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- Title
Preferences for Supercomputer Resources Using the Logit Model.
- Authors
Hyungwook Shim; Jaegyoon Hahm
- Abstract
Public research, which requires large computational resources, utilizes the supercomputers of the National Supercomputing Center in the Republic of Korea. The average utilization rate of resources over the past three years reached 80%. Therefore, to ensure the operational stability of this national infrastructure, specialized centers have been established to distribute the computational demand concentrated in the national centers. It is necessary to predict the computational demand accurately to build an appropriate resource scale. Therefore, it is important to estimate the inflow and outflow of computational demand between the national and specialized centers to size the resources required to construct specialized centers. We conducted a logit model analysis using the probabilistic utility theory to derive the preferences of individual users for future supercomputer resources. This analysis shows that the computational demand share of specialized centers is 59.5%, which exceeds the resource utilization plan of existing specialized centers.
- Subjects
SOUTH Korea; LOGISTIC regression analysis; SUPERCOMPUTERS; UTILITY theory; DISCRETE choice models
- Publication
Journal of Information & Communication Convergence Engineering, 2023, Vol 21, Issue 4, p261
- ISSN
2234-8255
- Publication type
Article
- DOI
10.56977/jicce.2023.21.4.261