Abstract

This paper analyzes the factors influencing the selection of supercomputing resources. Using the results of a survey targeting supercomputing resources in the public sector, a resource selection model was presented through logistic regression and principal component analysis methods. As a result of the analysis, it was confirmed that affiliation, purpose of use, size of research funding, possession of a supercomputer, and whether specialized services are needed have a significant impact on resource selection. In the future, we expect that the results of this study will be used in various ways to manage demand for supercomputing resources.