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A method that determines optimal grain size and inherent parallelism concurrently

A method that determines optimal grain size and inherent par...

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

作者： Yiqun Ge D.Y.Y. Yun Laboratories of Intelligent and Parallel Systems (LIPS) Department of Electrical Engineering University of Hawaii Manoa Honolulu HI USA

Grain packing is an important problem to the development of efficient parallel programs. It is desirable that the grain packing can be performed automatically, so that the programmer can write parallel programs without being troubled by the details of parallel-programming languages and parallel architectures, and the same parallel program can be executed efficiently on different machines. This paper presents a 2D Compression (2DC) grain packing method for determining optimal grain size and inherent parallelism concurrently. This ability is mainly due to 2DC's continuing efforts for achieving conflicting objectives. Experimental results demonstrate that 2DC increases the solution effectiveness, in comparison with state-of-art approaches that aim at economizing either speedup or resource utilization. Additionally, 2DC can determine inherent parallelism, which means that users will no longer be required to specify the number of processors before the compilation stage.

关键词： Grain size parallel processing programming profession parallel architectures Concurrent computing Resource management parallel programming Laboratories Intelligent systems Lips

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Research and Design of a Remote Visualization parallel Program Performance Analysis Tool

Research and Design of a Remote Visualization Parallel Progr...

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

作者： Yunlong Xu Zeng Zhao Weiguo Wu Yixin Zhao School of Electronics and Information Engineering Xi'an Jiaotong University Xi'an China

parallel program performance analysis plays an important role in exploring parallelism and improving efficiency of parallel programs. A remote interactive parallel program performance analysis tool based on dynamic code instrumentation is designed on the basis of analysis and comparison of existing program performance analysis tools. A hierarchical structure is adopted by this tool which consists of 3 parts: client, server and computing nodes. Performance analysis tasks are submitted to the server via the graphical user interface of the client, and then actual analysis processes are started on the computing nodes by the server to collect performance data for visualization in the client. The performance information gained by this tool is comprehensive and intuitive, so it is quite helpful for users to analyze performance, locate bottlenecks of programs, and optimize programs.

关键词： Performance analysis Data visualization Servers Instruments parallel processing Process control Computer architecture

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Efficient Heuristic Algorithm to Speed up GraphCut in GPU for Image Stitching

Efficient Heuristic Algorithm to Speed up GraphCut in GPU fo...

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

作者： Tai Nguyen Minh Bui Huong Ninh Tu Nguyen Hai Tien Tran Viettel Aerospace Institute Viettel Group

ISBN: (纸本)9781665452199

GraphCut algorithm has been widely utilized to solve various types of computer vision problems. Its expensive computational cost encouraged many researchers to improve the speed of the algorithm. Recent works proposed schemes that work on parallel computing platforms such as CUDA. However, the problem of low convergence speed prevents the usage of GraphCut for real time applications. In this paper, we propose global suppression heuristic to boost the convergence process of the algorithm. A parallel implementation of GraphCut algorithm on CUDA designed for the image stitching problem is introduced. Our method achieves up to 3× time boost on the graph of size 80×480 compared to the best sequential GraphCut algorithm while achieving satisfactory stitched images, suitable for panorama applications. Our source code will be soon available for further research.

关键词： Computer vision Heuristic algorithms Source coding Graphics processing units programming parallel processing Real-time systems

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Next Generation Cloud Computing Reliability:Issues and Challenges

Next Generation Cloud Computing Reliability:Issues and Chall...

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The 7th international symposium on parallel architectures, algorithms and programming, PAAP2015(2015年第七届国际并行体系结构,算法和编程研讨会)

作者： Jemal Abawajy Parallel and Distributed Computing Lab School of Information Technology Deakin University Australia

Introduction Cloud computing is widely recognized for its cost savings,scaling and for accelerating business innovation.

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parallel Algorithm of Visualization of Reservoir Numerical Simulation Based on PEBI Grids

Parallel Algorithm of Visualization of Reservoir Numerical S...

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

作者： Lanfang Dong Detang Lu Meng Li Vision Computing and Visualization Laboratory School of Computer Science and Technology University of Science and Technology Hefei China Department of Modern Mechanics University of Science and Technology Hefei China

The speed of calculating, tracking and filling the isolines has a direct impact on the performance of user interaction. In this paper, we begin with the serial algorithm of visualization and implement its parallel algorithm. First, we divide the Delaunay grids generated from the PEBI grids into several regions. Calculation, tracking of isolines and calculation of saturation are implemented in each region respectively. Then the tracking results of each region are integrated for the entire work area. The parallel examples using OpenMP on computers with dual-core/quad-core are given at the end of this paper. The experimental results show that the parallel processing can greatly reduce the time required for data processing in visualization.

关键词： Instruction sets Data visualization Computers Filling Target tracking Image color analysis Educational institutions

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A critical look at three of parallel computing's maxims

A critical look at three of parallel computing's maxims

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

作者： B.M. Maggs School of Computer Science Carnegie Mellon University Pittsburgh PA USA

The last few years have seen the introduction of a large number of parallel computers, as well as the failures of several manufacturers. As the machines have been released, they have been thoroughly evaluated, and a wide range of benchmark data is now available. Furthermore, in this time our expertise in programming and extracting performance from parallel machines has greatly increased, a theory of parallel and network algorithms has developed, and our understanding of the modeling process has improved. Hence, now seems a propitious time to take a critical look at our maxims. This paper takes a critical look at the following three maxims: parallel architecture is converging on a design based on commodity microprocessor chips; wormhole routing is decidedly more efficient than store-and-forward routing; and the PRAM is an unrealistically ideal model of computation.

关键词： parallel processing Computer aided manufacturing Concurrent computing Routing parallel programming Data mining parallel machines parallel architectures Microprocessor chips Phase change random access memory

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Sensitivity Analysis on the Sizing Parameters of a Series-parallel HEV 9th

Sensitivity Analysis on the Sizing Parameters of a Series-Pa...

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9th IFAC international symposium on Advances in Automotive Control (AAC)

作者： El Hajji, T. Kabalan, B. Cheng, Y. Vinot, E. Dumand, C. Ctr Tech Velizy A Grp PSA Case Courrier VV1415 Route Gizy F-78943 Velizy Villacoublay France IFSTTAR 25 Av Francois Mitterrand F-69675 Bron France

As an alternative to power-split hybrid architectures, a simple series-parallel architecture named SPHEV 2 can be realized. In this paper, the sizing process of this architecture is briefly presented and a deeper analysis is made. Mathematical sensitivity analysis studies are conducted on the sizing parameters of the architecture in order to bring more understanding to the optimization results. Local and global sensitivities are performed to understand the influence of the sizing variables on the fuel consumption. An analysis of the sensitivities is also made. (C) 2019, IFAC (international Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Sensitivity Analysis Hybrid Vehicles Modelling Dynamic programming Genetic algorithms

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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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Progressive Differentiable Architecture Search Based Automatic Modulation Classification Method

Progressive Differentiable Architecture Search Based Automat...

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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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How to parallelize cellular neural networks on cluster architectures

How to parallelize cellular neural networks on cluster archi...

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

作者： T. Weishaupl E. Schikuta Department of Computer Science and Business Informatics University of Technology Vienna Vienna Austria

In this paper, we present "rules of thumb" for the efficient and straight-forward parallelization of cellular neural networks (CNNs) processing image data on cluster architectures. The rules result from the application and optimization of the simple but effective structural data parallel approach, which is based on the SPMD model. Digital gray-scale images were used to evaluate the optimized parallel cellular neural network program. The process of parallelizing the algorithm employs HPF to generate an MPI-based program.

关键词： Cellular neural networks Neural networks Computer architecture Computational modeling Clustering algorithms Signal processing algorithms parallel processing Image edge detection parallel programming Computer science

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