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Visuel: A novel performance monitoring and analysis toolkit for cluster and grid environments

6th International Conference on Algorithms and Architectures for parallel processing, ICA3PP

作者： Li, Kuan-Ching Cheng, Hsiang-Yao Yang, Chao-Tung Hsu, Ching-Hsien Wang, Hsiao-Hsi Hsu, Chia-Wen Hung, Sheng-Shiang Chang, Chia-Fu Liu, Chun-Chieh Pan, Yu-Hwa Parallel and Distributed Processing Center Department of Computer Science and Information Management Providence University Taichung 43301 Taiwan High Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung 40704 Taiwan Department of Computer Science and Information Engineering Chung Hua University Hsinchu 300 Taiwan

ISBN: (纸本)3540292357

The computing power provided by high performance low-cost PC-based Cluster and Grid platforms are attractive, and they are equal or superior to supercomputers and mainframes widely available. In this research paper, we present the design rationale and implementation of Visuel, a toolkit for performance measurement and analysis of MPI parallel programs and real time resources monitoring in cluster and grid computing environments. The proposed toolkit is web-based interface to show performance activities of all computing nodes involved in the execution of a MPI parallel program, such as CPU and memory usage levels of each computing node, and monitors all computing nodes of a computing platform by displaying real time performance data. In addition, this toolkit is able to display comparative performance data charts of multiple executions of MPI parallel application under investigation, which facilitates the "what-if" analysis. The usage of this toolkit shows that it outperforms in easing the process of investigation of parallel applications. © Springer-Verlag Berlin Heidelberg 2005.

关键词： distributed computer systems

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Implementation of visual MPI parallel program performance analysis tool for cluster environments

Implementation of visual MPI parallel program performance an...

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19th International Conference on Advanced Information Networking and Applications, AINA 2005

作者： Li, Kuan-Ching Chang, Hsun-Chang Yang, Chao-Tung Chang, Li-Jen Cheng, Hsiang-Yao Lee, Liang-Teh Parallel and Distributed Processing Center CSIM Dept. Providence Universiiy Taichung 43301 Taiwan HPC Laboratory CSIE Dept. Tunghai University Taichung 407 Taiwan Dept. of Computer Science and Engineering Tatung University Taipei 104 Taiwan

ISBN: (纸本)0769522491

In this paper, we present Visuel tool for performance measurement and analysis of MPI parallel program in cluster environments. Most of tools available today for cluster systems show solely system performance data (e.g., CPU load, memory usage, network bandwidth, machine-room temperature, server average load, among others), being more suitable for system administrators who maintain such system. The Visuel tool is designed to show performance data of all computer nodes involved in the execution of MPZ parallel program, such as CPU load level and memory usage. Additionally, this tool is able to display comparative performance data charts of multiple executions of the application (instrumented with MPI interface) under development. © 2005 IEEE.

关键词： parallel processing systems

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Applying linux high-availability and load balancing servers for video-on-demand (Vod) systems

Applying linux high-availability and load balancing servers ...

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5th Pacific Rim Conference on Multimedia, PCM 2004

作者： Yang, Chao-Tung Wang, Ko-Tzu Li, Kuan-Ching Lee, Liang-Teh High Performance Computing Laboratory Dept. of Computer Science and Information Engineering Tunghai University Taichung407 Taiwan Parallel and Distributed Processing Center Dept. of Computer Science and Information Management Providence University Taichung433 Taiwan Dept. of Computer Science and Engineering Tatung University Taipei104 Taiwan

ISBN: (纸本)9783540239772

In this research paper, we integrate and implement High-Availability (HA) and Load-Balancing technologies to clusters of workstations, increasing both the availability and scalability of services and resources in these systems. The cluster of workstations is commonly built and used as web-based VOD servers. Thus, this paper presents the hardware and software configurations of cluster systems working as VOD servers. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Cluster computing

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On implementation of a scalable wallet-size cluster computing system for multimedia applications

On implementation of a scalable wallet-size cluster computin...

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5th Pacific Rim Conference on Multimedia, PCM 2004

作者： Lee, Liang-Teh Li, Kuan-Ching Yang, Chao-Tung Tseng, Chia-Ying Liu, Kang-Yuan Hung, Chih-Hung Dept. of Computer Science and Engineering Tatung University Taipei104 Taiwan Parallel and Distributed Processing Center Dept. of Computer Science and Information Management Providence University Taichung433 Taiwan High Performance Computing Laboratory Dept. of Computer Science and Information Engineering Tunghai University Taichung407 Taiwan Networks and Multimedia Institute Institute for Information Industry Taipei106 Taiwan

ISBN: (纸本)9783540239857

In order to obtain a low-cost, low-power consumption and small sized digital home processing center, especially for multimedia applications, we propose a scalable wallet-size cluster computing system in this paper. Such system uses low-cost, low-power consumption and small sized microprocessors as computing nodes to form a cluster system. The main reason why we are interested to investigate and build such system is to increase the computing power and to accelerate the H.264 video processing. We analyzed the H.264 decoder scheme and distributed the most heavy-load computations in the decoder scheme to each computing node (or microprocessor) of the cluster system for the processing of signals, in parallel. To run multimedia applications in this cluster system, an efficient real-time video processing is implemented. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Computing power

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An enhanced parallel loop self-scheduling scheme for cluster environments

An enhanced parallel loop self-scheduling scheme for cluster...

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International Conference on Advanced Information Networking and Applications (AINA)

作者： Chao-Tung Yang Kuan-Wei Cheng Kuan-Ching Li High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan Parallel and Distributed Processing Center Department of Computer Science and Information Management Providence University Taichung Taiwan

ISBN: (纸本)0769522491

In this paper, a parallel loop self-scheduling scheme for heterogeneous PC cluster systems is proposed. Though the proposed scheme does allow users to choose parameters before the execution initialization phase, there are still weaknesses that motivate us to go further with new improvements in that scheme. For instance, a decision on a fixed and monotonous parameter can easily lead to invalid schedule by using previous input information. Thus, it is proposed in this paper a new scheme, where the scheduling parameter can be adjusted dynamically and fit into most widely available computer systems, in order to provide higher overall performance.

关键词： Processor scheduling Dynamic scheduling Load management Master-slave Concurrent computing distributed computing Clustering algorithms Runtime computer science Scheduling algorithm

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On implementation of an enhanced and integrated parallel programming Web-based toolkit

On implementation of an enhanced and integrated parallel pro...

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International Conference on Information Technology: Research and Education (ITRE)

作者： Kuan-Ching Li Chao-Tung Yang Parallel and Distributed Processing Center Department of Computer Science and Information Management Providence University Taichung Taiwan High Performance Computing Laboratory Department of Computer Science and Infnmation Engineering Tunghai University Taichung Taiwan

ISBN: (纸本)0780389328

The computing power provided by high performance and low cost PC-based clusters and grid computing platforms are attractive and they are equal or superior to supercomputers and mainframes. In parallel, discussions on how to obtain more computing power from these computing platforms become an interesting issue. The development of applications for these high-performance computing platforms is complicated for several reasons: the complexity of applications themselves, which combines aspects of super computing and distributed computing, and by the need to achieve higher performance. This paper describes the design rationale and implementation of a parallel programming Web-based toolkit, to ease the parallel programming learning process, with the use of Web-based interface. The toolkit has widely been used in MPI parallel programming courses (both in graduate and undergraduate levels) and industry trainings.

关键词： parallel programming Concurrent computing Application software distributed computing Grid computing High performance computing Visualization computer science Supercomputers Industrial training

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The anatomy of a course in cluster and grid computing

The anatomy of a course in cluster and grid computing

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International Conference on Information Technology: Research and Education (ITRE)

作者： Chao-Tung Yang Kuan-Ching Li High Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan Parallel and Distributed Processing Center Department of Computer Science and Information Management Providence University Taichung Taiwan

ISBN: (纸本)0780389328

Cluster and grid computing is a relatively new interdisciplinary field, where computer science, engineering and computational biology are its core supporting disciplines. The rise of cluster and grid computing discipline brings to computer science faculty members new opportunities and challenges, both in education and in research. In this paper, we explore issues in teaching cluster and grid computing, the developing of curricula, and thoughts to foster student to work on research projects in cluster and grid computing.

关键词： Anatomy Grid computing distributed computing Concurrent computing computer networks Brain modeling Predictive models computer science Education Space technology

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Decision tree construction for data mining on grid computing environments

Decision tree construction for data mining on grid computing...

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International Conference on Advanced Information Networking and Applications (AINA)

作者： Chao-Tung Yang Shu-Tzu Tsai Kuan-Ching Li High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan Parallel and Distributed Processing Center Department of Computer Science and Information Management Providence University Taichung Taiwan

ISBN: (纸本)0769522491

In this paper, the authors presented the grid-based decision tree architecture, with the intention of applying it to both parallel and sequential algorithms. Also, it is shown that, based on the scope and model of data mining applied in the grid environment as well as user equivalent perspective, grid roles can be categorized into three types. It was aimed, through these definitions, to help software developers define clear system processes and differentiate the application scope for software applications. To fulfill the architecture, an existing parallel decision tree algorithm was first applied (the SPRINT algorithm) to the grid environment. The performance and differences in many other areas are compared using datasets of different sizes. The experimental results will be used for future reference and further development.

关键词： Decision trees Data mining Grid computing computer architecture Clustering algorithms Concurrent computing distributed computing computer science Application software Chaos

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Implementation of visual MPI parallel program performance analysis tool for cluster environments

Implementation of visual MPI parallel program performance an...

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International Conference on Advanced Information Networking and Applications (AINA)

作者： Kuan-Ching Li Hsun-Chang Chang Chao-Tung Yang Li-Jen Chang Hsiang-Yao Cheng Liang-Teh Lee Parallel and Distributed Processing Center CSIM Department Providence University Taichung Taiwan HPC Laboratory CSIE Department Tunghai University Taichung Taiwan Department of Computer Science and Engineering Tatung University Taipei Taiwan

ISBN: (纸本)0769522491

In this paper, we present visual tool for performance measurement and analysis of MPI parallel programs in cluster environments. Most of tools available today for cluster systems show solely system performance data (e.g., CPU load, memory usage, network bandwidth, machine-room temperature, server average load, among others), being more suitable for system administrators who maintain such system. The visual tool is designed to show performance data of all computer nodes involved in the execution of MPI parallel program, such as CPU load level and memory usage. Additionally, this tool is able to display comparative performance data charts of multiple executions of the application (instrumented with MPI interface) under development.

关键词： Performance analysis Measurement System performance Bandwidth Temperature Network servers Concurrent computing computer displays Application software Instruments

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Journal of Information Science and engineering: Editorial notice

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Journal of Information Science and engineering 2005年第5期21卷 i-ii页

作者： Lee, Der-Tsai Amato, Nancy M. Chang, Shih-Fu Chen, Homer H. Chen, Tsuhan Hsu, Tsan-Sheng Hwang, Jenq-Neng Kuo, Sy-Yen Kuo, Tei-Wei Li, Chung-Sheng Tokuyama, Takeshi Wing, Jeannette Wu, Tzong-Chen Yen, John Computer Science at Texas A and M University United States Parasol Laboratory United States IEEE Transactions on Parallel and Distributed Systems Computing Research Association's Committee on the Status of Women in Computing Research CRA-W's Distributed Mentor Program United States Department of Electrical Engineering Columbia University United States Lab. United States College of Electrical Engineering and Computer Science National Taiwan University Taiwan IEEE Transactions on Circuits and Systems for Video Technology IEEE Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA United States ACM ACM SIGACT IEEE Computer Society IICM Austria Research and Development of the Department Multimedia Signal Processing Technical Committee IEEE Signal Processing Society United States IEEE Transactions on Circuits and systems for Video Technology College of Electrical Engineering and Computer Science National Taiwan Ocean University Keelung Taiwan Department of Electrical Engineering National Taiwan University Taiwan Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan IEEE Technical Committee on Real-Time Systems Computer Science Division IBM T.J. Watson Research Center United States IBM Research Division Graduate School of Information Sciences Tohoku University Japan ACM IPSJ Mathematical Society of Japan Japan Department of Computer Science Computer Science Department Carnegie Mellon University United States National Academies of Science's Computer Science and Telecommunications Board United States Microsoft's Trustworthy Academic Advisory Board Intel Research Pittsburgh's Advisory Board United States Dartmouth's Institute for Security Technology Studies Advisory Committee Canada Sloan Research Fellowships Program Committee United States ACM Taiwan China Information Sciences and Technology Pennsylvania State University United States Laboratory for Intelligent Agents Penn State's School of Info

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