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检索条件"机构=Key Laboratory of Computer System and Architecture Institute of Computing Technology"
1013 条 记 录,以下是521-530 订阅
排序:
A Tamper-resistance key Pre-distribution Scheme for Wireless Sensor Networks
A Tamper-resistance Key Pre-distribution Scheme for Wireless...
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International Conference on Grid and Cooperative computing Workshops (GCCW)
作者: Lei Xie Hongsong Zhu Yongjun Xu Yuefei Zhu Institute of Information Engineering Information and Engineering University Zhengzhou China Advanced Test Technology Laboratory Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy and Sciences Beijing China
Wireless sensor network (WSN), which is integrated with many technologies such as sensor, embedded computing, wireless communication and distributed information processing etc., is becoming an important branch of ubiq... 详细信息
来源: 评论
Imperceptible and Sparse Adversarial Attacks via a Dual-Population-Based Constrained Evolutionary Algorithm
IEEE Transactions on Artificial Intelligence
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IEEE Transactions on Artificial Intelligence 2023年 第2期4卷 268-281页
作者: Tian, Ye Pan, Jingwen Yang, Shangshang Zhang, Xingyi He, Shuping Jin, Yaochu Anhui University Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Institutes of Physical Science and Information Technology Hefei230601 China Hefei Comprehensive National Science Center Institute of Artificial Intelligence Hefei230088 China Anhui University School of Computer Science and Technology Hefei230601 China Anhui University Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Artificial Intelligence Hefei230601 China Anhui University Anhui Engineering Laboratory of Human-Robot Integration System and Intelligent Equipment School of Electrical Engineering and Automation Hefei230601 China Bielefeld University Faculty of Technology Bielefeld33619 Germany
The sparse adversarial attack has attracted increasing attention due to the merit of a low attack cost via changing a small number of pixels. However, the generated adversarial examples are easily detected in vision s... 详细信息
来源: 评论
Predoop: Preempting reduce task for job execution accelerations
Lecture Notes in Computer Science (including subseries Lectu...
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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8807卷 167-180页
作者: Liang, Yi Wang, Yufeng Fan, Minglu Zhang, Chen Zhu, Yuqing Department of Computer Science Beijing University of Technology Beijing China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy Sciences Beijing China
Map/Reduce is a popular parallel processing framework for data intensive computing. For overlapping the Map task’s execution phase and the Reduce task’s intermediate data fetching and merging phase, existing Map/Red... 详细信息
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Modeling the Impact of DVFS on Performance of Applications in Datacenter
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Ruan Jian Xue Bao/Journal of Software 2017年 第4期28卷 845-859页
作者: Li, Deng-Hui Zhao, Jia-Cheng Cui, Hui-Min Feng, Xiao-Bing State Key Laboratory of Computer Architecture Institute of Computing Technology The Chinese Academy of Sciences Beijing100190 China School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing100049 China
Datacenters are built to house massive internet services at an affordable price. Both Op-ex (long-time operational expenditure) and Cap-ex (one-time construction costs) are directly impacted by datacenter power consum... 详细信息
来源: 评论
Providing fairness on shared-memory multiprocessors via process scheduling  12
Providing fairness on shared-memory multiprocessors via proc...
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12th Joint International Conference on Measurement and Modeling of computer systems, ACM SIGMETRICS/Performance 2012
作者: Xu, Di Wu, Chenggang Yew, Pen-Chung Li, Jianjun Wang, Zhenjiang State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China Graduate University Chinese Academy of Sciences Beijing China Department of Computer Science and Engineering University of Minnesota at Twin-Cities MN United States Institute of Information Science Academia Sinica Taiwan
Competition for shared memory resources on multiprocessors is the most dominant cause for slowing down applications and makes their performance varies unpredictably. It exacerbates the need for Quality of Service (QoS... 详细信息
来源: 评论
Multiple-combinational-channel: A network architecture for workload balance and deadlock free
Multiple-combinational-channel: A network architecture for w...
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作者: Chen, Liwei Wang, Yipeng Wang, Huandong Wang, Wenxiang Jing, Hua Zhang, Guangfei Institute of Information Engineering Chinese Academy of Sciences Beijing China State Key Laboratory of Computer Architecture Chinese Academy of Sciences Beijing China Institute of Computing Technology Chinese Academy of Sciences Beijing China Loongson Technology Corporation Limited Beijing China Shannon Laboratory Huawei Technologies Co. Beijing China
As the number of cores in chip multiprocessors (CMPs) increases rapidly, network-on-chips (NoCs) have become the major role in ensuring performance and power scalability. In this paper, we propose multiple-combination... 详细信息
来源: 评论
LazyGraph: Lazy Data Coherency for Replicas in Distributed Graph-Parallel Computation
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ACM SIGPLAN Notices 2018年 第1期53卷 276-289页
作者: Wang, Lei Zhuang, Liangji Chen, Junhang Cui, Huimin Lv, Fang Liu, Ying Feng, Xiaobing State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences China
Replicas 1 of a vertex play an important role in existing distributed graph processing systems which make a single vertex to be parallel processed by multiple machines and access remote neighbors locally without any r... 详细信息
来源: 评论
High-performance genomic analysis framework with in-memory computing
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ACM SIGPLAN Notices 2018年 第1期53卷 317-328页
作者: Li, Xueqi Tan, Guangming Wang, Bingchen Sun, Ninghui State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences China
In this paper, we propose an in-memory computing framework (called GPF) that provides a set of genomic formats, APIs and a fast genomic engine for large-scale genomic data processing. Our GPF comprises two main compon... 详细信息
来源: 评论
SelectCast: Scalable data aggregation scheme in wireless sensor networks
SelectCast: Scalable data aggregation scheme in wireless sen...
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IEEE INFOCOM 2011
作者: Wang, Cheng Tang, Shaojie Li, Xiang-Yang Jiang, Changjun Department of Computer Science Tongji University Shanghai China Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai China Department of Computer Science Illinois Institute of Technology Chicago IL 60616 United States TNLIST School of Software Tsinghua University China
In this work, for a wireless sensor network (WSN) of n randomly placed sensors with node density λ ∈ [1, n], we study the tradeoffs between the aggregation throughput and gathering efficiency. The gathering efficien... 详细信息
来源: 评论
Data motifs: A lens towards fully understanding big data and ai workloads
arXiv
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arXiv 2018年
作者: Gao, Wanling Zhan, Jianfeng Wang, Lei Luo, Chunjie Zheng, Daoyi Tang, Fei Xie, Biwei Zheng, Chen Wen, Xu He, Xiwen Ye, Hainan Ren, Rui State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences Beijing Academy of Frontier Sciences and Technology
The complexity and diversity of big data and AI workloads make understanding them difficult and challenging. This paper proposes a new approach to modelling and characterizing big data and AI workloads. We consider ea... 详细信息
来源: 评论