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A study on demand management plans for National Supercomputer resources

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  • Shim, Hyungwook
  • Hahm, Jaegyoon

Abstract

In response to the rapid surge in AI computing demand at a large scale, the requirement for effective management of national supercomputing resources has emerged in the Republic of Korea. The objective is to not just amplify supply in accordance with demand but also regulate demand based on supply availability. The primary rationale behind this pertains to our complete reliance on purchasing foreign computing resources. Given that all expenditures for resource development are drawn from the government budget, numerous economic constraints come into play. Therefore, this study outlines a plan for managing the demand of national supercomputing resources and assesses its impact across various scenarios. By utilizing operational data from the National Center's supercomputing operations, we evaluated the potential and degree of enhancement in operational efficiency using Data Envelopment Analysis. Additionally, we scrutinized the effects of enhancing operational efficiency for each scenario by applying the Valley-Filling demand-management approach. To quantitatively compare operational effects in each scenario, load factor metrics were employed. The analysis revealed both the tangible improvement in operational efficiency due to demand management and crucial factors pivotal for formulating future demand management strategies. The outcomes are expected to serve as a primary guide for shaping a demand management system and devising prospective action plans.

Suggested Citation

  • Shim, Hyungwook & Hahm, Jaegyoon, 2023. "A study on demand management plans for National Supercomputer resources," Technology in Society, Elsevier, vol. 75(C).
    • Handle: RePEc:eee:teinso:v:75:y:2023:i:c:s0160791x23001811
    DOI: 10.1016/j.techsoc.2023.102376
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