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检索条件"机构=Science and Technology on Parallel and Distribution Processing Laboratory"
446 条 记 录,以下是311-320 订阅
排序:
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
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
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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
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Big data collaborative artificial intelligence and high-performance computing to drive physical design of fusion
Big data collaborative artificial intelligence and high-perf...
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2022 International Conference on Cloud Computing, Big Data Applications and Software Engineering, CBASE 2022
作者: Liu, Pan Liu, Gongjie Liu, Jie Liu, Chencheng Xiong, Wenbin Tang, Zhangcun Zhou, Yinzhao Wang, Yonggang Yuan, Zhouming Beijng Paratera Technology Corp. Ltd Beijing100000 China National University of Defense Technology Science and Technology on Parallel and Distributed Processing Laboratory Changsha410073 China National University of Defense Technology Laboratory of Software Engineering for Complex Systems Changsha410073 China Central South University of Forestry and Technology Changsha410000 China Nuclear and Radiation Safety Center Mee Beijing100000 China University of Electronic Science and Technology of China Chengdu610000 China Tianfu Innovation Energy Establishment Chengdu610000 China
Controlled thermonuclear fusion has always been a dream pursued by mankind. However, the physical processes of controlled thermonuclear fusion are complex, requiring numerical simulations with high performance computi... 详细信息
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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
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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...
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Optimizing All-to-All Collective Communication on Tianhe Supercomputer
Optimizing All-to-All Collective Communication on Tianhe Sup...
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IEEE International Conference on Big Data and Cloud Computing (BdCloud)
作者: Jintao Peng Jie Liu Yi Dai Min Xie Chunye Gong National University of Defense Technology ChangSha China Science and Technology on Parallel and Distributed Processing Laboratory NUDT Changsha China Changsha and Laboratory of Software Engineering for Complex System NUDT Changsha China
All-to-all communication has a wide range of ap-plications in parallel applications like FFT. On most supercom-puters, there are multiple cores in a node. Message aggregation is an efficient method for smaller message... 详细信息
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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
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A framework to specify and evaluate coordination in MAS with logic
A framework to specify and evaluate coordination in MAS with...
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IEEE/WIC/ACM International Conference on Intelligent Agent technology (IAT)
作者: Xinjun Mao Ji Wang E. Yu Department of Computer Science National University of Defense Technology China National Laboratory for Parallel and Distributed Processing Changsha China Department of Computer Science University of Toronto Canada
We present a framework to specify and evaluate the coordinations in MAS. The framework draws on a MAS logic incorporating a number of temporal and dynamic operators, and has some important characteristics such as high... 详细信息
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A Simulated Annealing Technique for Optimizing Time Warp Simulation
A Simulated Annealing Technique for Optimizing Time Warp Sim...
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International Conference on Computer Modeling and Simulation, ICCMS
作者: Wei Zhang Sina Meraji Jun Wang Carl Tropper National Laboratory of Parallel and Distributed Processing School of Computer Science National University of Defense Technology ChangSha China School of Computer Science McGill University Montreal Canada
According to Moore's law the complexity of VLSI circuits has doubled approximately every two years, resulting in simulation becoming the major bottleneck in the circuit design process. parallel and distributed sim... 详细信息
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