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저널정보
- Korean Institute of Information Scientists and Engineers
- Journal of Computing Science and Engineering 학술저널
- Journal of Computing Science and Engineering Vol.17 No.4
- 2023.12 169 - 181 (13page)
- DOI : 10.5626/JCSE.2023.17.4.169
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초록·키워드
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This study identified institutional gaps and improvement measures to correlate the “3rd Supercomputing Fostering Master Plan” established in 2023 with lower-level implementation plans. Institutional gaps were identified through matrix analysis of the major tasks. The analysis revealed the lack of planning for resource utilization, expansion of infrastructure, and dissemination of research results in the action plan. Hence, a joint utilization system should be established based on the law and a specialized center should be operated to establish specialized resources for each field. An evaluation system for the redesignation of a specialized center was selected as a necessary improvement. Evaluation items and points were adjusted through network centrality analysis using the existing evaluation result data. The improved evaluation model is expected to guide the development of a joint utilization system for supercomputers in Korea by enabling the effective redesignation of specialized centers. We plan an evaluation to determine whether to redesignate the seven specialized centers in Korea by applying the results of this study.
목차
Abstract
I. INTRODUCTION
II. LITERATURE REVIEW
III. SUPERCOMPUTING POLICY GOVERNANCE
IV. COMPARATIVE ANALYSIS RESULTS
V. EVALUATION SYSTEM FOR DESIGNATION OF SPECIALIZED CENTER
VI. METHODOLOGY
VII. CASE STUDY
VIII. CONCLUSION
REFERENCES
참고문헌 (9)
참고문헌 신청
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J. Veiga, R. R. Exposito, G. L. Taboada, and J. Tourino, “Analysis and evaluation of MapReduce solutions on an HPC cluster,” Computers & Electrical Engineering, vol. 50, pp. 200-216, 2016. https://doi.org/10.1016/j.compeleceng.2015.11.021
Y. Hu, X. Chi, D. Chen, D. K. Kahaner, and D. A. Yuen, “A quantitative index for measuring the development of supercomputing,” Concurrency and Computation: Practice and Experience, vol. 27, no. 17, pp. 4685-4703, 2015. https://doi.org/10.1002/cpe.3451
J. S. Kim, S. M. Lee, M. I. Kim, and J. G. Jang, “Economic value analysis of supercomputing service for small and medium-sized businesses,” IE Interfaces, vol. 23, no. 4, pp. 319-326, 2010.
M. Ko, M. Kim, and S. U. Park, “An economic ripple effect analysis of domestic supercomputing simulation in the industrial sector,” Journal of Information Science Theory and Practice, vol. 10(Special), pp. 66-75, 2022. https://doi.org/10.1633/JISTaP.2022.
J. Veiga, R. R. Exposito, G. L. Taboada, and J. Tourino, “Analysis and evaluation of MapReduce solutions on an HPC cluster,” Computers & Electrical Engineering, vol. 50, pp. 200-216, 2016. https://doi.org/10.1016/j.compeleceng.2015.11.021
Y. Hu, X. Chi, D. Chen, D. K. Kahaner, and D. A. Yuen, “A quantitative index for measuring the development of supercomputing,” Concurrency and Computation: Practice and Experience, vol. 27, no. 17, pp. 4685-4703, 2015. https://doi.org/10.1002/cpe.3451
J. S. Kim, S. M. Lee, M. I. Kim, and J. G. Jang, “Economic value analysis of supercomputing service for small and medium-sized businesses,” IE Interfaces, vol. 23, no. 4, pp. 319-326, 2010.
M. Ko, M. Kim, and S. U. Park, “An economic ripple effect analysis of domestic supercomputing simulation in the industrial sector,” Journal of Information Science Theory and Practice, vol. 10(Special), pp. 66-75, 2022. https://doi.org/10.1633/JISTaP.2022.
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