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检索条件"任意字段=10th International Conference on Algorithms and Architectures for Parallel Processing"

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parallel Feature Selection Using Positive Approximation Based on MapReduce

Parallel Feature Selection Using Positive Approximation Base...

引用

the 2014 10th international conference on Natural Computation (ICNC 2014) and the 2014 11th international conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014)(第十届自然计算和第十一届模糊系统与知识发现国际会议)

作者： Qing He Zhongzhi Shi Fuzhen Zhuang Xiaohu Cheng The Key Laboratory of Intelligent Information Processing Institute of Computing TechnologyChinese A The Key Laboratory of Intelligent Information Processing Institute of Computing TechnologyChinese A

ISBN: (纸本)9781479951499

Over the last few decades,feature selection has been a hot research area in pattern recognition and machine learning,and many famous feature selection algorithms have been *** them,feature selection using positive approximation(FSPA)is an accelerator for traditional rough set based feature selection algorithms,which can significantly reduce the running ***,FSPA still cannot handle large scale and high dimension dataset due to the memory *** this paper,we propose a parallel implementation of FSPA using MapReduce framework,which is a programming model for processing large scale *** experimental results demonstrate that the proposed algorithm can process large scale and high dimension dataset efficiently on commodity computers.

关键词： Computers Approximation methods Approximation algorithms Algorithm design and analysis Arrays Machine learning algorithms Computational modeling

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Accelerated solution of Helmholtz equation with Iterative Krylov Methods on GPU 16

Accelerated solution of Helmholtz equation with Iterative Kr...

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16th IEEE Int Conf on High Performance Computing and Communications/11th IEEE Int Conf on Embedded Software and Systems\6th Int Symposium on Cyberspace Safety and Security

作者： Ahamed, Abal-Kassim Cheik Magoules, Frederic Ecole Cent Paris CUDA Res Ctr Chatenay Malabry France

ISBN: (纸本)9781479961238

this paper gives an analysis and an evaluation of linear algebra operations on Graphics processing Unit (GPU) with complex number arithmetics with double precision. Knowing the performance of these operations, iterative Krylov methods are considered to solve the acoustic problem efficiently. Numerical experiments carried out on a set of acoustic matrices arising from the modelisation of acoustic phenomena within a cylinder and a car compartment are exposed, exhibiting the performance, robustness and efficiency of our algorithms, with a ratio up to 27x for dot product, 10x for sparse matrix-vector product and solvers in complex double precision arithmetics.

关键词： Krylov method Linear algebra operation Sparse matrix Graphics processing Unit CUDA parallel computing Acoustic Helmholtz equation

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One Possibility of Signal processing

One Possibility of Signal Processing

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ELEKTRO 10th international conference

作者： Cervenova, Jozefa Hajro, Lukas FEI STU Inst Elect Engn Bratislava Slovakia FEI STU Inst Elect & Photon Bratislava Slovakia

ISBN: (纸本)9781479937219

the article describes created measurement setup equipped with a user interface allowing parallel measurement of transient phenomena in electrical circuits and harmonic analysis of nonharmonic signals in electrical circuits. Detailed explanation of created user interface created in the programming environment MATLAB and its advantages in usage are given.

关键词： transient response signal processing harmonic analysis MATLAB

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Fast triangle counting on the GPU 4

Fast triangle counting on the GPU

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4th Workshop on Irregular Applications: architectures and algorithms, IA3 2014

作者： Green, Oded Yalamanchili, Pavan Munguía, Lluís-Miquel ArrayFire AtlantaGA United States Georgia Institute of Technology AtlantaGA United States

ISBN: (纸本)9781479970568

Triangle counting in a graph is a building block for clustering coefficients which is a widely used social network analytic for finding key players in a network based on their local connectivity. In this paper we show the first scalable GPU implementation for triangle counting. Our approach uses a new list intersection algorithm called Intersect Path (named after the Merge Path algorithm). this algorithm has two levels of parallelism. the first level partitions the vertices to the streaming multiprocessors on the GPU. the second level is responsible for parallelizing the work across the GPU's streaming processors and utilizing different block sizes. For testing purposes, we used graphs taken from the DIMACS 10 Graph Challenge. Our experiments were conducted on NVIDIA's K40 GPU. Our GPU triangle counting implementation achieves speedups in the range of 9X - 32X over a CPU sequential implementation. © 2014 IEEE.

关键词： parallel programming

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Performance Optimization of a CFD Application on Intel Multicore and Manycore architectures

Performance Optimization of a CFD Application on Intel Multi...

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10th Annual conference of Advanced Computer Architecture, ACA 2014

作者： Che, Yonggang Zhang, Lilun Wang, Yongxian Xu, Chuanfu Liu, Wei Cheng, Xinghua Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha China

ISBN: (纸本)9783662444900

this paper reports our experience optimizing the performance of a high-order and high accurate Computational Fluid Dynamics (CFD) application (HOSTA) on the state of art multicore processor and the emerging Intel Many Integrated Core (MIC) coprocessor. We focus on effective loop vectorization and memory access optimization. A series techniques, including data structure transformations, procedure inlining, compiler SIMDization, OpenMP loop collapsing, and the use of Huge Pages, are explored. Detailed execution time and event counts from Performance Monitoring Units are measured. the results show that our optimizations have improved the performance of HOSTA by 1.61× on a two Intel Sandy Bridge processors based computer node and 1.97× on a Intel Knights Corner coprocessor, the public MIC product. the microarchitecture level effects of these optimizations are also discussed. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Computational fluid dynamics

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Improving parallel I/O Performance Using Multithreaded Two-Phase I/O with Processor Affinity Management

Improving Parallel I/O Performance Using Multithreaded Two-P...

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10th international conference on parallel processing and Applied Mathematics (PPAM)

作者： Tsujita, Yuichi Yoshinaga, Kazumi Hori, Atsushi Sato, Mikiko Namiki, Mitaro Ishikawa, Yutaka RIKEN Adv Inst Computat Sci Kobe Hyogo Japan Tokyo Univ Agr & Technol Tokyo Japan Univ Tokyo Tokyo Japan JST CREST Tokyo Japan

ISBN: (纸本)9783642552243

I/O has been one of the performance bottlenecks in parallel computing. Using a parallel I/O API such as MPI-IO is one effective approach to improve parallel computing performance. the most popular MPI-IO implementation, ROMIO, utilizes two-phase I/O technique for collective I/O for non-contiguous access patterns. Furthermore, such two-phase I/O is frequently used in application oriented parallel I/O libraries such as HDF5 through an MPI-IO interface layer. therefore performance improvement in the two-phase I/O may have a big impact in improving I/O performance in parallel computing. We report enhancements of the two-phase I/O by using Pthreads in order to improve I/O performance in this paper. the enhancements include overlapping scheme between file I/O and data exchanges by multithreaded operations and the processor affinity for threads dedicated for file I/O and data exchanges. We show performance advantages of the optimized two-phase I/O with an appropriate processor affinity management relative to the original two-phase I/O in parallel I/O throughput evaluation of HDF5.

关键词： MPI-IO HDF5 Two-phase I/O Multithreaded I/O Processor affinity management

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A Simple and Real-time parallel Compression of Time Series Scientific Simulation Data For Interactive and Cooperative Supercomputing 10

A Simple and Real-time Parallel Compression of Time Series S...

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10th international conference on Computational Intelligence and Security CIS 2014

作者： Liu, WenJuan Hei, XinHong Fukuma, Shinji Mori, Shin-ichiro Xian Univ Technol Comp Sci & Engn Xian Shaanxi Peoples R China Univ Fukui Engn Grad Sch Engn Fukui Fukui Japan

ISBN: (纸本)9781479974344

In order to realize a cooperative supercomputing environment, Large-scale scientific simulation data should be exchanged among supercomputers over the internet. To maintain the interactivity of the time-series simulation in such an environment, real-time data compression is required. Given the accuracy requirements of scientific simulation, we only focus on lossless data compression. In this paper, we propose think Mantissa as Integer method to decrease the entropy of scientific datasets, achieving a good compression ratio and speeds. We evaluate this scheme in two experiments and compare it with the existing compression strategies (gzip, bzip2). Our approach gets about a 30% improvement in the compression ratio and hundreds of times speed acceleration. We also computed the total time of the data transfer using this method under some specific bandwidth cases, and nearly all of them have gotten a good acceleration.

关键词： Lossless compression parallel processing Real-time Interaction Supercomputing

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parallel Bounded Model Checking of Security Protocols

Parallel Bounded Model Checking of Security Protocols

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10th international conference on parallel processing and Applied Mathematics (PPAM)

作者： Kurkowski, Miroslaw Siedlecka-Lamch, Olga Szymoniak, Sabina Piech, Henryk Univ Luxembourg Comp Sci & Commun 6 Rue Richard Coudenhove Kalergi L-1359 Luxembourg Luxembourg Czestochowa Tech Univ Inst Comp & Informat Sci Czestochowa Poland

ISBN: (纸本)9783642552243

the verification of security protocols is a difficult process taking into consideration a concept and computations. the difficulties start just during the appropriate adequate protocol specification, and during studying its properties. In case of the computation connected with constructing and searching of the modeling structures of protocol execution and scattered knowledge of the users, the problems are the sizes of those structures. For small values of parameters such as numbers of sessions, users, or encryption keys the proper models are usually not very big, and searching them is not a problem, however in case of increasing the values of the above mentioned parameters, the models are sometimes too big, and there is no possibility to construct them nor search properly. In order to increase the values of studying protocol parameters, and necessary increase the computation effectiveness, the appropriate solutions must be introduced. In the article, the solutions which enable full and effective parallelization of the computations during automatic verification of security protocols are introduced. the suitable experimental results are also presented.

关键词： Security protocols Model checking parallel computations

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parallel One-Sided Jacobi SVD Algorithm with Variable Blocking Factor

Parallel One-Sided Jacobi SVD Algorithm with Variable Blocki...

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10th international conference on parallel processing and Applied Mathematics (PPAM)

作者： Becka, Martin Oksa, Gabriel Slovak Acad Sci Inst Math Bratislava Slovakia

ISBN: (纸本)9783642552243

parallel one-sided block-Jacobi algorithm for the matrix singular value decomposition (SVD) requires an efficient computation of symmetric Gram matrices, their eigenvalue decompositions (EVDs) and an update of matrix columns and right singular vectors by matrix multiplication. In our recent parallel implementation with p processors and blocking factor l = 2p, these tasks are computed serially in each processor in a given parallel iteration step because each processor contains exactly two block columns of an input matrix A. However, as shown in our previous work, with increasing p (hence, with increasing blocking factor) the number of parallel iteration steps needed for the convergence of the whole algorithm increases linearly but faster than proportionally to p, so that it is hard to achieve a good speedup. We propose to break the tight relation. = 2p and to use a small blocking factor l = p/k for some integer k that divides p,. even. the algorithm then works with pairs of logical block columns that are distributed among processors so that all computations inside a parallel iteration step are themselves parallel. We discuss the optimal data distribution for parallel subproblems in the one-sided block-Jacobi algorithm and analyze its computational and communication complexity. Experimental results with full matrices of order 8192 show that our new algorithm with a small blocking factor is well scalable and can be 2-3 times faster than the ScaLAPACK procedure PDGESVD.

关键词： Singular value decomposition Serial one-sided Jacobi algorithm parallel one-sided block-Jacobi algorithm

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parallel Image Texture Feature Extraction under Hadoop Cloud Platform

Parallel Image Texture Feature Extraction under Hadoop Cloud...

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10th international conference on Intelligent Computing (ICIC)

作者： Zhu, Hao-Dong Shen, Zhen Shang, Li Zhang, Xiao-Ping ZhengZhou Univ Light Ind Sch Comp & Commun Engn Zhengzhou 450002 Henan Peoples R China Suzhou Vocat Univ Dept Commun Technol Coll Elect Informat Engn Suzhou Peoples R China Tongji Univ Shanghai Coll Elect & Informat Engn Shanghai Peoples R China

ISBN: (纸本)9783319093338;9783319093321

With the increasing amount of digital image data, massive image process and feature extraction process have become a time-consuming process. As an excellent mass data processing and storage capacity of the open source cloud platform, Hadoop provides a parallel computing model MapReduce, HDFS distributed file system module. Firstly, we introduced Hadoop platform programming framework and Tamura texture features. And then, the image processing and feature texture feature extraction calculations involved in the process to achieve Hadoop platform. the results which comparison with Matlab platform shows it is less obvious advantage of Hadoop platform in image processing and feature extraction of lower-resolution images, but for image processing and feature extraction of high-resolution images, the time spent in Hadoop platform is greatly reducing, data processing capability the advantages is obvious.

关键词： Hadoop Tamura Texture Feature Image processing Feature Extraction

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