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共 511 条记录，以下是291-300 订阅

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Progressive Differentiable Architecture Search Based Automatic Modulation Classification Method

Progressive Differentiable Architecture Search Based Automat...

引用

international symposium on parallel architectures, algorithms and programming (PAAP)

作者： Xiaofeng Chen Xixi Zhang Yu Wang Jie Yang Guan Gui Hikmet Sari College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781665452199

Automatic modulation classification (AMC) is a key step of signal demodulation that determines whether the receiver can correctly receive the modulation type of the transmitted signal without prior knowledge. Deep learning (DL) based AMC methods have achieved excellent performances. However, these methods highly rely on expert experience to design network structures. These hand-designed networks have fixed structures and lack flexibility, which often leads to insufficient model generalization. Neural architecture search (NAS) is a vital direction for automatic machine learning (AutoML) which can solve the shortcomings of hand-designed networks. In this paper, we propose a lightweight progressive differentiable architecture search-based AMC (PDARTS-AMC) method to search for a very lightweight network with good performance. Experimental results show that the proposed PDARTS-AMC method both improves the accuracy and reduces the computational cost when compared with existing methods.

关键词： Deep learning Machine learning algorithms Receivers programming parallel architectures Computational efficiency Classification algorithms

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The parallel Processing Based on CUDA for Convolution Filter FDK Reconstruction of CT

The Parallel Processing Based on CUDA for Convolution Filter...

引用

international symposium on parallel architectures, algorithms and programming (PAAP)

作者： Benyi Shi Sihai Chen Feifei Huang Cheng Wang Kun Bi College of Optoelectronic Science and Engineering Huazhong University of Science and Technology Wuhan China Beijing Research Center for Information Technology in Agriculture Beijing China

Computed tomography (CT) technology has been used in many fields. But the slow speed of CT image reconstruction is unbearable in some situation. The parallel processing based on graphic processing unit (GPU) is a great option to accelerate the speed of CT image reconstruction. But the general purpose GPU program model is difficult to use for the texture programming. Compute unified device architecture (CUDA) program model is much easier to use. A parallel processing based CUDA for CT image convolution filter FDK reconstruction was proposed in this article. The acceleration of FDK algorithm with convolution filtering on a single GPU had been realized. Under the condition that the precision was assured, the speed of CT image reconstruction has been accelerated about 80 times in the kernel algorithm and about 11 times in the overall performance according to the experiment result.

关键词： Graphics processing unit Image reconstruction Computed tomography Instruction sets parallel processing Acceleration Kernel

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A Test Sequence Selection Method for parallel Software Systems

A Test Sequence Selection Method for Parallel Software Syste...

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international symposium on parallel architectures, algorithms and programming (PAAP)

作者： Tao Sun Xinming Ye Jing Liu College of Computer Science Inner Mongolia University for the Nationalities Hohhot China

Modeling and testing for a parallel software system is very difficult, because parallel behaviors leads to system state explosion. Many testing methods are testing with a large number of redundancies. In this paper, a test sequence selection method for parallel software systems is shown. The method is based on linear behavior sequences which is preparing for testing, called LBSPT. Firstly, a formal model for software system specification is constructed based on Coloured Petri Net (CPN), called system model, and LBSPT is also modeled based on CPN, called LBSPT model. A test sequence selection method is defined on these models. The method could select all of test sequences related to LBSPT, and does not contain any redundancy. The state explode problem in software testing is solved to a certain extent. Practices show that the effect of this method is better than other methods such as random walk.

关键词： Testing Firing Redundancy Software systems Computational modeling Silicon

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Proxy placement in coordinated en-route transcoding caching for tree networks

Proxy placement in coordinated en-route transcoding caching ...

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international symposium on parallel architectures, algorithms and Networks (ISPAN)

作者： Keqiu Li Hong Shen Graduate School of Information Science Japan Advanced Institute of Science and Technology Ishikawa Japan

ISBN: (纸本)0769521355

This paper addresses the problem of transcoding proxy placement for coordinated en-route Web caching for tree networks. We propose a model for this problem by considering all the nodes among the network in a coordinated way and formulate this problem as an optimization problem. We implement our dynamic programming-based algorithm and evaluate our model on different performance metrics through extensive simulation experiments. The implementation results show that our model outperforms the placement model for linear topology.

关键词： Intelligent networks Transcoding Network topology Tree graphs Heuristic algorithms Measurement Information science Dynamic programming Web sites IP networks

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parallel Computing

引用

丛书名： Advances in parallel Computing

2014年

作者： Bader, M Bode, A. IOS Press, Incorporated

ISBN: (数字)9781614993810

ISBN: (纸本)9781614993803

parallel computing has been the enabling technology of high-end machines for many years. Now, it has finally become the ubiquitous key to the efficient use of any kind of multi-processor computer architecture, from smart phones, tablets, embedded systems and cloud computing up to exascale computers. _x000D_ This book presents the proceedings of ParCo2013 – the latest edition of the biennial international Conference on parallel Computing – held from 10 to 13 September 2013, in Garching, Germany. The conference focused on several key parallel computing areas. Themes included parallel programming models for multi- and manycore CPUs, GPUs, FPGAs and heterogeneous platforms, the performance engineering processes that must be adapted to efficiently use these new and innovative platforms, novel numerical algorithms and approaches to large-scale simulations of problems in science and engineering._x000D_ The conference programme also included twelve mini-symposia (including an industry session and a special PhD symposium), which comprehensively represented and intensified the discussion of current hot topics in high performance and parallel computing. These special sessions covered large-scale supercomputing, novel challenges arising from parallel architectures (multi-/manycore, heterogeneous platforms, FPGAs), multi-level algorithms as well as multi-scale, multi-physics and multi-dimensional problems._x000D_ It is clear that parallel computing – including the processing of large data sets (“Big Data”) – will remain a persistent driver of research in all fields of innovative computing, which makes this book relevant to all those with an interest in this field.

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Efficient Distributed parallel Aligning Reads and Reference Genome with Many Repetitive Subsequences Using Compact de Bruijn Graph

Efficient Distributed Parallel Aligning Reads and Reference ...

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international symposium on parallel architectures, algorithms and programming (PAAP)

作者： Yao Li Cheng Zhong Danyang Chen Jinxiong Zhang Mengxiao Yin Key Laboratory of Parallel School of Computer Electronics and Information Distributed Computing Technology in Guangxi Universities Guangxi University Nanning China

ISBN: (纸本)9781665496407

A large number of reads generated by the next generation sequencing platform will contain many repetitive subsequences. Effective localizing and identifying genomic regions containing repetitive subsequences will contribute to the subsequent genomic data analysis. To accelerate the alignment between large-scale short reads and reference genome with many repetitive subsequences, this paper develops a compact de Bruijn graph based short-read alignment algorithm on distributed parallel computing platform. The algorithm uses resilient distributed data sets (RDDS) to perform calculations in memory, and executes the broadcast method to distribute short reads and reference genome to the computing nodes to reduce the data communication time on the cluster system, and the number of RDD partitions is set to optimize the performance of parallel aligning algorithm. Experimental results on real datasets show that compared with the compact de Bruijn graph based sequential short-read alignment algorithm, our implemented distributed parallel alignment algorithm achieves good acceleration on the premise of obtaining the same correct alignment percentage as a whole, and compared with existing distributed parallel alignment algorithms, the implemented parallel algorithm can more quickly complete the alignment between large-scale short reads and reference genome with highly repetitive subsequences.

关键词： Sequential analysis Genomics Clustering algorithms Distributed databases programming Partitioning algorithms parallel architectures

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Class and user based parallelism in Raven

Class and user based parallelism in Raven

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international symposium on parallel Processing

作者： D. Acton G. Neufeld Department of Computer Science University of British Columbia Vancouver BC Canada

This paper presents the concurrency features found in Raven, an object-oriented parallel programming system. Raven supports coarse-grained parallelism via class based and user based parallelism. Class based parallelism is provided by the implementor of the class, while user based parallelism is provided by the user, or client of objects. Raven also supports object properties which are determined at object creation time, thereby eliminating the need for separate class hierarchies that support concurrency. Raven is operational on a variety of machine architectures, including a shared memory multiprocessor. Initial experience indicates that sequential code can easily be transformed into parallel code and that a substantial speedup is possible.< >

关键词： parallel processing Concurrent computing parallel programming programming profession Data encapsulation Object oriented modeling Computer science Whales Writing Algorithm design and analysis

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parallel Multisets Sorting Using Aperiodic Multi-round Distribution Strategy on Heterogeneous Multi-core Clusters

Parallel Multisets Sorting Using Aperiodic Multi-round Distr...

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international symposium on parallel architectures, algorithms and programming (PAAP)

作者： Cheng Zhong Zeng-Yan Qu Feng Yang Meng-Xiao Yin School of Computer and Electronics and Information Guangxi University Nanning China

To sort efficiently Multisets in parallel on the heterogeneous multi-core clusters that the nodes have different amount of processing cores, different computing and communication capabilities and distinct size of main memory, a novel a periodic multi-round data distribution model is presented and a parallel sorting algorithm for Multisets is designed by using the characteristics of multi-threading technology and multi-level caches on multi-core architectures. The first round scheduling assigns data blocks into the slave multi-core nodes according to the given distribution order, and the other rounds scheduling will distribute data blocks into the slave multi-core nodes by First Request First Distribution (FRFD) strategy to ensure that each slave multi-core node can receive the next required data block before it has sorting the current data block in its own main memory. The experimental results on the heterogeneous cluster with multi-core computers show that the presented parallel sorting Multisets algorithm is efficient and it obtains good speedup and scalability.

关键词： Sorting Algorithm design and analysis Clustering algorithms Multicore processing Memory management Distributed databases Nickel

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Fake news detection method based on multi-feature fusion of entity and structured text

Fake news detection method based on multi-feature fusion of ...

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international symposium on parallel architectures, algorithms and programming (PAAP)

作者： Tianqi Ren Ke Ji Zhenxiang Chen Runyuan Sun Kun Ma Jin Zhou School of Information Science and Engineering University of Jinan Jinan China

ISBN: (纸本)9781665452199

Internet technology has facilitated the development of social media, which has become the main way for people to get news. The low cost of information generation has allowed unconfirmed fake news to be noticed and reposted, which can easily cause social and economic harm. Much of the existing research on fake news detection has focused solely on the accuracy of detection, but has neglected the time efficiency of detection. We propose a fake news detection method called MFEAST, which simplifies article content and speeds up model training by extracting key information from articles. Compared with existing real fake news detection methods, our method substantially reduces the training time and achieves high detection accuracy.

关键词： Training Costs Text recognition Social networking (online) Text categorization programming parallel architectures

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A parallel PCG Solver for Large-Scale Groundwater Flow Simulation Based on OpenMP

A Parallel PCG Solver for Large-Scale Groundwater Flow Simul...

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international symposium on parallel architectures, algorithms and programming (PAAP)

作者： Dandan Li Xiaohui Ji Qun Wang School of Information Engineering China University of Geoscience Beijing China

Groundwater flow simulation has become one of the top international issues in new generation of environmental applications. When managing large-scale groundwater flow problems, the intensive computational ability and large amounts of memory space required for modeling are the main bottlenecks for researchers. In order to solve three-dimensional large-scale groundwater flow problems more rapidly, the Open MP was adopted to parallelize the preconditioned conjugate gradient (PCG) algorithm in this paper. And this paper carried out a numerical experiment of the three-dimensional groundwater flow model on a computer with four cores. Based on the numerical experiment, it is found that the execution time of the original serial PCG program is about 1.74 to 2.86 times of the parallel PCG program executed with different number of threads. The experimental results also demonstrate that the PCG solver based on Open MP is an effective way for solving large-scale three-dimensional groundwater flow problem.

关键词： Mathematical model Instruction sets Vectors Equations Computational modeling Computers Educational institutions

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