• Title, Summary, Keyword: Parallel Computing

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Infrastructure of Grid-based Distributed Remotely Sensed Images Processing Environment and its Parallel Intelligence Algorithms

  • ZHENG, Jiang;LUO, Jian-Cheng;Hu, Cheng;CHEN, Qiu-Xiao
    • Proceedings of the KSRS Conference
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    • pp.1284-1286
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    • 2003
  • There is a growing demand on remotely sensed and GIS data services in modern society. However, conventional WEB applications based on client/server pattern can not meet the criteria in the future . Grid computing provides a promising resolution for establishing spatial information system toward future applications. Here, a new architecture of the distributed environment for remotely sensed data processing based on the middleware technology was proposed. In addition, in order to utilize the new environment, a problem had to be algorithmically expressed as comprising a set of concurrently executing sub-problems or tasks. Experiment of the algorithm was implemented, and the results show that the new environmental can achieve high speedups for applications compared with conventional implementation.

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Parallel Computing Based Design Framework for Multidisciplinary Design Optimization (병렬 컴퓨팅 기반 다분야통합최적설계 지원 설계 프레임워크)

  • Chu, Min-Sik;Lee, Yong-Bin;Lee, Se-Jung;Choi, Dong-Hoon
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.33 no.8
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    • pp.34-41
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    • 2005
  • A parallel computing technique was applied to large scale structure analysis or aerodynamic design and it is a essential element in reducing the huge computation time for large scale design problem. We can use a many computers for reducing the analysis time of multidisciplinary design optimization. But previous MDO frameworks can not support a parallel design process technique so still existing which calls an analysis program continuously. In this paper, We developed a MDO framework(MLR) which supports a parallel design process to solve sequential analysis call. Finally, three sample cases are presented to show the efficiency of design time using the suggested MDO framework.

Development of Mobile Volume Visualization System (모바일 볼륨 가시화 시스템 개발)

  • Park, Sang-Hun;Kim, Won-Tae;Ihm, In-Sung
    • Journal of KIISE:Computing Practices and Letters
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    • v.12 no.5
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    • pp.286-299
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    • 2006
  • Due to the continuing technical progress in the capabilities of modeling, simulation, and sensor devices, huge volume data with very high resolution are common. In scientific visualization, various interactive real-time techniques on high performance parallel computers to effectively render such large scale volume data sets have been proposed. In this paper, we present a mobile volume visualization system that consists of mobile clients, gateways, and parallel rendering servers. The mobile clients allow to explore the regions of interests adaptively in higher resolution level as well as specify rendering / viewing parameters interactively which are sent to parallel rendering server. The gateways play a role in managing requests / responses between mobile clients and parallel rendering servers for stable services. The parallel rendering servers visualize the specified sub-volume with rendering contexts from clients and then transfer the high quality final images back. This proposed system lets multi-users with PDA simultaneously share commonly interesting parts of huge volume, rendering contexts, and final images through CSCW(Computer Supported Cooperative Work) mode.

Parallel damage detection through finite frequency changes on multicore processors

  • Messina, Arcangelo;Cafaro, Massimo
    • Structural Engineering and Mechanics
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    • v.63 no.4
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    • pp.457-469
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    • 2017
  • This manuscript deals with a novel approach aimed at identifying multiple damaged sites in structural components through finite frequency changes. Natural frequencies, meant as a privileged set of modal data, are adopted along with a numerical model of the system. The adoption of finite changes efficiently allows challenging characteristic problems encountered in damage detection techniques such as unexpected comparison of possible shifted modes and the significance of modal data changes very often affected by experimental/environmental noise. The new procedure extends MDLAC and exploits parallel computing on modern multicore processors. Smart filters, aimed at reducing the potential damaged sites, are implemented in order to reduce the computational effort. Several use cases are presented in order to illustrate the potentiality of the new damage detection procedure.

Application of computational technologies to R/C structural analysis

  • Hara, Takashi
    • Computers and Concrete
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    • v.8 no.1
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    • pp.97-110
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    • 2011
  • In this paper, FEM procedure is applied to the static and dynamic analyses of R/C structures. Simple R/C shell structure is solved by using FEM procedures and the experimental evaluations are performed to represent the applicability of FEM procedure to R/C structures. Also, R/C columns are analyzed numerically and experimentally. On the basis of these results, FEM procedures are applied to the R/C cooling tower structures assembled by huge R/C shell structure and a lot of discrete R/C columns. In this analysis, the parallel computing procedures are introduced into these analyses to reduce the computational effort. The dynamic performances of R/C cooling tower are also solved by the application of parallel computations as well. From the numerical analyses, the conventional FEM procedures combined with computational technologies enables us to design the huge R/C structures statically and dynamically.

Interprocedural Transformations for Parallel Computing

  • Park, Doo-Soon;Choi, Min-Hyung
    • Journal of Korea Multimedia Society
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    • v.9 no.12
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    • pp.1700-1708
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    • 2006
  • Since the most program execution time is consumed in a loop structure, extracting parallelism from loop programs is critical for the taster program execution. In this paper, we proposed data dependency removal method for a single loop. The data dependency removal method can be applied to uniform and non-uniform data dependency distance in the single loop. Procedure calls parallelisms with only a single loop structure or procedure call most of other methods are concerned with the uniform code within the uniform data dependency distance. We also propose an algorithm, which can be applied to uniform, non-uniform, and complex data dependency distance among the multiple procedures. We compared our method with conventional methods using CRAY-T3E for the performance evaluation. The results show that the proposed algorithm is effective.

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Application of Supercomputers(Cluster computers) to Railway Industry - Fire-Driven flow Simulation using Parallel Computational Method - (슈퍼컴퓨터(클러스터 컴퓨터)의 철도산업에서의 활용 - 병렬처리기법을 이용한 화재유동해석 -)

  • Kim, Hag-Beom;Jang, Yong-Jun;Lee, Chang-Hyun;Jung, Woo-Sung
    • Proceedings of the KSR Conference
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    • pp.1040-1046
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    • 2009
  • Thanks to the recent development of computing technology, the various forms of high-performance computers are available. Among them, the parallel-clustering CPU machines are realized for the high performance computing. These supercomputers (cluster computers) can be applied to various industries due to the advantages of lower price. Especially in the field of numerical flow simulation, use of supercomputers can produce results quickly, and various engineering problems can be reviewed effectively case by case. In this paper, an application of supercomputers (cluster computers) were examined for railroad industry of fire flow simulation by using parallel computational method. It make sure that the supercomputers are very useful tools for railroad engineering.

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An Active Enactment Architecture for Enterprise Workflow Grid (액티브 엔터프라이즈 워크플로우 그리드 아키텍처)

  • Paik, Su-Ki
    • Journal of Information Technology Services
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    • v.7 no.4
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    • pp.167-178
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    • 2008
  • This paper addresses the issue of workflow on Grid and P2P, and proposes a layered workflow architecture and its related workflow models that are used for not only distributing workflows' information onto Grid or P2P resources but also scheduling the enactment of workflows. Especially, the most critical rationale of this paper is on the fact that the nature of Grid computing environment is fitted very well into building a platform for the maximally parallel and very large scale workflows that are frequently found in very large scale enterprises. The layered architecture proposed in this paper, which we call Enterprise Workflow Grid Architecture, is targeting on maximizing the usability of computing facilities in the enterprise as well as the scalability of its underlined workflow management system in coping with massively parallel and very large scale workflow applications.

The Parallel ANN(Artificial Neural Network) Simulator using Mobile Agent (이동 에이전트를 이용한 병렬 인공신경망 시뮬레이터)

  • Cho, Yong-Man;Kang, Tae-Won
    • The KIPS Transactions:PartB
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    • v.13B no.6
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    • pp.615-624
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    • 2006
  • The objective of this paper is to implement parallel multi-layer ANN(Artificial Neural Network) simulator based on the mobile agent system which is executed in parallel in the virtual parallel distributed computing environment. The Multi-Layer Neural Network is classified by training session, training data layer, node, md weight in the parallelization-level. In this study, We have developed and evaluated the simulator with which it is feasible to parallel the ANN in the training session and training data parallelization because these have relatively few network traffic. In this results, we have verified that the performance of parallelization is high about 3.3 times in the training session and training data. The great significance of this paper is that the performance of ANN's execution on virtual parallel computer is similar to that of ANN's execution on existing super-computer. Therefore, we think that the virtual parallel computer can be considerably helpful in developing the neural network because it decreases the training time which needs extra-time.