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检索条件"机构=Key Laboratory of Computer System and Architeture Institute of Computing Technology"
517 条 记 录,以下是471-480 订阅
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Cache adaptive write allocate policy
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Jisuanji Yanjiu yu Fazhan/computer Research and Development 2007年 第2期44卷 348-354页
作者: Huan, Dandan Li, Zusong Hu, Weiwu Liu, Zhiyong Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Graduate University Chinese Academy of Sciences Beijing 100049 China
The bandwidth becomes the major bottleneck of the performance improvement for modern microprocessors. A cache adaptive write allocate policy that improves the bandwidth of microprocessor significantly is proposed by i... 详细信息
来源: 评论
Dependability evaluation system based on microprocessor function model
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Jisuanji Xuebao/Chinese Journal of computers 2008年 第3期31卷 391-399页
作者: Zhang, Shi-Jian Xu, Tong Zhang, Long-Bing Hu, Wei-Wu Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Graduate University Chinese Academy of Sciences Beijing 100039 China
With the widespread adoption of embedded microprocessor-based systems in safety critical applications, such as aircrafts, spaceships and nuclear power plants, how to rapidly and conveniently evaluate these fault-toler... 详细信息
来源: 评论
Study on blocked LU decomposition on many-core architecture
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Gaojishu Tongxin/Chinese High technology Letters 2011年 第3期21卷 248-253页
作者: Yu, Lei Liu, Zhiyong Ma, Yike Song, Fenglong Xu, Weizhi Ye, Xiaochun Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Graduate University of Chinese Academy of Sciences Beijing 100039 China
The authors studied the scientific application LU decomposition deeply. A speedup model for LU decomposition was proposed, and an algorithm for LU decomposition based on bit reverse xor (BRX) was implemented. Then a d... 详细信息
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Innovative architecture-level power estimation methodology for godson processor
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Jisuanji Yanjiu yu Fazhan/computer Research and Development 2007年 第5期44卷 782-789页
作者: Huang, Kun Zhang, Longbing Hu, Weiwu Zhang, Ge Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Graduate University Chinese Academy of Sciences Beijing 100049 China
Now the research of computer architecture focuses on how to utilize the energy of CPU to attain high performance as much as possible. Obviously the architecture-level power estimation tool is important. Existing archi... 详细信息
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Address register promotion method based on feedbacks
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Jisuanji Yanjiu yu Fazhan/computer Research and Development 2009年 第4期46卷 698-704页
作者: Zhang, Chao Lü, Fang Wang, Lei Feng, Xiaobing Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Graduate University Chinese Academy of Sciences Beijing 100049 China
In processor architectures such as MIPS, ALPHA, SPARC and PowerPC, indirect addressing mode is always adopted to access global variables and static ones. Since the addresses of these variables and the corresponding va... 详细信息
来源: 评论
DSC: Deep scan context descriptor for large-scale place recognition
arXiv
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arXiv 2021年
作者: Cui, Jiafeng Huang, Tengfei Cai, Yingfeng Zhao, Junqiao Xiong, Lu Yu, Zhuoping School of Automobile Tongji University Shanghai China Department of Computer Science and Technology School of Electronics and Information Engineering Tongji University Shanghai China The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China Institute of Intelligent Vehicles Tongji University Shanghai China
LiDAR-based place recognition is an essential and challenging task both in loop closure detection and global relocalization. We propose Deep Scan Context (DSC), a general and discriminative global descriptor that capt... 详细信息
来源: 评论
CSformer: Bridging Convolution and Transformer for Compressive Sensing
arXiv
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arXiv 2021年
作者: Ye, Dongjie Ni, Zhangkai Wang, Hanli Zhang, Jian Wang, Shiqi Kwong, Sam The Department of Computer Science City University of Hong Kong 999077 Hong Kong The Department of Computer Science & Technology Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai200092 China The School of Electronic and Computer Engineering Peking University Shenzhen Graduate School Shenzhen518055 China The Peng Cheng Laboratory Shenzhen518052 China The City University of Hong Kong Shenzhen Research Institute Shenzhen518057 China
Convolution neural networks (CNNs) have succeeded in compressive image sensing. However, due to the inductive bias of locality and weight sharing, the convolution operations demonstrate the intrinsic limitations in mo... 详细信息
来源: 评论
Low-Light Enhancement Effect on Classification and Detection: An Empirical Study
arXiv
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arXiv 2024年
作者: Wu, Xu Lai, Zhihui Jie, Zhou Gao, Can Hou, Xianxu Zhang, Ya-Nan Shen, Linlin The Computer Vision Institute College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen518060 China Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University Shenzhen518060 China School of AI and Advanced Computing Xi’an Jiaotong-Liverpool University China The National Engineering Laboratory for Big Data System Computing Technology Shenzhen University SZU Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society Guangdong Shenzhen518060 China
Low-light images are commonly encountered in real-world scenarios, and numerous low-light image enhancement (LLIE) methods have been proposed to improve the visibility of these images. The primary goal of LLIE is to g... 详细信息
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Research on rough set theory and applications in China
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Lecture Notes in computer Science
作者: Wang, Guoyin Zhang, Qinghua Huang, Houkuan Ye, Dongyi Hu, Qinghua Hu, Xuegang Shi, Zhongzhi Li, Yongli Shang, Lin An, Liping Sai, Ying Chen, Shanben Liang, Jiye Qin, keyun Zeng, Huanglin Xie, Keming Miao, Duoqian Min, Fan Wu, Zhaocong Wu, Weizhi Dai, Jianhua Institute of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing 400065 China School of Information Science and Technology Southwest Jiaotong University Chengdu 610031 China School of Computer and Information Technology Beijing Jiaotong University Beijing 100044 China College of Math. and Computer Fuzhou University Fuzhou 350002 China Harbin Institute of Technology PO Box 458 Harbin 150006 China School of Computer and Information Hefei University of Technology Hefei 230009 China Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Lanzhou University No.222 Tianshui South Rd. Lanzhou 730000 China State Key Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China Management Science and Engineering Department Business School Nankai University Tianjin 300071 China Shandong University of Finance No.40 Shun-geng Road Jinan 250014 China Welding Engineering Institute Shanghai Jiaotong University Shanghai 200030 China School of Computer and Information Technology Shanxi University Taiyuan 030006 China Intelligent Control Development Center Southwest Jiaotong University Chengdu 610031 China Artificial Intelligence of Key Laboratory Sichuan University of Science and Engineering Zigong 643000 China Department of Automation College of Information Engineering Taiyuan University of Technology Taiyuan 030024 China 4800 CaoAn Highway Shanghai 201804 China School of Computer Science and Technology University of Electronic Science and Technology of China Chengdu 610054 China School of Remote Sensing Information Engineering Wuhan University Wuhan 430079 China Institute for Information and System Sciences Faculty of Science Xi'an Jiaotong University Xi'an 710049 China Information College Zhejiang Ocean University Zhejiang 316004 China Institute of Artificial Intelligence Zhejiang University Hangzhou 310027 China
This article gives a capsule view of research on rough set theory and applications ongoing at universities and laboratories in China. Included in this capsule view of rough set research is a brief description of the f... 详细信息
来源: 评论
Using Data-Level Parallelism to Accelerate Instruction -Level Redundancy
Using Data-Level Parallelism to Accelerate Instruction -Leve...
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World Automation Congress
作者: Yu Hu Zhong liang Chen Xiaowei Li Key Laboratory of Computer System and Architecture Institute of Computing Technology CAS Beijing 100190 China Department of Electrical and Computer Engineering Northeastern University Boston MA 02115 USA
Instruction-level redundancy is an effective scheme to reduce the susceptibility of microprocessors to soft errors, offering high error detection and recovery capability;however, it usually incurs significant performa... 详细信息
来源: 评论