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检索条件"机构=Key Laboratory of Computer System and Architecture Institute of Computing Technology"
1017 条 记 录,以下是341-350 订阅
排序:
CuckooPIM: An Efficient and Less-Blocking Coherence Mechanism for Processing-in-Memory systems  19
CuckooPIM: An Efficient and Less-Blocking Coherence Mechanis...
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Asia and South Pacific Design Automation Conference
作者: Sheng Xu Xiaoming Chen Ying Wang Yinhe Han Xiaowei Li Cyber Computing Laboratory State Key Laboratory of Computer Architecture Chinese Academy of Sciences Institute of Computing Technology University of Chinese Academy of Sciences
The ever-growing processing ability of in-memory processing logic makes the data sharing and coherence between processors and in-memory logic play an increasingly important role in Processing-in-Memory (PIM) systems. ...
来源: 评论
The static parallel distribution algorithms for hybrid density-functional calculations in HONPAS package
arXiv
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arXiv 2020年
作者: Qin, Xinming Shang, Honghui Xu, Lei Hu, Wei Yang, Jinlong Li, Shigang Zhang, Yunquan State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China Hefei National Laboratory for Physical Sciences at Microscale Department of Chemical Physics Synergetic Innovation Center of Quantum Information and Quantum Physics University of Science and Technology of China Hefei Anhui230026 China
Hybrid density-functional calculation is one of the most commonly adopted electronic structure theory used in computational chemistry and materials science because of its balance between accuracy and computational cos... 详细信息
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The dynamic parallel distribution algorithm for hybrid density-functional calculations in HONPAS package
arXiv
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arXiv 2020年
作者: Shang, Honghui Xu, Lei Wu, Baodong Qin, Xinming Zhang, Yunquan Yang, Jinlong State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China Hefei National Laboratory for Physical Sciences at Microscale Department of Chemical Physics Synergetic Innovation Center of Quantum Information and Quantum Physics University of Science and Technology of China Hefei Anhui230026 China
This work presents a dynamic parallel distribution scheme for the Hartree-Fock exchange (HFX) calculations based on the real-space NAO2GTO framework. The most time-consuming electron repulsion integrals (ERIs) calcula... 详细信息
来源: 评论
A knowledge acquisition automatizing framework from literature exemplified by Na + activation energy prediction of NASICON solid-state electrolyte
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Energy Storage Materials 2025年 80卷
作者: Yue Liu Dahui Liu Zhengwei Yang Xianyuan Ge Wenxuan Yao Jie Wu Maxim Avdeev Siqi Shi State Key Laboratory of Materials for Advanced Nuclear Energy & School of Computer Engineering and Science Shanghai University Shanghai 200444 China Shanghai Engineering Research Center of Intelligent Computing System Shanghai 200444 China Australian Nuclear Science and Technology Organisation Sydney 2232 Australia School of Chemistry The University of Sydney Sydney 2006 Australia State Key Laboratory of Materials for Advanced Nuclear Energy & School of Materials Science and Engineering Shanghai University Shanghai 200444 China Materials Genome Institute Shanghai University Shanghai 200444 China
Materials science literature contains vast amount of structure-activity relationship knowledge crucial for materials discovery and design. However, automatic extraction of domain knowledge from literature remains chal... 详细信息
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Energy Saving Strategy of Power system Cluster Based on Container Virtualization
Energy Saving Strategy of Power System Cluster Based on Cont...
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IEEE Asia Power and Energy Engineering Conference (APEEC)
作者: Ran Zheng Hao Wang Hai Jin Dechao Xu Yong Chen Xiaomeng Li Yufei Rao Zhenan Zhang National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China State Key Laboratory of Power Grid Safety and Energy Conservation China Electric Power Research Institute Haidian District Beijing China State Grid Henan Electric Power Company Electric Power Research Institute Zhengzhou China
With the continuous development of power grids, the scale of supercomputing clusters has also gradually increased to carry a large number of power system simulation calculations, and the problem of high energy consump...
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Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge Devices
arXiv
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arXiv 2020年
作者: Li, Guangli Ma, Xiu Wang, Xueying Liu, Lei Xue, Jingling Feng, Xiaobing State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100190 China College of Computer Science and Technology Jilin University Changchun130012 China School of Computer Science and Engineering University of New South Wales SydneyNSW2052 Australia
The increasing computational cost of deep neural network models limits the applicability of intelligent applications on resource-constrained edge devices. While a number of neural network pruning methods have been pro... 详细信息
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A Non-Stop Double Buffering Mechanism for Dataflow architecture
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Journal of computer Science & technology 2018年 第1期33卷 145-157页
作者: Xu Tan Xiao-Wei Shen Xiao-Chun Ye Da Wang Dong-Rui Fan Lunkai Zhang Wen-Ming Li Zhi-Min Zhang Zhi-Min Tang State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing 100049 China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi 214125 China Department of Computer Science The University of Chicago Chicago IL 60637 U.S.A.
Double buffering is an effective mechanism to hide the latency of data transfers between on-chip and off-chip memory. However, in dataflow architecture, the swapping of two buffers during the execution of many tiles d... 详细信息
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Optimizing Multi-Dimensional Packet Classification for Multi-Core systems
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Journal of computer Science & technology 2018年 第5期33卷 1056-1071页
作者: Tong Shen Da-Fang Zhang Gao-Gang Xie Xin-Yi Zhang College of Computer Science and Electronic Engineering Hunan University Changsha 410082 China Network Technology Research Center Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China University of Chinese Academy of Sciences Beijing 100049 China
Packet classification has been studied for decades; it classifies packets into specific flows based on a given rule set. As software-defined network was proposed, a recent trend of packet classification is to scale th... 详细信息
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Cooperative communication based connectivity recovery for UAV networks  19
Cooperative communication based connectivity recovery for UA...
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2019 ACM Turing Celebration Conference - China, ACM TURC 2019
作者: Tian, Wen Jiao, Zhenzhen Liu, Min Zhang, Meng Li, Dong State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China RDA FOA ART-CN1 Corporate Technology Siemens Ltd. Beijing100102 China
UAV networks often partition into separated clusters due to the high node and link dynamic. As a result, network connectivity recovery is an important issue in this area. Existing solutions always need excessive movem... 详细信息
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AIBench training: Balanced industry-standard AI training benchmarking
arXiv
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arXiv 2020年
作者: Tang, Fei Gao, Wanling Zhan, Jianfeng Lan, Chuanxin Wen, Xu Wang, Lei Luo, Chunjie Cao, Zheng Xiong, Xingwang Jiang, Zihan Hao, Tianshu Fan, Fanda Zhang, Fan Huang, Yunyou Chen, Jianan Du, Mengjia Ren, Rui Zheng, Chen Zheng, Daoyi Tang, Haoning Zhan, Kunlin Wang, Biao Kong, Defei Yu, Minghe Tan, Chongkang Li, Huan Tian, Xinhui Li, Yatao Shao, Junchao Wang, Zhenyu Wang, Xiaoyu Dai, Jiahui Ye, Hainan State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences China Alibaba Baidu Tencent *** NetEase ByteDance Zhihu China Lenovo Paypal Moqi Microsoft Research Asia *** CloudTa Intellifusion
Earlier-stage evaluations of a new AI architecture/system need affordable AI benchmarks. Only using a few AI component benchmarks like MLPerf alone in the other stages may lead to misleading conclusions. Moreover, the... 详细信息
来源: 评论