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检索条件"任意字段=21st International Symposium on Computer Architecture and High Performance Computing"

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Microblog hotspot discovery method based on improved k-means algorithm 21

Microblog hotspot discovery method based on improved k-means...

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21st IEEE international Conference on high performance computing and Communications, 17th IEEE international Conference on Smart City and 5th IEEE international Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019

作者： Gao, Qiang Feng, Jing School of Computer Science and Technology Wuhan University of Technology Wuhan Hubei China

ISBN: (纸本)9781728120584

The K-means algorithm is one of the most frequently used clustering algorithms in hot topic discovery. However, due to its shortcomings such as the number of clusters K value and easy to fall into local optimum, the clustering accuracy is not high, which directly affects the quality of hotspot discovery. This paper proposes an improved K-means algorithm to achieve fast clustering of microblog texts. Combining the high-frequency words and similarities of the microblog texts to perform single-pass clustering, the K number of clusters and the initial clustering center are obtained, which solves the problem that the K-means algorithm is too sensitive to the K value and the initial center. Through experimental comparison and analysis, it makes up for the shortcomings of K-means algorithm, and effectively improves the efficiency and accuracy of clustering. Applying it to the hot topic discovery model, the effectiveness of the hot spot discovery model based on the improved K-means algorithm is verified by experiments, and it has a high accuracy. © 2019 IEEE.

关键词： K-means clustering

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An auto code generator for stencil on SW26010 21

An auto code generator for stencil on SW26010

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作者： Zhu, Xiaomin Zeng, Yunhui Wei, Yanjie Feng, Shengzhong Liu, Weiguo Balaji, Pavan Joint Engineering Research Center Health Big Data Intelligent Analysis Technology Center for High Performance Computing Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China Shandong Computer Science Center National SuperComputer Center in Jinan Jinan China Sclool of Software Shandong University Jinan China Argonne National Laboratory United States

ISBN: (纸本)9781728120584

stencil is a basic building block widely used in many HPC areas and applications. It generally dominates the time cost and is critical to the overall performance. Given that heterogeneous many-core is frequently adopted to build super computers, porting and optimizing stencil codes on modern accelerator-based architectures is important. Porting is non-trivial, and optimization is more difficult as it requires better understanding of the underlying architecture. As a result, auto tuning targeting on accelerators such as GPU becomes a hot research topic. In this paper, we focus on tuning stencil automatically on SW26010, which is a heterogeneous many-core CPU equipped in Sunway TaihuLight Supercomputer, and mainly work on 2D stencil variants code in ROMS (Regional Ocean Modeling System). The code generator can generate codes running on slave cores for 50+ different FORTRAN stencil-alike loops in ROMS in seconds, and optimization methods are integrated into the generator as well. The performance is better than the directive based method (OpenACC) and the hand-drafted code by a junior programmer, and it is comparable compared with the code written by a senior programmer with several years of programming experience. © 2019 IEEE.

关键词： Supercomputers

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IMCR: Influence maximisation-based cluster routing algorithm for SDVN 21

IMCR: Influence maximisation-based cluster routing algorithm...

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作者： Wang, Chengcheng Ma, Xingjian Jiang, Wenwen Zhao, Liang Lin, Na Shi, Junling School of Computer Science Shenyang Aerospace University Shenyang China

ISBN: (纸本)9781728120584

In recent years, with the continuous development of intelligent transportation, vehicular networking has attracted lots of research attention, in particular, for autonomous driving. Vehicular networking can reduce the number of fatalities and injuries in traffic incidents, and bring enjoyment to people. However, as the dynamic vehicular network is designed to transmit reliable massive amount of data reliably, it still faces issues such as overloading, packet dropping and high latency. Therefore, in this paper, we aim to reduce the overheads and improve the efficiency of the transmission by applying the influence maximisation to the dynamic vehicle networks. We propose a double-cluster head routing algorithm for the software-defined vehicular networks (SDVNs), namely, Influence Maximisation-based Cluster Routing algorithm (IMCR), to improve the efficiency and quality of network communication. In the experiments, the results show that compared with the counting algorithms, the proposed algorithm can provide better performance in efficiency, quality and latency of network transmission. © 2019 IEEE.

关键词： Routing algorithms

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An enhanced lightweight biometric-based three-factor anonymous authentication protocol for mobile cloud computing 21

An enhanced lightweight biometric-based three-factor anonymo...

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作者： Chen, Haixian Xu, Cheng Xu, Zisang Tu, Xiaohan College of Computer Science and Electronic Engineering Hunan University Changsha China

ISBN: (纸本)9781728120584

In mobile cloud computing, mobile devices generally share data with cloud servers through untrusted wireless networks, which leads to security risks. Therefore, it is extremely important to design a secure and effective authentication protocol to ensure the legitimacy of data access in mobile cloud computing. However, existing authentication protocols for mobile environment have various security vulnerabilities, such as failure to resist impersonation attack, ephemeral secret leakage attack and privileged insider attack. Moreover, mobile devices are restricted in computing, communication, and storage resources. Hence, designing a security and efficiency balanced authentication protocol has become a primary challenge for mobile cloud computing. In this paper, we first put forward an enhanced lightweight biometric-based three-factor anonymous authentication protocol for mobile cloud computing, which is based on hash operations, XOR operations, and fuzzy extractor functions. Second, we adopt the automated security verification tool ProVerif to verify security features and robustness, and analyze informal security. Third, we compare the security and complexity of the proposed protocol with other relevant protocols. The results demonstrate that our protocol has lower computation and communication costs while maintaining security. © 2019 IEEE.

关键词： Mobile cloud computing

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CnnSV-Typer: Calling of structural variation genotype based on CUDA acceleration 21

CnnSV-Typer: Calling of structural variation genotype based ...

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作者： Bai, Ruofei Gao, Liwei Ling, Cheng Gao, Jingyang Department of Computer Science and Technology Beijing University of Chemical Technology Beijing China Department of Radiation Oncology China Japan Friendship Hospital Beijing China

ISBN: (纸本)9781728120584

The current methods used for genotype calling are still limited to the length of structural variations and suffer from poor precision and sensitivity. Thus, this paper proposes CnnSV-typer, a deep learning approach which takes two-dimensional images as inputs and calls the variation genotypes. CnnSV-typer is tested and compared with current tools, including CNVnator, Pindel, LUMPY+SVTyper, Delly, GINDEL. The experimental results indicate that CnnSV-typer surpasses other methods on next generation sequencing data of various coverage, and could detect a wider length range of deletion genotypes with the highest precision and sensitivity reaching 99.3% and 99.6% respectively. The compression strategy based on CUDA parallel acceleration can achieve a maximum acceleration ratio of up to 381.3 times, which greatly improves the calling efficiency. © 2019 IEEE.

关键词： Deep learning

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SACC: Configuring application-level cache intelligently for in-memory database based on long short-term memory 21

SACC: Configuring application-level cache intelligently for ...

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作者： Fei, Jiawei Shi, Yang Wen, Mei Zhang, Chunyuan School of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9781728120584

In-memory database can effectively improve the performance of database-centric applications. However, mainstream application-level caching frameworks, such as Memcached, require developers to specify what to cache while developers can hardly understand all intricate details of the application. In this paper, we propose the smart application-level cache configuration (SACC), an automatic cache configuration approach which decouples the cache logic from the application logic. SACC uses the long short term memory model to decide what to cache and then executes caching operation automatically based on the results of the prediction model with no need of manual specifications. We evaluate SACC with both uniform and skewed workloads. Experimental results demonstrate that SACC can significantly improve the performance of application-level cache system. © 2019 IEEE.

关键词： Long short-term memory

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SwFLOW: A dataflow deep learning framework on sunway taihulight supercomputer 21

SwFLOW: A dataflow deep learning framework on sunway taihuli...

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作者： Lin, Han Lin, Zeng Diaz, Jose Monsalve Li, Mingfan An, Hong Gao, Guang R. School of Computer Science and Technology University of Science and Technology of China Hefei China University of Delaware Delaware United States

ISBN: (纸本)9781728120584

Deep learning technology is widely used in many modern fields and a number of deep learning models and software frameworks have been proposed. However, it is still very difficult to process deep learning tasks efficiently on traditional high performance computing (HPC) systems with specialized architectures such as Sunway TaihuLight. In this paper, we propose swFLOW: a TensorFlow-based dataflow deep learning framework on Sunway TaihuLight. Based on the performance analysis results on convolutional neural network (CNN), we optimize the convolution layer, reduce the data layout transpose operation and get 10.42x speedup compared to single management processing element (MPE) version. As for distributed training, we use elastic averaging stochastic gradient descent (EASGD) algorithm to reduce communication and use data prefetch to avoid data fetch being a performance bottleneck. On 512 processes, we get a parallel efficiency of 81.01% with communication period τ = 8. Limited by the maximal executable batch size, the current performance of swFLOW is far from optimal. It is very necessary to further optimize using technology like remote direct memory access (RDMA) and model parallelism. © 2019 IEEE.

关键词： Supercomputers

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Image semantic segmentation using deep convolutional nets, fully connected conditional random fields, and dilated convolution 21

Image semantic segmentation using deep convolutional nets, f...

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作者： Xiao, Degui Zhong, Pei College of Computer Science and Electronic Engineering Hunan University Changsha China

ISBN: (纸本)9781728120584

Deep convolutional neural networks (DCNNs) have recently demonstrated state-of-the-art performance in advanced vision tasks, such as image classification and object detection. This work focuses on solving image semantic segmentation tasks. First, we combine a new feature extraction network with a dilated convolution layer to improve the accuracy of the model's mission. Second, we introduce multi-scale feature fusion technology to improve the performance of DCNN. Third, we combine the DCNN with fully connected conditional random field to overcome the inaccurate positioning of DCNN and optimize their output. Our approach is demonstrated on the PASCAL VOC-2012 Image Semantic Segmentation dataset, where 78.1% IOU accuracy is achieved in the test set. Our approach can compute neural network responses intensively at 9 frames per second on modern GPUs. © 2019 IEEE.

关键词： Convolution

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Authentication and revocation scheme for VANETs based on chinese remainder theorem 21

Authentication and revocation scheme for VANETs based on chi...

引用

作者： Alazzawi, Murtadha A. Chen, Kai Yassin, Ali A. Lu, Hongwei Abedi, Firas School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China Computer Science Dept. Education College for Pure Science University of Basrah Basrah Iraq Computer Technical Engineering Department College of Technical Engineering Islamic University Najaf Iraq

ISBN: (纸本)9781728120584

In addition to the security and privacy challenges in vehicular ad hoc network (VANET), the computational and communicational costs are huge challenges, since they increase the network latency, thus casing to reduce the network's communication efficiency, providing to the attacker with an opportunity to penetrate the network. In this paper, we propose a new scheme to eliminate the mentioned challenges in VANET systems. In the first part of this scheme, we initialize and register the On-Board Units (OBUs) and Road Side Units (RSUs). In the second part, an exchange between the RSU and OBU of mutual authentication and group key generation via Chinese remainder theorem (CRT) as well as using the bloom filter (BF) in broadcasting and verifying beacons. Whereas in the third part, there are two major stages, the first stage occurred when the vehicle leaves the group, and the other stage if the trusted vehicle starts to broadcast bogus information. The proposed scheme overcomes state-of-the-art schemes in security, privacy, and communication and computational costs. Moreover, it provides a convenient low overhead for low latency. © 2019 IEEE.

关键词： Vehicular ad hoc networks

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Adaptive resource management for mission-critical cyber-physical systems 21

Adaptive resource management for mission-critical cyber-phys...

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作者： Hu, Jing Yin, Mengjia Yang, Yuanhua Yuan, Zhaohui School of Computer Wuhan Qingchuan University Wuhan China School of Computer Wuhan University Wuhan China Information Science Hubei Engineering University Xiaogan China School of Software East China Jiaotong University Nanchang China

ISBN: (纸本)9781728120584

Quality of Service (QoS) guaranteed applications in cyber-physical systems(CPS) are facing rigid constraints such as the real-time requirement and energy consumption budget. However, while existing scheduling schemes are efficient to meet the end-to-end deadlines by adaptively adjusting the task loading rate, little efforts has been devoted to improve system service rate and CPU execution modes for minimized system power consumption. In this paper, we present a feedback control based Operation Mode Tuning Scheme (OMTS), to assign proper execution modes on processor for each node. OMTS can adaptively maintains desired task service rate for real-time requirement while minimizing the power consumption. The theoretic analysis and experimental results show that the proposed scheme can provide robust real-time guarantees while reducing power consumption for changing task workloads. © 2019 IEEE.

关键词： Cyber Physical System

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