and Architectures for parallel Processing, ICA3PP 2024
作者: Guo, Weihao Wang, Qinglin Liu, Xiaodong Peng, Muchun Yang, Shun Liang, Yaling Shi, Yongzhen Cao, Ligang Liu, Jie Laboratory of Digitizing Software for Frontier Equipment National University of Defense Technology Changsha410073 China National Key Laboratory of Parallel and Distributed Computing National University of Defense Technology Changsha410073 China Engineering Research Center for National Fundamental Software National University of Defense Technology Changsha410073 China
The breadth-first search (BFS) algorithm is a fundamental algorithm in graph theory, and it’s parallelization can significantly improve performance. Therefore, there have been numerous efforts to leverage the powerfu... 详细信息
来源: 评论
HSDP: Accelerating Large-scale Model Training via Efficient Sharded Data parallelism
HSDP: Accelerating Large-scale Model Training via Efficient ...
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International Symposium on parallel and distributed Processing with Applications, ISPA
作者: Yanqi Hao Zhiquan Lai Wei Wang Shengwei Li Weijie Liu Keshi Ge Dongsheng Li National Key Laboratory of Parallel and Distributed Computing(PDL) College of Computer National University of Defense Technology Changsha China
Large deep neural network (DNN) models have demonstrated exceptional performance across diverse downstream tasks. Sharded data parallelism (SDP) has been widely used to reduce the memory footprint of model states. In ... 详细信息
来源: 评论
3D parallelism for Transformers via Integer Programming
3D Parallelism for Transformers via Integer Programming
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Hao Zheng Peng Liang Yu Tang Yanqi Shi Linbo Qiao Dongsheng Li National Key Laboratory of Parallel and Distributed Computing National University Of Defense Technology Changsha P.R.China
Transformer models, such as BERT, GPT, and ViT, have been applied to a wide range of areas in recent years, due to their efficacy. In order to improve the training efficiency of Transformer models, different distribut...
来源: 评论
Pro-Prophet: A Systematic Load Balancing Method for Efficient parallel Training of Large-scale MoE Models
arXiv
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arXiv 2024年
作者: Wang, Wei Lai, Zhiquan Li, Shengwei Liu, Weijie Ge, Keshi Shen, Ao Su, Huayou Li, Dongsheng The National Key Laboratory of Parallel and Distributed Computing College of Computer National University of Defense Technology Hunan Changsha China
he size of deep learning models has been increasing to enhance model quality. The linear increase in training computation budget with model size means that training an extremely large-scale model is exceedingly time-c... 详细信息
来源: 评论
Temporal Closing Path for PLM-based Temporal Knowledge Graph Completion
Temporal Closing Path for PLM-based Temporal Knowledge Graph...
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International Joint Conference on Neural Networks (IJCNN)
作者: Xin Zhou Yongxue Shan Zixuan Dong Haijiao Liu Xiaodong Wang National Key Laboratory of Parallel and Distributed Computing College of Computer Science and Technology National University of Denfense Technology Changsha China
Temporal Knowledge Graph Completion (TKGC) aims to predict missing parts of quadruples, which is crucial for real-life knowledge graphs. Compared with methods that only use graph neural networks, the emergence of pre-... 详细信息
来源: 评论
Detecting Duplicate Contributions in Pull-Based Model CombiningTextual and Change Similarities
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Journal of Computer Science & Technology 2021年 第1期36卷 191-206页
作者: Zhi-Xing Li Yue Yu Tao Wang Gang Yin Xin-Jun Mao Huai-Min Wang Key Laboratory of Parallel and Distributed Computing College of ComputerNational University of Defense Technology Changsha 410073China Laboratory of Software Engineering for Complex Systems College of ComputerNational University of Defense TechnologyChangsha 410073China
Communication and coordination between OSS developers who do not work physically in the same location have always been the challenging *** pull-based development model,as the state-of-art collaborative development mec... 详细信息
来源: 评论
Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models
arXiv
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arXiv 2024年
作者: Gao, Yifu Qiao, Linbo Kan, Zhigang Wen, Zhihua He, Yongquan Li, Dongsheng National Key Laboratory of Parallel and Distributed Computing National University of Defense Technology Changsha China Xiangjiang Laboratory Changsha China Meituan Beijing China
Temporal knowledge graph question answering (TKGQA) poses a significant challenge task, due to the temporal constraints hidden in questions and the answers sought from dynamic structured knowledge. Although large lang... 详细信息
来源: 评论