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检索条件"任意字段=19th IASTED International Conference on Parallel and Distributed Computing and Systems"

共 564 条记录，以下是261-270 订阅

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distributed Exact Structural Clustering on Large Graph 28

Distributed Exact Structural Clustering on Large Graph

引用

IEEE 28th international conference on parallel and distributed systems (IEEE ICPADS)

作者： Zhou, Jinyu Rong, Chuitian Liu, Ding Chai, Zhengyi Tiangong Univ Tianjin Peoples R China

ISBN: (纸本)9781665473156

Graph clustering is an important technique to detect community clusters in complex networks. SCAN (Structural Clustering Algorithm for Networks) is a well-studied graph clustering algorithm that has been widely applied over the years. However, the processing time cost of sequential SCAN and its variants cannot be tolerable on large graphs. the existing parallel variants of SCAN are focusing on fully utilizing the computing capacity of multi-core computer architectures and inventing sophisticated optimization techniques on single computing node. As the objects and their relationships in cyberspace are varying over time, the scale of graph data is increasing with high rate. the graph clustering algorithms on single node are facing challenges from limited computing resources, such as computing performance, memory size and storage volume. the distributed processing algorithm is called for processing large graphs. this work presents a distributed structural graph clustering algorithm using Spark. Furthermore, the edge pruning technique and adaptive checking are optimized to improve clustering efficiency. And the label propagation clustering is simplified to reduce the communication cost in the distributed clustering iterations. It also conduct extensive experiments on real-world datasets to testify the efficiency and scalability of the distributed algorithm. Experimental results show that efficient clustering performance can be achieved and it scales well under different settings.

关键词： Structural Clustering distributed computing Spark

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GPU-PSO : parallel Particle Swarm Optimization approaches on Graphical Processing Unit for Constraint Reasoning: Case of Max-CSPs 19th

GPU-PSO : Parallel Particle Swarm Optimization approaches on...

引用

19th international conference on Knowledge Based and Intelligent Information and Engineering systems (KES)

作者： Dali, Narjess Bouamama, Sadok Univ Manouba Natl Sch Comp Sci COSMOS Lab Manouba Tunisia

Constraint Satisfaction Problems (CSPs) occur now in different domains. Several methods are used to solve them. In particular, Particle Swarm Optimization (PSO) allows to solve efficiently CSPs by significantly reducing the calculation time to explore the search space of solutions. However, this metaheuristic is excessively costing when facing large instances. In this paper we address the Maximal Constraint Satisfaction Problems (Max-CSPs). We introduce a new resolution approach that allows solving efficiently the Max-CSPs even with large instances. Our purpose is to implement a PSO based method by using the GPU architecture as a parallel computing framework. In particular, we focus on the implementation of two parallel novel approaches. the first one is a parallel GPU-PSO for Max-CSPs (GPU-PSO) and the second one is a GPU distributed PSO for Max-CSPs (GPU-DPSO). Our experimental results show the efficiency of the two proposed approaches and their ability to exploit GPU architecture. (C) 2015 the Authors. Published by Elsevier B.V.

关键词： particle swarm optimization Maximal Constraint satisfaction problems GPU-computing

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Automatic Data Partitioning Applied to Multigrid PDE Solvers

Automatic Data Partitioning Applied to Multigrid PDE Solvers

引用

19th international Euromicro conference on parallel, distributed and Network-Based Processing (PDP)

作者： Fresno, Javier Gonzalez-Escribano, Arturo Llanos, Diego R. Univ Valladolid Dept Informat Valladolid Spain

ISBN: (纸本)9780769543284

this paper studies the impact of using automatic data-layout techniques on the process of coding the well-known multigrid MG NAS parallel benchmark. We describe the sequential problem in detail, and discuss the parallel version and its optimizations. then, we implement the parallel algorithm using Hitmap, a highly-efficient modular library for hierarchical tiling and mapping of arrays. We describe how to use the library plug-in system to add a new data-layout module that encapsulates a generalization of the data-alignment policy of the MG benchmark. the module system applies this policy to automatically adapt the data distribution and communication code to any grain level. the impact of using these techniques is qualitatively and quantitatively described in terms of development effort and performance. Our results show that it is possible to introduce flexible automatic data-layout techniques in current parallel compiler technology, without sacrificing performance.

关键词： Automatic data partition distributed systems layouts layouts distributed systems AUTOMATIC data distribution MODULE systems Data partitioning Magnesium MOTOR GENERATOR parallel algorithms Solvers MAPPING(MAthEMATICAL) Policies communications coding

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Resource-Centered distributed Processing of Large Histopathology Images 19

Resource-Centered Distributed Processing of Large Histopatho...

引用

19th IEEE international conference on Computational Science and Engineering, 14th IEEE international conference on Embedded and Ubiquitous computing and 15th international Symposium on distributed computing and Applications to Business, Engineering and Science, CSE-EUC-DCABES 2016

作者： Salas, Daniel Gustedt, Jens Racoceanu, Daniel Perseil, Isabelle Inserm CISI Paris France INRIA Nancy - Grand Est France ICube - CNRS Université de Strasbourg France Université Pierre et Marie Curie Paris France

ISBN: (纸本)9781509035939

Automatic cell nuclei detection is a real challenge in medical imagery. the Marked Point Process (MPP) is one of the most promising scalable and paralellizable method. To handle large histopathology images, the algorithm has to be distributed. A new parallelization paradigm called Ordered Read-Write Locks (ORWL) is presented as a possible solution for solving some of the unwanted side effects of the distribution, namely an imprecision of the results on the internal boundaries of partitioned images. this solution extends a parallel version of MPP that has reached good speedups on GPU cards, but was not scaling to complete images as they appear in practical data. © 2016 IEEE.

关键词： Graphics processing units Convergence distributed computing Breast cancer System recovery conferences

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An analytical approach to the design of parallel block cipher encryption/decryption : A CPU/GPU case study

An analytical approach to the design of parallel block ciphe...

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19th international Euromicro conference on parallel, distributed and Network-Based Processing (PDP)

作者： Barlas, Gerassimos Hassan, Ahmed Al Jundi, Yasser Amer Univ Sharjah Dept Comp Sci & Engn Sharjah U Arab Emirates

ISBN: (纸本)9780769543284

GPUs are at the fore-front of a radical transformation that is taking place in software design. the ability to process multiple data streams simultaneously is delivering substantial benefits to a large collection of domains. Depending on the application, these benefits can be expanded by utilizing the not-insignificant power of traditional CPUs. Multi-core CPUs with a hierarchy of large and fast caches, can provide significant performance especially if data transfers dominate execution time, or branching does not allow for the uninterrupted execution on all GPU cores. In this paper we present an analytical framework that can be used to optimally consolidate CPU and GPU resources for the encryption/decryption of block ciphers such as AES. A rigorous set of experiments concludes the paper, show-casing the benefits and overall characteristics of the proposed framework. Our tests also bring to the surface important aspects of GPU operation that have to be taken into consideration upon the design of any successful scheduling scheme involving GPUs as a system component.

关键词： GPGPU block cipher AES divisible load theory heterogeneous computing

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Cross entropy based module allocation for distributed systems

Cross entropy based module allocation for distributed system...

引用

Proceedings of the 16th iasted international conference on parallel and distributed computing and systems

作者： Widell, Niklas Nyberg, Christian Department of Communication Systems Lund University Box 118 SE-22100 Lund Sweden

In the module allocation problem a collection of software modules are to be assigned to physical processing nodes, subject to execution and communication cost. the cost of an allocation is a function of the execution costs and the communication costs for any pair of modules allocated to distinct processors. the module allocation problem has been well studied and is known to be NP-complete except for certain communication configurations. To solve the problem, several heuristics have been proposed. this paper discusses an alternative approach to solving the module allocation problem by applying a stochastic optimization method called the Cross Entropy (CE) Method. the CE Method is a state-of-the-art stochastic method for solving combinatorial and multi-extremal continuous optimization problems. the CE method uses a distribution with parameter v to generate sample allocation. the generated samples are then used to update v according to sample quality. this process is repeated until the distribution converges to a possibly optimal allocation. the results in this paper indicate that the CE method can successfully be applied to the module allocation problem and efficiently generate high quality solutions. Also, the CE method allows the use of non-standard objective functions that are used to find allocations that have multiple conflicting objectives.

关键词： distributed computer systems

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Topic 8: distributed systems and Algorithms (Introduction)

Topic 8: Distributed Systems and Algorithms (Introduction)

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19th international conference on Euro-Par

作者： Mostefaoui, Achour Polze, Andreas Baquero, Carlos Ezhilchelvan, Paul Lundberg, Lars Université de Nantes France Hasso Plattner Institute University of Potsdam Germany INESC TEC Universidade do Minho Portugal University of Newcastle United Kingdom Blekinge Institute of Technology Karlskrona Sweden

ISBN: (纸本)9783642400476

distributed computing is becoming more and more led by technological and application advances. Many works consider new computing models compared to the classical closed model with a fixed number of participants and strong hypothesis on communication and structuration. Indeed, it is hard to imagine some application or computational activity and process that falls outside distributed computing. Internet and the web (e.g. social networks, clouds) are becoming the main application field for distributed computing. In addition to the classical challenges that developers have to face (asynchrony and failures) they have to deal with load balancing, malicious and selfish behaviors, mobility, heterogeneity and the dynamic nature of participating processes.

关键词： distributed computer systems

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Efficient parallel architecture of median filter

Efficient parallel architecture of median filter

引用

9th iasted international conference on parallel and distributed computing and Networks, PDCN 2010

作者： Medhat, R. Faheem, H.M. Khaleefa, M.E. Computer Systems Department Faculty of Computer and Information Sciences Ain Shams University Cairo Egypt

ISBN: (纸本)9780889868205

Many attempts have been made to optimize the median filter from the software and hardware approach. An architectural design of hardware capable of performing real-time median filtering is presented. the architecture uses the histogram approach to calculate the median, while optimizing the sliding window method to reuse all its calculations. Data is output row by row and every input pixel is processed only once. the design is independent of window size or image size, and supports adding more processing elements to support wider images. the control unit design is minimized to enable self-adjustment of plug-and-play processing elements. the architecture is implemented in VHDL and synthesized to a Virtex-2 Pro FPGA. the architecture's performance as well as operation is compared to previous work.

关键词： Electric filters

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Traffic Signal Control Considering Switching Timing via distributed Model Predictive Control 19

Traffic Signal Control Considering Switching Timing via Dist...

引用

19th international conference on Control, Automation and systems (ICCAS)

作者： Sasaki, S. Namerikawa, T. Keio Univ Dept Syst Design Engn Tokyo Japan

ISBN: (纸本)9788993215182

In this paper, we aim to alleviate traffic congestion on each link online by traffic signal control for local road transport network to be controlled. We first propose a transportation model with time delay system considering the travel time of the vehicle and calculate the optimal signal phases with variable cycle length and offset using distributed model predictive control for that model to reduce congestion rate on local roads. We then explain algorithms for distributed control that each intersection solves the optimization problem in parallel sharing information only with adjacent intersection. Finally, the effectiveness of the proposed method is confirmed by numerical simulation.

关键词： Traffic Signal Control Intelligent Transport systems distributed Model Predictive Control

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Issues and Challenges in Development of Massively-parallel Heterogeneous MPSoCs Based on Adaptable ASIPs

Issues and Challenges in Development of Massively-Parallel H...

引用

19th international Euromicro conference on parallel, distributed and Network-Based Processing (PDP)

作者： Jozwiak, Lech Lindwer, Menno Eindhoven Univ Technol Eindhoven Netherlands Silicon Hive BV Eindhoven Netherlands

ISBN: (纸本)9780769543284

the recent spectacular progress in modern nanoelectronic technology enabled implementation of very complex multiprocessor systems on single chips (MPSoCs) and created a big stimulus towards development of MPSoCs for embedded applications. the increasingly complex MPSoCs are required to perform real-time computations to extremely tight schedules and to satisfy high demands regarding adaptability, as well as energy, area and cost efficiency. this results in serious design and development challenges. the opportunities created can effectively be exploited only through use of more adequate system architectures and more integrated system IP modules, supported by new effective design methods and electronic design automation tools. this paper focuses on mastering the automatic architecture synthesis and application mapping for heterogeneous massively-parallel MPSoCs based on customizable application-specific instruction-set processors (ASIPs). It is related to a European project ASAM being currently executed in the framework of the ARTEMIS program. It presents the results of our analysis of the main problems that have to be solved and challenges to be faced in design of such heterogeneous customizable MPSoCs for modern demanding applications.

关键词： embedded systems heterogeneous multi-processor system-on-chip (MPSoC) customizable ASIPs architecture synthesis MPSoC and ASIP design automation

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