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The anatomy of a course in cluster and grid computing

The anatomy of a course in cluster and grid computing

引用

ITRE 2005 - 3rd International Conference on Information Technology: Research and Education

作者： Yang, Chao-Tung Li, Kuan-Ching High Performance Computing Laboratory Dept. of Computer Science and Information Engineering Tunghai University Taichung City Taichung 40704 Taiwan Parallel and Distributed Processing Center Dept. of Computer Science and Information Management Providence University Shalu Taichung 43301 Taiwan

ISBN: (纸本)0780389328

Cluster and grid computing is a relatively new interdisciplinary field, where computer science, engineering and computational biology as 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 will 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. © 2005 IEEE.

关键词： Education

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An efficient parallel loop self-scheduling on grid environments

引用

IFIP International Conference on Network and parallel Computing, NPC 2004

作者： Yang, Chao-Tung Cheng, Kuan-Wei Li, Kuan-Ching 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 Shalu Taichung433 Taiwan

ISBN: (纸本)3540233881

The approaches to deal with scheduling and load balancing on PC-based cluster systems are famous and well-known. Self-scheduling schemes, which are suitable for parallel loops with independent iterations on cluster computer system, they have been designed in the past. In this paper, we propose a new scheme that can adjust the scheduling parameter dynamically on an extremely heterogeneous PC-based cluster and grid computing environments in order to improve system performance. A grid computing environment consists of multiple PC-based clusters is constructed using Globus Toolkit and SUN Grid Engine middleware. The experimental results show that our scheduling can result in higher performance than other similar schemes. © IFIP International Federation for Information processing 2004.

关键词： Scheduling

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An Architecture of parallel Tiled QRD Algorithm for MIMO-OFDM Systems

An Architecture of Parallel Tiled QRD Algorithm for MIMO-OFD...

引用

IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

作者： Cang Liu Chuan Tang Zuocheng Xing Lirui Chen Yang Zhang Guitao Fu National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha China Beijing Satellite Navigation Center Beijing China

ISBN: (纸本)9781509032068

The QR decomposition (QRD) has been extensively adopted in the transceiver processor of Multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) systems. The antenna configuration of future MIMO-OFDM system is very flexible. Therefore, the QRD architecture should also has the flexibility feature to decompose various dimensional channel response matrices. However, the existing QRD hardware architectures for MIMO-OFDM systems mainly focus on several fixed dimensional matrices. Due to the flexibility and scalability of parallel tiled QRD algorithm, it is very suitable for future MIMO-OFDM systems. A versatile hardware architecture (Ver_Arch) is designed for the bottleneck operations of parallel tiled QRD algorithm in this paper. Based on the designed Ver_Arch, we also design a QRD architecture for 4×4 real matrix. To the best of our knowledge, this is the first paper that presents a completed QRD hardware architecture based on the parallel tiled QRD algorithm for MIMO-OFDM wireless communication systems.

关键词： Matrix decomposition Hardware Algorithm design and analysis Computer architecture Wireless communication MIMO OFDM

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On construction of a visualization toolkit for MPI parallel programs in cluster environments

On construction of a visualization toolkit for MPI parallel ...

引用

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

作者： Li, Kuan-Ching Chang, Hsun-Chang Yang, Chao-Tung Sato, Liria Matsumoto Yang, Chung-Yuan Wu, Yin-Yi Pel, Mao-Yueh Liao, Hsiang-Kai Hsieh, Min-Chieh Tsai, Chia-Wen Parallel and Distributed Processing Center CSIM Dept. Providence University Shalu Taichung 433 Taiwan MPC Laboratory CSIE Dept. Tunghai University Taichung 407 Taiwan LASE Laboratory PCS Dept. University of Sao Paulo SP 05508-900 Brazil

ISBN: (纸本)0769522491

The low cost and wide availability of PC-based clusters have made them an excellent alternative to access supercomputing. However, while network of workstations may be readily available, there is an increasing need for performance tools that support these platforms, in order to achieve even higher performance. One of possible ways to increase performance is parallel program restructuring. It is introduced in this paper a toolkit to generate graphical charts for visualization of MPI parallel programs, reflecting to its execution over time, with the use of DP*Graph representation, parallel version of timing graph. In other words, parallel programs are shown through charts its sequential codes, dependencies and communication structures in a particular cluster system platform. Still in thispaper, it is discussed the implementation of this toolkit and present some experimental results obtained. © 2005 IEEE.

关键词： parallel processing systems

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Quality evaluation of airfoil hybrid mesh based on graph neural network 19th

Quality evaluation of airfoil hybrid mesh based on graph neu...

引用

19th Chinese Intelligent Systems Conference, CISC 2023

作者： Wang, Huaiqing Pang, Yufei Xiao, Sumei Wang, Zhichao School of Manufacturing Science and Engineering Southwest University of Science and Technology Mianyang621010 China Computational Aerodynamics Istitute China Aerodynamics Research and Development Center Mianyang621010 China Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha410073 China

ISBN: (纸本)9789819968817

In airfoil numerical simulation, the mesh quality has an important influence on the accuracy and error of numerical simulation. The existing mesh quality evaluation requires a lot of manual interaction, which greatly reduces the efficiency of mesh generation and necessitates the implementation of intelligent mesh evaluation methods. Graph neural networks can extract features from graph data, possess self-adaptability and generalization ability, and have been successfully applied in many industries. In this paper, we propose a deep graph neural network, SDeepNet, to evaluate mesh quality and construct a large-scale mixed mesh dataset, MixSet, for training and validating the model. We test and compare the performance of the mesh quality evaluation models GridNet, GMeshNet, and SDeepNet on the mesh dataset MixSet. The experimental results show that the SDeepNet model can achieve high accuracy and recall in the mixed mesh quality evaluation task. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

关键词： Mesh generation

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Two-Stage Convolutional Neural Network for Knee Osteoarthritis Diagnosis in X-Rays

Two-Stage Convolutional Neural Network for Knee Osteoarthrit...

引用

International Conference on Medical Imaging and Computer-Aided Diagnosis, MICAD 2021

作者： Wang, Kang Niu, Xin Dou, Yong Yang, Di Xie, Dongxing Yang, Tuo National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha410073 China Department of Orthopaedics Xiangya Hospital Central South University Changsha410008 China Department of Health Management Center Xiangya Hospital Central South University Changsha410008 China

ISBN: (纸本)9789811638794

Knee osteoarthritis (OA) is a common musculoskeletal illness. To solve the problem that inaccurate knee joint localization and inadequate knee OA features extracted from plain radiographs affect the accuracy of knee OA diagnosis in X-rays, we propose a novel Two-Stage Convolutional Neural Network (TS-CNN) method, consisting of the KneeDetnet and the KLnet. The KneeDetnet with two small multi-task convolutional neural networks is proposed to locate knee joints, improving the accuracy of knee joint localization. Then KLnet is designed to assess knee OA, where a shared Siamese network via ResNet is used to extract more discriminative deep learning features that are fused with gender information for obtaining richer features. Our method is evaluated on public OAI and MOST datasets. The highest detection accuracy of knee joints can reach 99.93% and 99.02% on two datasets, respectively. The KLnet algorithm achieves 78.85% and 68.20% prediction accuracy on the OAI and MOST datasets, respectively. Experimental results show that our method outperforms the existing workhorse. The proposed approach may become a potentially useful tool for assisting physicians. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Convolutional neural networks

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On design of cluster and grid computing environment toolkit for bioinformatics applications∗ 6th

引用

6th International Workshop on distributed Computing, IWDC 2004

作者： Yang, Chao-Tung Kuo, Yu-Lun Li, Kuan-Ching Gaudiot, Jean-Luc High Performance Computing Laboratory Dept. of Computer Science and Information Engineering Tunghai University Taichung40744 Taiwan Parallel and Distributed Processing Center Dept. of Computer Science and Information Management Providence University Taichung43301 Taiwan Parallel and Scalable Computer Architecture Laboratory Dept. of Electrical Engineering and Computer Science University of California – Irvine IrvineCA92697 United States

ISBN: (纸本)9783540240761

In this paper, we present BioGrid, a novel computing resource that combines advantages of grid computing technology with bioinformatics parallel applications. The grid environment permits the sharing of a large amount of idle computing resources and data. The investigation of bioinformatics demands orders of magnitude of computing resources and in parallel, the biological data are growing in such a high speed. By using BioGrid, we plan to integrate and share resources and biological data using the grid computing technology. Still in this paper, the well-known FASTA application is performed as matter of testing and analysis in our grid computing platform, as goal to show the improved efficiency and reduced computation time. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Bioinformatics

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Information recycling for social creativity

Information recycling for social creativity

引用

International Conference on Awareness Science and Technology (iCAST)

作者： Yilang Wu Takanobu Watanabe Distributed Parallel Processing Laboratory University of Aizu Aizu-wakamatsu Japan University Business Innovation Center University of Aizu Aizu-wakamatsu Japan

Social brainstorming has become a popular group creativity technique to create a large number of ideas for solving problems. The social computing, for its advance in information processing and network communication, collaborates the social intelligence and enhances the social creativity in brainstorming. However, facing the dilemma of quantity deficiency in idea pondering or quality submergence in idea deluge, cooperative participants essentially require needed information for their innovative work rather than unnecessary disturbance. Therefore, in purpose of enhancing the social creativity, we propose the needed information recycling based on multi-features in meta-data and also the similarity in social graph, helping participants keep a global and local image of previous work and focus on innovation tasks. Given an experimental demo, we discuss the essential merits of the novel brainstorming through the comprehensive but collaborative inter-merge of the social network and computer network, and conclude that the needed information recycling breeds the efficient and effective social creativity.

关键词： Collaboration Explosions

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A recursive-adjustment co-allocation scheme in data grid environments 1

引用

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

作者： Yang, Chao-Tung Yang, I.-Hsien Li, Kuan-Ching Hsu, Ching-Hsien High Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung 40704 Taiwan Parallel and Distributed Processing Center Department of Computer Science and Information Management Providence University Taichung 43301 Taiwan Department of Computer Science and Information Engineering Chung Hua University Hsinchu 300 Taiwan

ISBN: (数字)9783540320715

ISBN: (纸本)3540292357

The co-allocation architecture was developed in order to enable parallel downloads of datasets from multiple servers. Several co-allocation strategies have been coupled and used to exploit rate differences among various client-server links and to address dynamic rate fluctuations by dividing files into multiple blocks of equal sizes. However, a major obstacle, the idle time of faster servers having to wait for the slowest server to deliver the final block, makes it important to reduce differences in finish time among replica servers. In this paper, we propose a dynamic co-allocation scheme, namely Recursive-Adjustment Co-Allocation scheme, to improve the performance of data transfer in Data Grids. Our approach reduces the idle time spent waiting for the slowest server and decreases data transfer completion time. © Springer-Verlag Berlin Heidelberg 2005.

关键词： parallel processing systems

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On utilization of the grid computing technology for video conversion and 3D rendering

On utilization of the grid computing technology for video co...

引用

3rd International Symposium on parallel and distributed processing and Applications, ISPA 2005

作者： Yang, Chao-Tung Lai, Chuan-Lin Li, Kuan-Ching Hsu, Ching-Hsien Chu, William C. High Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung 40704 Taiwan Parallel and Distributed Processing Center Department of Computer Science and Information Management Providence University Taichung 43301 Taiwan Department of Computer Science and Information Engineering Chung Hua University Hsinchu 300 Taiwan

ISBN: (纸本)3540297693

In this paper, we investigate the recent popular computing technique called Grid Computing, and use video conversion and 3D rendering applications to demonstrate this technology's effectiveness and high performance. We also report on developing a resource broker called Phantom that runs on our grid computing testbed and whose main function is querying nodes in grid computing environments and showing their system information to aid in selecting the best nodes for job assignments to have the jobs executed in the least amount of time. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Computability and decidability

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