Asian Journal of Innovation and Policy

Asian Society for Innovation and Policy (아시아기술혁신학회)
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Factors Influencing Supercomputing Resource Selection with PCA

  • Hyungwook Shim (Division of National Supercomputing Center, Korea Institute of Science and Technology Information) ;
  • Myungju Ko (Division of National Supercomputing Center, Korea Institute of Science and Technology Information) ;
  • Sunyoung Hwang (Division of National Supercomputing Center, Korea Institute of Science and Technology Information) ;
  • Jaegyoon Hahm (Division of National Supercomputing Center, Korea Institute of Science and Technology Information)
  • Received : 2024.02.21
  • Accepted : 2024.07.04
  • Published : 2024.04.30
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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.

Keywords

Acknowledgement

This research was supported by the Korea Institute of Science and Technology Information (KISTI).(No. K24L2M1C3).

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