• Proceedings of the Korean Society of Computational and Applied Mathematics Conference
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• 2003.09a
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• pp.5.1-5
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• 2003

In this paper, we study the convergence of relaxed multisplitting and relaxed nonstationary two-stage multisplitting methods associated with a multisplitting which is obtained from the ILU factorizations for solving a linear system whose coefficient matrix is an H-matrix. Also, parallel performance results of relaxed nonstaionary two-stage multisplitting method using ILU factorizations as inner splittings on the IBM p690 supercomputer are provided to analyze theoretical results.

• Membrane Journal
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• v.3 no.3
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• pp.94-107
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• 1993

Many researchers have discussed how membrane performance can be enhanced through an understanding of polymer science and engineering. The understandings of transport in porous membrane are used to achieve the isolation of certain components from mixtures. Particular emphasis is placed on the applicability of membrane separations for the isolation of macromolecules[1]. An awareness of membrane structure characteristics is required for the rational design of membranes for specific and/or new applications. This understanding rests on the knowledge of fields such as polymer thermodynamics[2], polymer adsorption [3, 4], diffusion in polymers[5, 6], reaction mechanism[7], and the dynamic behavior[8, 9] of polymer in porous membrane.

• Journal of applied mathematics & informatics
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• v.15 no.1_2
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• pp.77-90
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• 2004

In this paper, we study the convergence of both relaxed multisplitting method and nonstationary two-stage multisplitting method associated with a multisplitting which is obtained from the ILU factorizations for solving a linear system whose coefficient matrix is an H-matrix. Also, parallel performance results of nonstaionary two-stage multisplitting method using ILU factorizations as inner splittings on the IBM p690 supercomputer are provided to analyze theoretical results.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.159-160
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• 2009

하드웨어 기술이 발전하면서 단위 노드당 집적되는 CPU 수와 메모리량이 증가되어 단위 시스템의 성능이 크게 개선되었다. HPC 시스템도 SMP 시스템과 같은 고성능 노드를 사용하는 클러스터 시스템 위주로 발전하게 되었다. 본 연구에서는 IBM Power 595 기반 슈퍼컴퓨터에서 집합 통신이 갖는 특성을 알아 본다.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.30 no.11 s.254
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• pp.1447-1454
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• 2006

The evaluation of parallel performance of a high speed impact simulation is not an easy task because not only the development of parallel explicit code is difficult but also a large number of processors is not easily accessible. In this paper, the parallel performance of a new Lagrangian FEM impact code carried out on cluster supercomputer has been described in high speed range. In the case of metal sphere impacting to oblique plate, the overall speed-up continuously increases even up to 128 CPUs. Investigation of elapsed time of each part reveals that most of the inefficiency comes from the load imbalance of contact.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.118-121
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• 2021

슈퍼컴퓨터는 수백~수천 노드의 컴퓨팅 자원이 연결되어 복잡한 계산이나 대규모 데이터를 병렬 처리하며 일부 노드에서 발생하는 예상치 못한 문제는 전체적인 시스템 성능 저하로 이어질 수 있기 때문에 슈퍼컴퓨터 모니터링과 성능 분석은 슈퍼컴퓨터를 구축하고 운영하는데 필수적인 요소로 볼 수 있다. 본 논문에서는 오픈소스 소프트웨어인 Performance Co-Pilot, Bpftrace, Grafana를 활용한 슈퍼컴퓨터 모니터링 및 성능분석 시스템 구축 방안을 제안하였으며 이를 통해서 확장가능하면서도 유연한 구조의 슈퍼컴퓨터 모니터링 및 성능 분석이 가능함을 보였다.

• Journal of Technology Innovation
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• v.23 no.2
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• pp.33-54
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• 2015

Supercomputing performance demand forecasting at the national level is an important information to the researchers in fields of the computational science field, the specialized agencies which establish and operate R&D infrastructure, and the government agencies which establish science and technology infrastructure. This study derived the factors affecting the scientific and technological capability through the analysis of supercomputing performance prediction research, and it proposed a hybrid forecasting model of applying the super-computer technology trends. In the cross-sectional analysis, multiple regression analysis was performed using factors with GDP, GERD, the number of researchers, and the number of SCI papers that could affect the supercomputing performance. In addition, the supercomputing performance was predicted by multiplying in the cross-section analysis with technical progress rate of time period which was calculated by time series analysis using performance(Rmax) of Top500 data. Korea's performance scale of supercomputing in 2016 was predicted using the proposed forecasting model based on data of the top500 supercomputer and supercomputing performance demand in Korea was predicted using a cross-sectional analysis and technical progress rate. The results of this study showed that the supercomputing performance is expected to require 15~30PF when it uses the current trend, and is expected to require 20~40PF when it uses the trend of the targeting national-level. These two results showed significant differences between the forecasting value(9.6PF) of regression analysis and the forecasting value(2.5PF) of cross-sectional analysis.

• 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.

• Journal of Computing Science and Engineering
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• v.6 no.4
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• pp.280-286
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• 2012

The last decades have witnessed an increasingly indispensible role of high performance computing (HPC) in science, business and financial sectors, as well as military and national security areas. To introduce key aspects of HPC to a broader community, an HPC session was organized for the first time ever for the United States and Korea Conference (UKC) during 2012. This paper summarizes four invited talks that each covers scientific HPC applications, large-scale parallel file systems, administration/maintenance of supercomputers, and green technology towards building power efficient supercomputers of the next generation.

• 한국전산유체공학회:학술대회논문집
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• 1999.11a
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• pp.187-192
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• 1999

A metacomputing system is constructed by integrating the heterogeneous supercomputers at KORDIC supercomputer center. The implementation is directed toward building up an easy-to-use supercomputing environment for Computational Fluid Dynamics (CFD) simulations. The key feature is an automatic resource selection According to the predicted performance, the system assigns the request job to the most suitable resource which satisfies the user's demands. Verification tests are conducted by using example CFD applications. An overview of the system is given and derivation of performance prediction models is described in details. Discussion is made of the test results to illustrate applicability and usefulness of the proposed models.