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International Conference on high performance computing in the Asia-Pacific Region

作者： Xinda Lu Jie Chen High Performance Computing Laboratory Department of Computer Science and Engineering Shanghai Jiaotong University Shanghai China

ISBN: (纸本)0769505892

Loop tiling is an effective way to improve the cache hit ratio. However, while eliminating self-interference misses, tiling may produce small tiling factors for the cases of some arrays. In order to obtain stable and proper tiling factors, a new method that automatically generates tiling factors is proposed in this paper. These tiling factors are independent of arrays and can completely eliminate self-interference misses and can also significantly reduce cross-interference misses.

关键词： Interference elimination Space technology high performance computing Laboratories computer science Data engineering Automatic testing computer languages Operating systems

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A parallel loop self-scheduling on grid computing environments

A parallel loop self-scheduling on grid computing environmen...

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International Symposium on Parallel Architectures, Algorithms and Networks (ISPAN)

作者： Kuan-Wei Cheng Chao-Tung Yang Chuan-Lin Lai Shun-Chyi Chang High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan

ISBN: (纸本)0769521355

Internet computing and grid technologies promise to change the way we tackle complex problems. They will enable large-scale aggregation and sharing of computational, data and other resources across institutional boundaries. And harnessing these new technologies effectively will transform scientific disciplines ranging from high-energy physics to the life sciences. In this paper, a grid computing environment is proposed and constructed on multiple PC clusters by using Globus Toolkit (GT) and SUN Grid Engine (SGE). The experimental results are also conducted by using the matrix multiplication to demonstrate the performance. On the other hand, the approaches to deal with scheduling and load balancing on multiple heterogeneous PC clusters computer system are not mature. Self-scheduling schemes which are suitable for parallel loops with independent iterations on heterogeneous cluster computer system have been designed in the past. However, these schemes, such as FSS, GSS and TSS, can not achieve load balancing in extremely heterogeneous environment. We propose a heuristic approach based upon a two-phase scheme to solve parallel regular loop scheduling problem on an extremely heterogeneous grid computing environment.

关键词： Grid computing Processor scheduling Load management Internet Large-scale systems Physics Sun Search engines Concurrent computing Frequency selective surfaces

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Implementation of Monitoring and Information Service Using Ganglia and NWS for Grid Resource Brokers

Implementation of Monitoring and Information Service Using G...

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IEEE Asia-Pacific Conference on Services computing (APSCC)

作者： Chao-Tung Yang Tsui-Ting Chen Sung-Yi Chen High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan

Grid computing is increasingly used by organizations to achieve high performance computing and heterogeneous resources sharing. These grids may span several domain administrations via Internet. As a result of this, it may be difficult to monitor, control and manage those machines and resources. This paper aims at providing a multi-platform grid monitoring service which can monitor resources such as CPU speed and utilization, memory usage, disk usage, and network bandwidth in a real-time manner. Monitoring data is extracted form Ganglia and NWS tools then stored and transmitted in XML form and then used for displaying. All the information is displayed using real-time graphs.

关键词： Grid computing high performance computing Bandwidth Data mining computerized monitoring Condition monitoring Resource management XML Weather forecasting Chaos

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A dynamic file replication strategy in data grids

A dynamic file replication strategy in data grids

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IEEE Region 10 International Conference TENCON

作者： Chao-Tung Yang Chun-Pin Fu Chien-Jung Huang High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan

As large amount of data that is produced by scientific experiments and simulations, data grid is a very important and useful technique to solve these kinds of problems in this region. Data replication is one technique that many researchers discuss in past years in data grid. It can create many copies of file and stored in the appropriate location to shorten the time of getting the file. In this paper, we propose a dynamical maintenance service of replication to maintain the data in grid environment. Replicas will be adjusted to the appropriate location for using. The BHR algorithm is a strategy to maintain replica dynamically. We point out a scenario that the BHR algorithm will cause a mistake when it operates. That mistake will limit the speed of transferring file. We propose the Dynamic Maintenance Service is aimed at overcoming the mistake proposed. The contributions of this paper are that the data grid environment will be more efficiency by using DMS algorithm. And the experimental results show that the DMS algorithm is more efficient than other replication strategies.

关键词： Bandwidth Delay Grid computing Computational modeling Distributed computing Resource management computer networks high performance computing Chaos Laboratories

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Construct a grid computing environment for bioinformatics

Construct a grid computing environment for bioinformatics

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International Symposium on Parallel Architectures, Algorithms and Networks (ISPAN)

作者： Yu-Lun Kuo Chao-Tung Yang Chuan-Lin Lai Tsai-Ming Tseng High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan

ISBN: (纸本)0769521355

Internet computing and grid technologies promise to change the way we tackle complex problems. They will enable large-scale aggregation and sharing of computational, data and other resources across institutional boundaries. And harnessing these new technologies effectively will transform scientific disciplines ranging from high-energy physics to the life sciences. The computational analysis of biological sequences is a kind of computation driven science. Cause the biology data growing quickly and these databases are heterogeneous. We can use the grid system sharing and integrating the heterogeneous biology database. As we know, bioinformatics tools can speed up analysis the large-scale sequence data, especially about sequence alignment. The FASTA is a tool for aligning multiple protein or nucleotide sequences. FASTA which we used is a distributed and parallel version. The software uses a message-passing library called MPl (Message Passing Interface) and runs on distributed workstation clusters as well as on traditional parallel computers. A grid computing environment is proposed and constructed on multiple Linux PC clusters by using Globus Toolkit (GT) and SUN Grid Engine (SGE). The experimental results and performances of the bioinformatics tool using on grid system are also presented in this paper.

关键词： Grid computing Bioinformatics Sequences Biology computing Large-scale systems Databases Internet Physics Proteins Software libraries

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Using spatial correlations in distributed video coding

Using spatial correlations in distributed video coding

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International Symposium on Artificial Intelligence and Signal Processing (AISP)

作者： Mahmood Fathy Mohammad Haqqani High Performance Computing Laboratory Computer engineering Department Iran University of Science and Technology Tehran Iran

Distributed video coding (DVC) is a new paradigm of coding that makes very interest to itself in the past decade. It's usually based on temporal correlations between successive frames which are called key frames. But this approach failed for high object motion in a scene and need very complex decoder to cover it. In this paper we propose a novel technique to use spatial correlation instead of temporal correlation in a frame by dividing a single frame to two sub frames which one of them is used as a key frame for generate side information at the decoder. Simulation results show a significant improvement on rate distortion parameter in DVC schema.

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Design and implementation of a computational grid for bioinformatics

Design and implementation of a computational grid for bioinf...

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IEEE International Conference on e-Technology, e-Commerce and e-Service

作者： Chao-Tung Yang Yu-Lun Kuo Chuan-Lin Lai High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan

ISBN: (纸本)0769520731

The popular technologies, Internet computing and grid technologies promise to change the way we tackle complex problems. They enable large-scale aggregation and sharing of computational, data and other resources across institutional boundaries. And harnessing these new technologies effectively transforms scientific disciplines ranging from high-energy physics to the life sciences. The computational analysis of biological sequences is a kind of computation driven science. Cause the biology data growing quickly and these databases are heterogeneous. We can use the grid system sharing and integrating the heterogeneous biology database. As we know, bioinformatics tools can speed up analysis the large-scale sequence data, especially about sequence alignment and analysis. The FASTA is a tool for aligning multiple protein or nucleotide sequences. These two bioinformatics software, which we used is a distributed and parallel version. The software uses a message-passing library called MPI (message passing interface) and runs on distributed workstation clusters as well as on traditional parallel computers. A grid computing environment is proposed and constructed on multiple Linux PC clusters by using globus toolkit (GT) and SUN grid engine (SGE). The experimental results and performances of the bioinformatics tool using on grid system are also presented.

关键词： Grid computing Bioinformatics Biology computing Sequences Large-scale systems Databases Internet Physics Proteins Software libraries

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A Network Bandwidth-Aware Job Scheduling with Dynamic Information Model for Grid Resource Brokers

A Network Bandwidth-Aware Job Scheduling with Dynamic Inform...

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IEEE Asia-Pacific Conference on Services computing (APSCC)

作者： Chao-Tung Yang Fang-Yie Leu Wen-Jen Hu High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan

In this paper, we propose a resource broker, which providing a friendly interface for accessing available and appropriate resources via user credentials, is developed on a platform constructed by employing the Globus toolkit. This broker not only deploys a domain-based network information model and its dynamic version to measure network status by invoking Network Weather Service (NWS) on grid computing environments, but also uses the Ganglia and NWS tools to monitor resource status and network-related information. Based on the actual value of network bandwidth and preserving the advantages of our previous model, a network bandwidth-award job scheduling algorithm for grid resource brokerage is then developed for communication-intensive job execution. Furthermore, the network information and resource status collected are all up-to-date so that the resource broker can effectively match appropriate grid resources and userspsila requests to improve execution.

关键词： Dynamic scheduling Grid computing Monitoring computer networks Bandwidth Portals computer interfaces Scheduling algorithm Resource management Collaborative work

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A Jacobi Collocation Method for the Fractional Ginzburg-Landau Differential Equation

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Advances in Applied Mathematics and Mechanics 2020年第1期12卷 57-86页

作者： Yin Yang Jianyong Tao Shangyou Zhang Petr V.Sivtsev Hunan Key Laboratory for Computation and Simulation in Science and Engineering Key Laboratory of Intelligent Computing&Information Processing of Ministry of EducationSchool of Mathematics and Computational ScienceXiangtan UniversityXiangtanHunan 411105China Department of Mathematical Sciences University of DelawareNewarkDE 19716USA International Scientific and Research Laboratory of Multiscale Model Reduction and High Performance Computing Ammosov North Eastern UniversityKulakovskogo677013YakutskRussia

In this paper,we design a collocation method to solve the fractional Ginzburg-Landau equation.A Jacobi collocation method is developed and implemented in two ***,we space-discretize the equation by the Jacobi-Gauss-Lobatto collocation(JGLC)method in one-and two-dimensional *** equation is then converted to a system of ordinary differential equations(ODEs)with the time variable based on *** second step applies the Jacobi-Gauss-Radau collocation(JGRC)method for the time ***,we give a theoretical proof of convergence of this Jacobi collocation method and some numerical results showing the proposed scheme is an effective and high-precision algorithm.

关键词： The fractional Ginzburg-Landau equation Jacobi collocation method convergence

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A shareable e-learning platform using data grid technology

A shareable e-learning platform using data grid technology

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IEEE International Conference on e-Technology, e-Commerce and e-Service

作者： Chao-Tung Yang Hsin-Chuan Ho Department of Computer Science and Information Engineering High-Performance Computing Laboratory Tunghai University Taichung Taiwan

Over the past decade, speed in the transmission of knowledge is no longer the way it used to be. Due to this influence, conventional educational methodology has also followed this trend and has gone through a momentous transformation. An excellent example is e-learning which has achieved and broken through the restrictions of time and space. In recent years it has become one of the most popular teaching methods. SCORM (Sharable Course Object Reference Model) the most popular e-learning standard has been adapted from many differing e-learning platforms. Normally, courseware meeting SCORM standards is sharable with other e-learning platforms. Most e-learning platforms however are unable to share courseware directly on the Internet. With this in mind, we have employed one type of grid computing technology called "data grid" in order to achieve this. This technology allows the integration of different SCORM platforms into a huge e-learning environment.

关键词： Electronic learning Grid computing Courseware Least squares approximation Education Energy management Internet Educational institutions Content management computer architecture

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