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检索条件"主题词=parallel Algorithms"

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The improved Krylov subspace methods for large and sparse linear systems on bulk synchronous parallel architectures

The improved Krylov subspace methods for large and sparse li...

引用

International Symposium on parallel and Distributed Processing (IPDPS)

作者： L. Tianruo Yang R.P. Brent Department of Computer Science Saint Francis Xavier University Antigonish NS Canada Computing Laboratory Oxford University Oxford UK

In this paper, we would like to summarize the recent advances on the improved Krylov subspace methods for the solutions of large and sparse linear systems of equations with unsymmetric coefficient matrices. The proposed methods combine elements of numerical stability and parallel algorithm design without increasing much computational costs. The methods have the following common feature that all are derived such that all matrix-vector multiplication, inner products and vector updates of a single iteration step are independent and communication time required for inner product can be overlapped efficiently with computation time of vector updates. Therefore, the cost of global communication which represents the bottleneck of the performance can be significantly reduced. Here, the bulk synchronous parallel (BSP) model is used to design fully efficient, scalable and portable parallel proposed algorithms and to provide accurate performance prediction of the algorithms for a wide range of architectures including the Cray T3D, the Parsytec, and a cluster of workstations connected by an Ethernet. This performance model uses only a few system dependent parameters based on a simple and accurate cost modelling to provide useful insight in the time complexity of the method. The theoretical performance predictions are compared with some preliminary measured timing results of a numerical application from ocean flow simulation.

关键词： Linear systems parallel architectures Sparse matrices Algorithm design and analysis Costs Predictive models Clustering algorithms Equations Numerical stability parallel algorithms

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parallel algorithm for mining fuzzy association rules

Parallel algorithm for mining fuzzy association rules

引用

International Conference on Cyberworlds

作者： Baowen Xu Jianjiang Lu Yingzhou Zhang Lei Xu Huowang Chen Hongji Yang Department of Computer Science and Engineering South-East University Nanjing China Jiangsu Institute of Software Quality Nanjing China People''s Liberation Army University of Science and Technology Nanjing China School of Computer Science National University of Defense Technology Changsha China School of Computing De Montfort University Leicester UK

ISBN: (纸本)0769519229

The principle and steps of the algorithm for mining fuzzy association rules is studied, and the parallel algorithm for mining fuzzy association rules is presented. In this parallel mining algorithm, quantitative attributes are partitioned into several fuzzy sets by the parallel fuzzy c-means algorithm, and fuzzy sets are applied to soften the partition boundary of the attributes. Then, the parallel algorithm for mining Boolean association rules is improved to discover frequent fuzzy attributes. Last, the fuzzy association rules with at least fuzzy confidence are generated on all processors. The parallel mining algorithm is implemented on the distributed linked PC/workstation. The experiment results show that the parallel mining algorithm has fine scaleup, sizeup and speedup.

关键词： parallel algorithms Data mining Association rules Partitioning algorithms Fuzzy sets Computer science Educational technology Clustering algorithms Relational databases Laboratories

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A Java-based parallel platform for the implementation of evolutionary computation for engineering applications

A Java-based parallel platform for the implementation of evo...

引用

Congress on Evolutionary Computation

作者： Chun Che Fung Kok Wai Wong Ja Bin Li Kit Po Wong School of Information Technology Murdoch University Murdoch WA AUSTRALIA School of Engineering Curtin University of Technology Bentley WA AUSTRALIA School of Computer Engineering Nanyang Technological University REPUBLIC OF SINGAPORE Department of Electrical Engineering Hong Kong Polytechnic University CHINA RPC

ISBN: (纸本)0780378040

This paper proposes an extended version of a previously developed low cost parallel computation platform called Para Worker. The new system is termed Para Worker 2 which differentiates from the early system. The new proposed system adds enhanced features of improved dynamic object reallocation, adaptive consistency protocols, and location transparency as compared to the original system. The proposal is particularly useful for the implementation and execution of computational intelligence techniques such as evolutionary computing for engineering applications.

关键词： Java Evolutionary computation Computer networks Artificial neural networks Costs Power engineering computing parallel processing parallel algorithms Yarn Application software

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parallel LAN/WAN heuristics for optimization

Parallel LAN/WAN heuristics for optimization

引用

International Symposium on parallel and Distributed Processing (IPDPS)

作者： E. Alba G. Luque Departamento de Lenguajes y Ciencias de la Computación E.T.S. Ingeniería Informática Malaga Spain

We present in this work a wide spectrum of results on analyzing the behavior of parallel heuristics for solving optimization problems. We focus on evolutionary algorithms as well as on simulated annealing. Our goal is to offer a first study on the possible changes in the search mechanics when shifting from a LAN distributed algorithm to a WAN environment. We address six optimization tasks of considerable complexity. The results show that, despite the expected slower execution time, the WAN versions of our algorithms consistently solve the problems. We even report some interesting results in which WAN algorithms outperform LAN ones. We also extend the study to include hybrid versions to check the scope of our conclusions.

关键词： Local area networks Wide area networks Skeleton Algorithm design and analysis parallel algorithms Evolutionary computation Computational modeling Simulated annealing Distributed algorithms Design optimization

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A new data distribution method for parallel ray tracing

A new data distribution method for parallel ray tracing

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International Conference on Information Visualisation (IV)

作者： M. Amri BP-SONARCO-Information System Department-Hassi Messaoud Houari Boumedienne-Algiers University of Science and Technology Algeria

The ray tracing algorithm produces realistic high quality images, but it requires a long time for calculation on a single processor machine, which limits its practical use. With the development of distributed object architectures, such as CORBA (Common Object Request Broker), the most promising way to improve ray traced picture productions seems to be parallelisation, which offers both increased CPU power and memory facilities. A natural way for parallelisation is to distribute pixels over the CORBA object system. However, since we want to deal with large scenes and making our algorithm functional over any parallel architecture system, scene objects have also to be distributed among processors, so a modified parallel algorithm is necessary. We propose a new method, which distributes the scene objects among processors (CORBA objects) according to their speed frequencies, which uses the object coherency property. Our approach of exploiting the bus CORBA gives very encouraging results.

关键词： Ray tracing Layout Network servers Computer graphics Computer architecture Central Processing Unit Information systems Production parallel architectures parallel algorithms

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A parallel algorithm for visual tracking of multiple free-swimming robot fishes based on color information

A parallel algorithm for visual tracking of multiple free-sw...

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IEEE International Conference on Robotics, Intelligent Systems and Signal Processing

作者： Junzhi Yu Shuo Wang Min Tan Institute of Automation Chinese Academy and Sciences Beijing China

ISBN: (纸本)078037925X

Obtaining information of both action of multiple free-swimming robot fishes and environment quickly and accurately from image sequence is the foundation of making decision and control in a MRFS (multiple robot fishes cooperation system). The real-time vision subsystem of MRFS and its tracking strategy for multi-target are introduced in this paper. Combining features of the robot fish and location background, an adaptive segmentation algorithm based on hue histogram and saturation histogram is proposed, which can adapt the changing environmental conditions. At the same time, integrating with computer parallel processing technology, the overall tracking algorithms are optimized by means of MMX and SSE instructions. The designed visual subsystem has been implemented in MRFS, and the results have shown its effectiveness by successfully tracking multiple free-swimming fishes and obstacles.

关键词： parallel algorithms parallel robots Marine animals Histograms Image sequences Control systems Machine vision Image segmentation Computer aided instruction Concurrent computing

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An efficient implementation for broadcasting data in parallel applications over Ethernet clusters

An efficient implementation for broadcasting data in paralle...

引用

International Conference on Advanced Information Networking and Applications (AINA)

作者： F.G. Tinetti A. Barbieri LIDI-CeTAD Computer Science School-Engineering School UNLP Argentina

This paper introduces a natural implementation for broadcasting data on Ethernet based clusters used for parallel computing. Initially, it will be shown that libraries for Message Passing between processes such as PVM and implementations of MPI do not implement efficiently this operation or there is no reliability in terms of its performance. An implementation for broadcast messages is presented, taking into account the Ethernet based hardware layer found in most of the clusters used for parallel computing. The proposed implementation for broadcasting data is compared with the broadcast message available in PVM and LAM/MPI. Also, some comments are made about the proposed broadcast messages when the hardware layer is not Ethernet based. Finally, it will be shown by experimentation how the proposed broadcast message is used in the context of parallel linear algebra operations, specifically for parallel matrix multiplication.

关键词： Broadcasting Ethernet networks parallel processing Concurrent computing Libraries Message passing Hardware parallel algorithms Application software Workstations

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A parallel algorithm for computing simultaneous inversions with application to elliptic curve scalar multiplication

A parallel algorithm for computing simultaneous inversions w...

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Midwest Symposium on Circuits and Systems (MWSCAS)

作者： P. Sarkar P.K. Mishra R. Barua Cryptology Researchi Group Applied Statistics Unit Indian Statistical Institute Calcutta India

Montgomery's trick is a well known technique for performing simultaneous inversions of several field elements. However, this technique is a strictly sequential algorithm. Here the authors introduced a parallel algorithm for performing simultaneous inversions of several finite field elements. The algorithm uses a binary tree and can perform inversions of 2 r elements using 3times2 r-1 multipliers in (r + 1) multiplication rounds and one inversion round. The authors also described how to modify the algorithm when less number of multipliers is available. This parallel algorithm is used to obtain a new parallel algorithm for elliptic curve scalar multiplication using a fixed base point. The scalar multiplication algorithm is resistant against simple power analysis (SPA) and can be implemented with different number of multipliers (2,4,8,...). Results show that implementation with 2 multipliers can lead to almost 40% speed-up over previously best known sequential SPA resistant algorithm

关键词： parallel algorithms Concurrent computing Elliptic curves Galois fields Elliptic curve cryptography Costs Binary trees Algorithm design and analysis Statistics Indium phosphide

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Optimal parallel algorithm for the knapsack problem without memory conflicts

Optimal parallel algorithm for the knapsack problem without ...

引用

IEEE International Conference on parallel and Distributed Computing, Applications and Technologies (PDCAT)

作者： Kenli Li Qinghua Li Wang-Hui Shengyi Jiang School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China National High Performance Computing Center Wuhan China

The knapsack problem is very important in cryptosystem and in number theory. We propose a new parallel algorithm for the knapsack problem where the method of divide and conquer is adopted. Basing on an EREW-SIMD machine with shared memory, the proposed algorithm utilizes O(2/sup n/4/)/sup 1-/spl epsiv// processors, 0/spl les//spl epsiv//spl les/1, and O(2/sup n/) memory to find a solution for the n-element knapsack problem in time O(2/sup n/4/ (2/sup n/4/)/sup /spl epsiv//). Thus the cost of the proposed parallel algorithm is O(2/sup n/), which is optimal, and an improved result over the past researches.

关键词： parallel algorithms Concurrent computing Cost function Algorithm design and analysis Computational modeling Computer aided instruction Computer science High performance computing Cryptography Read-write memory

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Proceedings International parallel and Distributed Processing Symposium

Proceedings International Parallel and Distributed Processin...

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International Symposium on parallel and Distributed Processing (IPDPS)

The following topics are dealt with: Grid and distributed computing; scheduling task systems; shared-memory multiprocessors; imaging and visualization; testing and debugging; performance analysis and real-time systems; scheduling for heterogeneous resources; networking; peer-to-peer and mobile computing; compiler technology and run-time systems; load balancing; network routing; parallel programming models; parallel algorithms; scheduling and storage; parallel and distributed performance; software for high performance clusters; decentralized algorithms; multithreading and VLIW; parallel and distributed real-time systems; high-level parallel programming models and supportive environments; Java for parallel and distributed computing; nature inspired distributed computing; high performance computational biology; advances in parallel and distributed computational models; reconfigurable architectures; communication architecture for clusters; next generation systems; fault-tolerant parallel and distributed systems; wireless, mobile and ad hoc networks; parallel and distributed image processing, video processing, and multimedia; formal methods for parallel programming; Internet computing and e-commerce; parallel and distributed scientific and engineering computing with applications; massively parallel processing; performance modeling, evaluation, and optimization of parallel and distributed systems; and parallel and distributed systems: testing and debugging.

关键词： Processor scheduling Shared memory systems Software debugging Software testing Real time systems Program compilers Resource management parallel programming parallel algorithms Memory management parallel architectures Biomedical computing Reconfigurable architectures Computer fault tolerance Video signal processing Image processing Software requirements and specifications Multimedia computing Internet

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