지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- Korean Institute of Information Scientists and Engineers Journal of Computing Science and Engineering Journal of Computing Science and Engineering Vol.17 No.4
- 발행연도
- 2023.12
- 수록면
- 169 - 181 (13page)
- DOI
- 10.5626/JCSE.2023.17.4.169
이용수
초록· 키워드
오류제보하기
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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