• Title/Summary/Keyword: Parallel computing model

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New execution model for CAPE using multiple threads on multicore clusters

  • Do, Xuan Huyen;Ha, Viet Hai;Tran, Van Long;Renault, Eric
    • ETRI Journal
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    • v.43 no.5
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    • pp.825-834
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    • 2021
  • Based on its simplicity and user-friendly characteristics, OpenMP has become the standard model for programming on shared-memory architectures. Checkpointing-aided parallel execution (CAPE) is an approach that utilizes the discontinuous incremental checkpointing technique (DICKPT) to translate and execute OpenMP programs on distributed-memory architectures automatically. Currently, CAPE implements the OpenMP execution model by utilizing the DICKPT to distribute parallel jobs and their data to slave machines, and then collects the results after executing these distributed jobs. Although this model has been proven to be effective in terms of performance and compatibility with OpenMP on distributed-memory systems, it cannot fully exploit the capabilities of multicore processors. This paper presents a novel execution model for CAPE that utilizes two levels of parallelism. In the proposed model, we add another level of parallelism in the form of multithreaded processes on slave machines with the goal of better exploiting their multicore CPUs. Initial experimental results presented near the end of this paper demonstrate that this model provides significantly enhanced CAPE performance.

Design and Analysis of User's Libraries for Parallel Computing based on the Internet (인터넷 기반의 병렬 컴퓨팅을 위한 사용자 라이브러리 설계 및 성능 분석)

  • Sin, Pil-Seop;Jeong, Jun-Mok;Maeng, Hye-Seon;Hong, Won-Gi;Kim, Sin-Deok
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.11
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    • pp.2932-2945
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    • 1999
  • As the Internet and Java technology have been growing up, parallel processing approach to utilize those idle resources connected to the Internet has become quite attractive. In this paper, JICE(Java Internet Computing Environment) was implemented as a parallel computing platform based on the Internet using multithreading and RMI mechanisms provided by Java. The basic model of JICE is constructed as three components, such as a client, a set of workers, and a broker. A worker communicates with other workers via a globally shared memory system. It provides users with master-slave programming model and a collection of library functions. The basic model of JICE is also extended as a multimanaging system. This multimanaging system is evaluated by analysis to show its effectiveness. According to numerical analysis and experiments with several benchmarks, it is shown that the performance of basic model depends on the shared memory reference ratio and user's library is a quite promising.

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Optimal Design of a Direct-Driven PM Wind Generator Aimed at Maximum AEP using Coupled FEA and Parallel Computing GA

  • Jung, Ho-Chang;Lee, Cheol-Gyun;Hahn, Sung-Chin;Jung, Sang-Yong
    • Journal of Electrical Engineering and Technology
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    • v.3 no.4
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    • pp.552-558
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    • 2008
  • Optimal design of the direct-driven Permanent Magnet(PM) wind generator, combined with F.E.A(Finite Element Analysis) and Genetic Algorithm(GA), has been performed to maximize the Annual Energy Production(AEP) over the entire wind speed characterized by the statistical model of wind speed distribution. Particularly, the proposed parallel computing via internet web service has contributed to reducing excessive computing times for optimization.

PCG Algorithms for Development of PC level Parallel Structural Analysis Method (PC level 병렬 구조해석법 개발을 위한 PCG 알고리즘)

  • 박효선;박성무;권윤한
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 1998.10a
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    • pp.362-369
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    • 1998
  • The computational environment in which engineers perform their designs has been rapidly evolved from coarse serial machines to massively parallel machines. Although the recent development of high-performance computers are available for a number of years, only limited successful applications of the new computational environments in computational structural engineering field has been reported due to its limited availability and large cost associated with high-performance computing. As a new computational model for high-performance engineering computing without cost and availability problems, parallel structural analysis models for large scale structures on a network of personal computers (PCs) are presented in this paper. In structural analysis solving routine for the linear system of equations is the most time consuming part. Thus, the focus is on the development of efficient preconditioned conjugate gradient (PCG) solvers on the proposed computational model. Two parallel PCG solvers, PPCG-I and PPCG-II, are developed and applied to analysis of large scale space truss structures.

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Optical Pipelined Multi-bus Interconnection Network Intrinsic Topologies

  • d'Auriol, Brian Joseph
    • ETRI Journal
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    • v.39 no.5
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    • pp.632-642
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    • 2017
  • Digital all-optical parallel computing is an important research direction and spans conventional devices and convergent nano-optics deployments. Optical bus-based interconnects provide interesting aspects such as relative information communication speed-up or slow-down between optical signals. This aspect is harnessed in the newly proposed All-Optical Linear Array with a Reconfigurable Pipelined Bus System (OLARPBS) model. However, the physical realization of such communication interconnects needs to be considered. This paper considers spatial layouts of processing elements along with the optical bus light paths that are necessary to realize the corresponding interconnection requirements. A metric in terms of the degree of required physical constraint is developed to characterize the variety of possible solutions. Simple algorithms that determine spatial layouts are given. It is shown that certain communication interconnection structures have associated intrinsic topologies.

Retrieval of Assembly Model Data Using Parallel Web Services (병렬 웹 서비스를 이용한 조립체 모델 데이터의 획득)

  • Kim, Byung-Chul;Han, Soon-Hung
    • Korean Journal of Computational Design and Engineering
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    • v.13 no.3
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    • pp.217-226
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    • 2008
  • Web Services for CAD (WSC) aims at interoperation with CAD systems based on Web Services. This paper introduces one part of WSC which enables remote users to retrieve assembly model data using Web Services. However, retrieving assembly model data takes long time. To resolve this problem, this paper proposes using parallel Web Services. As assembly models comprise a set of part models, it is easy to separate the problem domain into smaller problems. In addition, Web Services inherently supports distributed computing. This characteristic makes the parallel processing of Web Services easy. Firstly, the implementation of WSC which retrieves assembly model data based parallel Web Services is shown. And then, for the comparison, the experiments on the retrieval of assembly model data based on single Web Services and parallel Web Services are shown.

Optimal Design of Permanent Magnet Wind Generator for Maximum Annual Energy Production (최대 연간 에너지 생산을 위한 영구자석형 풍력발전기의 최적설계)

  • Jung, Ho-Chang;Jung, Sang-Yong;Hahn, Sung-Chin;Lee, Cheol-Gyun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.12
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    • pp.2109-2115
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    • 2007
  • The wind generators have been installed with high output power to increase the energy production and efficiency. Hence, Optimal design of the direct-driven PM wind generator, coupled with F.E.M(Finite Element Method) and Genetic Algorithm(GA), has been performed to maximize the Annual Energy Production(AEP) over the whole wind speed characterized by the statistical model of wind speed distribution. Particularly, the parallel computing via internet web service has been applied to loose excessive computing times for optimization. The results of the optimal design of Surface-Mounted Permanent Magnet Synchronous Generator(SPMSG) are compared with each other candidates to verify the usefulness of the maximizing AEP model.

Parallel Computing Simulation of Large-Scale Polymer Electrolyte Fuel Cells (대면적 고분자전해질연료전지의 병렬계산 시뮬레이션)

  • Gwak, Geon-Hui;Chippar, Purushothama;Kang, Kyung-Mun;Ju, Hyun-Chul
    • Transactions of the Korean hydrogen and new energy society
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    • v.22 no.6
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    • pp.868-877
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    • 2011
  • This paper presents a parallel computing methodology for polymer electrolyte fuel cells (PEFCs) and detailed simulation contours of a real-scale fuel cell. In this work, a three-dimensional two-phase PEFC model is applied to a large-scale 200 $cm^2$ fuel cell geometry that requires roughly 13.5 million grid points based on grid-independence study. For parallel computing, the large-scale computational domain is decomposed into 12 sub-domains and parallel simulations are carried out using 12 processors of 2.53 GHz Intel core i7 and 48GB RECC DDR3-1333. The work represents the first attempt to parallelize a two-phase PEFC code and illustrate two-phase contours in a representative industrial cell.

Design of Web-based Parallel Computing Environment Using Aglet (Aglet을 이용한 웹 기반 병렬컴퓨팅 환경설계)

  • 김윤호
    • Journal of the Korea Computer Industry Society
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    • v.3 no.2
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    • pp.209-216
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    • 2002
  • World Wide Web has potential possibility of infrastructure for parallel computing environment connecting massive computing resources, not just platform to provide and share information via browser. The approach of Web-based parallel computing has many advantages of the ease of accessibility, scalability, cost-effectiveness, and utilization of existing networks. Applet has the possibility of decomposing the independent/parallel task, moving over network, and executing in computers connected in Web, but it lacks in the flexibility due to strict security semantic model. Therefore, in this paper, Web-based parallel computing environment using mobile agent, Aglet (Agile applet) was designed and possible implementation technologies and architecture were analyzed. And simple simulation and analysis was done compared with applet-based approach.

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A two-level parallel algorithm for material nonlinearity problems

  • Lee, Jeeho;Kim, Min Seok
    • Structural Engineering and Mechanics
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    • v.38 no.4
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    • pp.405-416
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    • 2011
  • An efficient two-level domain decomposition parallel algorithm is suggested to solve large-DOF structural problems with nonlinear material models generating unsymmetric tangent matrices, such as a group of plastic-damage material models. The parallel version of the stabilized bi-conjugate gradient method is developed to solve unsymmetric coarse problems iteratively. In the present approach the coarse DOF system is solved parallelly on each processor rather than the whole system equation to minimize the data communication between processors, which is appropriate to maintain the computing performance on a non-supercomputer level cluster system. The performance test results show that the suggested algorithm provides scalability on computing performance and an efficient approach to solve large-DOF nonlinear structural problems on a cluster system.