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检索条件"机构=The Science and Technology on Paraller and Distributed Processing Laboratory"
439 条 记 录,以下是301-310 订阅
排序:
UniMESH: The light-weight unidirectional channel Network-on-Chip in 2D mesh topology
UniMESH: The light-weight unidirectional channel Network-on-...
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International Conference on Electronics, Communications and Computers (CONIELECOMP)
作者: Feng Wang Xiantuo Tang Zuocheng Xing Hengzhu Liu Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha Hunan China Institute of Microelectronics National University of Defense Technology Changsha Hunan China
Power consumption, design complexity and areacost are limiting constraints in the design of interconnect for scalable many-core systems. To tackle the power and area concerns, we propose a light-weight unidirectional ... 详细信息
来源: 评论
AUXILIARY-TASKS LEARNING FOR PHYSICS-INFORMED NEURAL NETWORK-BASED PARTIAL DIFFERENTIAL EQUATIONS SOLVING
arXiv
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arXiv 2023年
作者: Yan, Junjun Chen, Xinhai Wang, Zhichao Zhou, Enqiang 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
Physics-informed neural networks (PINNs) have emerged as promising surrogate modes for solving partial differential equations (PDEs). Their effectiveness lies in the ability to capture solution-related features throug... 详细信息
来源: 评论
Enhancing the Security of Parallel Programs via Reducing Scheduling Space
Enhancing the Security of Parallel Programs via Reducing Sch...
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IEEE International Symposium on Dependable, Autonomic and Secure Computing (DASC)
作者: Xu Zhou Gen Li Kai Lu Shuangxi Wang School of Computer National University of Defense Technology Changsha PR China Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha PR China
Parallel programs face a new security problem - concurrency vulnerability, which is caused by a special thread scheduling instead of inputs. In this paper, we propose to automatically fix concurrency vulnerabilities b... 详细信息
来源: 评论
Optimizing Irregular-Shaped Matrix-Matrix Multiplication on Multi-Core DSPs
arXiv
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arXiv 2022年
作者: Yin, Shangfei Wang, Qinglin Hao, Ruochen Zhou, Tianyang Mei, Songzhu 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
General Matrix Multiplication (GEMM) has a wide range of applications in scientific simulation and artificial intelligence. Although traditional libraries can achieve high performance on large regular-shaped GEMMs, th... 详细信息
来源: 评论
ST-PINN: A Self-Training Physics-Informed Neural Network for Partial Differential Equations
arXiv
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arXiv 2023年
作者: Yan, Junjun Chen, Xinhai Wang, Zhichao Zhoui, Enqiang 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
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... 详细信息
来源: 评论
A Novel Run-time Load Balancing Method for MapReduce
A Novel Run-time Load Balancing Method for MapReduce
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International Conference on Computer science and Network technology
作者: Zhihong Liu Yaping Liu Baosheng Wang Zhenghu Gong College of Computer National University of Defense Technology Changsha Hunan China Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha Hunan China
In recent years, many companies are embracing the Hadoop MapReduce system for large-data processing with completion time constrains. However, exiting Hadoop schedulers still suffer from the reducer load imbalancing pr... 详细信息
来源: 评论
Mod (2P-1) Shuffle Memory-Access Instructions for FFTs on Vector SIMD DSPs
Mod (2P-1) Shuffle Memory-Access Instructions for FFTs on Ve...
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IEEE Computer Society Annual Symposium on VLSI
作者: Sheng Liu Hanyan Chen Jianghua Wan Yaohua Wang College of Computer National University of Defense Technology Changsha Hunan China Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha Hunan China
Binary Exchange Algorithm (BEA) always introduces excessive shuffle operations when mapping FFTs on vector SIMD DSPs. This can greatly restrict the overall performance. We propose a novel mod (2P-1) shuffle function a... 详细信息
来源: 评论
Routing with uncertainty in wireless mesh networks
Routing with uncertainty in wireless mesh networks
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International Workshop on Quality of Service
作者: Fajun Chen Jiangchuan Liu Zongpeng Li Yijie Wang Key Laboratory of Science and Technology for National Defence of Parallel and Distributed Processing National University of Defense Technology China School of Computing Science Simon Fraser University Department of Computer Science University of Caglary
Existing routing protocols for Wireless Mesh Networks (WMNs) are generally optimized with statistical link measures, while not addressing on the intrinsic uncertainty of wireless links. We show evidence that, with the... 详细信息
来源: 评论
A Fast Adversarial Sample Detection Approach for Industrial Internet-of-Things Applications
A Fast Adversarial Sample Detection Approach for Industrial ...
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International Workshop on Quality of Service
作者: Shigeng Zhang Yudong Li Shuxin Chen Xuan Li Jian Zhang School of Computer Science and Engineering Central South University College of Computer Science and Electronic Engineering Hunan University The Science and Technology on Parallel and Distributed Processing Laboratory (PDL) China
Adversarial attacks reveal the inherent vulnerability of deep neural networks, which face serious security issues for their security. Among them, the attack against the Deep Neural Network (DNN) application used in th...
来源: 评论
NUMA-aware FFT-based Convolution on ARMv8 Many-core CPUs
NUMA-aware FFT-based Convolution on ARMv8 Many-core CPUs
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IEEE International Conference on Big Data and Cloud Computing (BdCloud)
作者: Xiandong Huang Qinglin Wang Shuyu Lu Ruochen Hao Songzhu Mei Jie Liu Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha China School of Computer Science National University of Defense Technology Changsha China University of Pittsburgh Pittsburgh USA
Convolutional Neural Networks (CNNs), one of the most representative algorithms of deep learning, are widely used in various artificial intelligence applications. Convolution operations often take most of the computat... 详细信息
来源: 评论