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检索条件"任意字段=Seventh International Symposium on Parallel Architectures, Algorithms and Programming"

共 505 条记录，以下是271-280 订阅

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A parallel refined Jacobi-Davidson method for quadratic eigenvalue problems

A parallel refined Jacobi-Davidson method for quadratic eige...

引用

international symposium on parallel architectures, algorithms, and programming

作者： Wang, Shunxu College of Science Huaihai Institute of Technology Lianyungang Jiangsu 222005 China

ISBN: (纸本)9780769543123

This paper presents a parallel refined Jacobi- Davidson method for computing extreme eigenpairs of quadratic eigenvalue problems. The method directly computes the refined Ritz pairs in the projection subspace, and expands the subspace by the solution of the correction equation. Combining with the restarting scheme, the method can solve several eigenpairs of quadratic eigenvalue problems. The numerical experiments on a parallel computer show that the parallel refined Jacobi-Davidson method for computing quadratic eigenvalue problems is very effective. © 2010 IEEE.

关键词： Eigenvalues and eigenfunctions

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A new type of parallel computing architecture and its parallel computer based on N+1 programs

A new type of parallel computing architecture and its parall...

引用

international symposium on parallel architectures, algorithms, and programming

作者： Xu, Zhaochang Zhang, Ning Xu, Haoyuan Shanghai Cell-computer Lab. Shanghai China Yokohama National University Yokohama Japan

ISBN: (纸本)9780769543123

This paper introduces a new type of parallel computer based on N+1 programs (hereinafter, N+1 computer), as well as its features. A new concept of parallel computing architecture based on N+1 programs is also presented at same time. We studied the essential problems and inherent laws on parallel systems, and analyzed the operateability, the computability, and the compilability of the system, as well as its generality of this new parallel computing architecture. Finally, an N+1 computer prototype machine was trialed which could be considered to be a new general type of platform on parallel processing studies. © 2010 IEEE.

关键词： parallel architectures

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parallel local alignment algorithm for multiple sequences on heterogeneous cluster systems

Parallel local alignment algorithm for multiple sequences on...

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international symposium on parallel architectures, algorithms, and programming

作者： Cui, Xin Zhong, Cheng Lu, Xiang-Yan School of Computer and Electronics and Information Guangxi University Nanning China School of Information Engineering DaLian University DaLian China

ISBN: (纸本)9780769543123

By taking into account communication startup overhead and the assigned processor distribution order and by applying hashing technique, a novel sequence distribution strategy is presented and the parallel local alignment algorithm for multiple sequences is designed on the heterogeneous cluster system that the computing nodes have different computing speeds and communication capabilities based on divisible load principle. The experimental results on the cluster system with heterogeneous personal computers show that, compared with the parallel algorithm with the average sequence distribution approach, the parallel local alignment algorithm for multiple sequences with the presented sequence distribution strategy can decrease the execution time of 13%∼35%, and it can obtain good speedup and scalability. © 2010 IEEE.

关键词： parallel algorithms

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Approximate string matching using Markovian distance

Approximate string matching using Markovian distance

引用

international symposium on parallel architectures, algorithms, and programming

作者： Katsumata, Akifumi Miura, Takao Shioya, Isamu Dept.of Elect. and Elect. Engineering HOSEI University Kajinocho 3-7-2 Koganei Tokyo Japan Dept. of Managament and Informatics SANNO University Kamikasuya 1672 Isehara kanagawa Japan

ISBN: (纸本)9780769543123

In this work we examine a new technique for approximate string matching using Markovian distance. Here we assume each character appears in a probabilistic way. By means of this idea, we introduce a notion of dissimilarity using text corpus. Then we propose our sophisticated algorithm based on dynamic programming. vVe show some experimental results to see how the approach works well. © 2010 IEEE.

关键词： Dynamic programming

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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

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

ISBN: (纸本)9780769543123

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. © 2010 IEEE.

关键词： parallel programming

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parallel point-multiplication for conic curves cryptosystem

Parallel point-multiplication for conic curves cryptosystem

引用

international symposium on parallel architectures, algorithms, and programming

作者： Li, Yongnan Xiao, Limin State Key Laboratory of Software Development Environment Beijing 100191 China School of Computer Science and Engineering Beihang University Beijing 100191 China

ISBN: (纸本)9780769543123

Cryptosystem on conic curves, which is a new developing cryptography, becomes more widespread in these days. It is important to explore fast parallel algorithms to both encrypt and decrypt information in conic curves cryptosystem. Point-multiplication is the key operation for constructing security protocol in conic curves cryptosystem. There is no existing research focused on paralleling point-multiplication for conic curves cryptosystem. This paper presents parallel computation of point-multiplication for conic curves cryptosystem over finite field Fp and ring Zn. Research in this paper is based on our previous works about several parallel algorithms for conic curves cryptosystem. The parallel technique of point-multiplication is computing point-addition and pointdouble respectively. The performance evaluation demonstrates that our methodology could improve efficiency for conic curves cryptosystem over finite field Fp and ring Zn. © 2010 IEEE.

关键词： Cryptography

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A distributed dynamic parallel algorithm for SIFT feature extraction

A distributed dynamic parallel algorithm for SIFT feature ex...

引用

international symposium on parallel architectures, algorithms, and programming

作者： Jiang, Guiyuan Zhang, Guiyuan Zhang, Dakun School of Computer Science and Software Engineering Tianjin Polytechnic University Tianjin 300000 China

ISBN: (纸本)9780769543123

This paper deals with the issue of developing efficient algorithms for accelerating SIFT (Scale Invariant Feature Transform) features extraction under distributed environment. The proposed distributed dynamic parallel algorithm (DDP-SIFT) using a special data parallel approach that divides the Gauss Scale Space by octave aimed at acquiring large image blocks which is of great importance in some application. To make this approach effective, steps of building Gauss Scale Space are changed, and only the prerequisite part which is only 1/13 of the whole pyramid will be produced before tasks allocation, and Allocation Data Quantity (ADQ) is decreased by 13 times. Data blocks are assembled as tasks maintained in task lists, and dynamically allocated to Computing Nodes. A refined-blocking approach is proposed to further improve load balance. Our investigations show that the proposed algorithm has remarkable performance on accelerating SIFT features extraction while pursuing large data blocks. © 2010 IEEE.

关键词： parallel algorithms

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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...

引用

international symposium on parallel architectures, algorithms, and programming

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

ISBN: (纸本)9780769543123

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 aperiodic 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. © 2010 IEEE.

关键词： Sorting

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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

作者： Shi, Benyi Chen, Sihai Huang, Feifei Wang, Cheng Bi, Kun College of Optoelectronic Science and Engineering Huazhong University of Science and Technology Wuhan 470074 China Beijing Research Center for Information Technology in Agriculture Beijing 100079 China

ISBN: (纸本)9780769543123

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. © 2010 IEEE.

关键词： Image reconstruction

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A case study of SWIM: Optimization of memory intensive application on GPGPU

A case study of SWIM: Optimization of memory intensive appli...

引用

international symposium on parallel architectures, algorithms, and programming

作者： Yi, Wei Tang, Yuhua Wang, Guibin Fang, Xudong National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9780769543123

Recently, GPGPU has been adopted well in the High Performance Computing (HPC) field. The limited global memory bandwidth poses a great challenge to many GPGPU programmers trying to exploit parallelism within the CPUGPU heterogeneous platform. In this paper, we choose SWIM, a typical memory intensive application from the SPEC OMP 2001 benchmark suite, for case study. We attempt to optimize the performance and energy consumption of the application utilizing different memory access mechanisms and present optimization methods including matrix transposition and kernel fusion. The experimental results on the Intel CoreTM i920 CPU plus GeForce GTX 295 platform shows that, the proposed optimizing methods achieve a speedup of 8.7X over the original OpenMP program and reduce the energy consumption by 83% for the problem size of 2048*2048. © 2010 IEEE.

关键词： Energy utilization

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