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检索条件"机构=National Laboratory for Parallel and Distributed Computing"
168 条 记 录,以下是21-30 订阅
Detailed and clock-driven simulation for HPC interconnection network
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Frontiers of Computer Science 2016年 第5期10卷 797-811页
作者: Wenhao ZHOU Juan CHEN Chen CUI Qian WANG Dezun DONG Yuhua TANG State Key Laboratory of High Performance Computing School of Computer National University of Defense Technology Changsha 410073 China Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha 410073 China
Performance and energy consumption of high performance computing (HPC) interconnection networks have a great significance in the whole supercomputer, and building up HPC interconnection network simulation plat- form... 详细信息
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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
U-shaped Dual Attention Transformer: An Efficient Transformer Based on Channel and Spatial Attention  4
U-shaped Dual Attention Transformer: An Efficient Transforme...
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4th International Conference on Artificial Intelligence, Robotics, and Communication, ICAIRC 2024
作者: Zhai, Zhaoyuan Qiao, Peng Li, Rongchun Zhou, Zhen National University of Defense Technology National Key Laboratory of Parallel and Distributed Computing Changsha China
Transformer-based methods have demonstrated remarkable performance on image super-resolution tasks. Due to high computational complexity, researchers have been working to achieve a balance between computation costs an... 详细信息
来源: 评论
A multidimensional approach of evaluating developers  2020
A multidimensional approach of evaluating developers
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2nd International Conference on Big Data Engineering, BDE 2020
作者: Zhang, Changqiang Chen, Ming Key Laboratory of Parallel and Distributed Computing College of Computer National University of Defense Technology China
In this paper, we propose an approach to assess the ability of developers based on their behavior data from OSS. Specifically, we classify developers' ability into code ability, project management ability, and soc... 详细信息
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Communication Analysis for Multidimensional parallel Training of Large-scale DNN Models  25
Communication Analysis for Multidimensional Parallel Trainin...
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25th IEEE International Conferences on High Performance computing and Communications, 9th International Conference on Data Science and Systems, 21st IEEE International Conference on Smart City and 9th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC/DSS/SmartCity/DependSys 2023
作者: Lai, Zhiquan Hao, Yanqi Li, Shengwei Li, Dongsheng College of Computer National University of Defense Technology National Key Laboratory of Parallel and Distributed Computing Changsha China
Multidimensional parallel training has been widely applied to train large-scale deep learning models like GPT-3. The efficiency of parameter communication among training devices/processes is often the performance bott... 详细信息
来源: 评论
Funnel: An Efficient Sparse Attention Accelerator with Multi-Dataflow Fusion  22
Funnel: An Efficient Sparse Attention Accelerator with Multi...
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22nd IEEE International Symposium on parallel and distributed Processing with Applications, ISPA 2024
作者: Ma, Shenghong Xu, Jinwei Jiang, Jingfei Wang, Yaohua Li, Dongsheng National University of Defense Technology National Key Laboratory of Parallel and Distributed Computing College of Computer 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
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Speculative symbolic execution
Speculative symbolic execution
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2012 IEEE 23rd International Symposium on Software Reliability Engineering, ISSRE 2012
作者: Zhang, Yufeng Chen, Zhenbang Wang, Ji National Laboratory for Parallel and Distributed Processing Department of Computing Science National University of Defense Technology Changsha China
Symbolic execution is an effective path oriented and constraint based program analysis technique. Recently, there is a significant development in the research and application of symbolic execution. However, symbolic e... 详细信息
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High Performance Interconnect Network for Tianhe System
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Journal of Computer Science & Technology 2015年 第2期30卷 259-272页
作者: 廖湘科 庞征 王克非 卢宇彤 谢旻 夏军 董德尊 所光 College of Computer National University of Defense Technology Changsha 410073 Science and Technology on Parallel and Distributed Processing Laboratory National Changsha 410073 China China University of Defense Technology State Key Laboratory of High Performance Computing National University of Defense Technology Changsha 410073 China
In this paper, we present the Tianhe-2 interconnect network and message passing services. We describe the architecture of the router and network interface chips, and highlight a set of hardware and software features e... 详细信息
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A clustering-based approach for mining dockerfile evolutionary trajectories
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Science China(Information Sciences) 2019年 第1期62卷 211-213页
作者: Yang ZHANG Huaimin WANG Vladimir FILKOV Key Laboratory of Parallel and Distributed Computing National University of Defense Technology College of Computer National University of Defense Technology DECAL Lab University of California Computer Science Department University of California
Dear editor,Docker1), as a de-facto industry standard [1], enables the packaging of an application with all its dependencies and execution environment in a light-weight, self-contained unit, i.e., *** launching the co... 详细信息
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Efficient Large Models Fine-tuning on Commodity Servers via Memory-balanced Pipeline parallelism  25
Efficient Large Models Fine-tuning on Commodity Servers via ...
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25th IEEE International Conferences on High Performance computing and Communications, 9th International Conference on Data Science and Systems, 21st IEEE International Conference on Smart City and 9th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC/DSS/SmartCity/DependSys 2023
作者: Liu, Yujie Lai, Zhiquan Liu, Weijie Wang, Wei Li, Dongsheng College of Computer National University of Defense Technology National Key Laboratory of Parallel and Distributed Computing Changsha China
Large models have achieved impressive performance in many downstream tasks. Using pipeline parallelism to fine-tune large models on commodity GPU servers is an important way to make the excellent performance of large ... 详细信息
来源: 评论