Comparative study on national HPC core strategies for AI adaptation-focusing on South Korea and the United States

This study compares high-performance computing policies in the United States and South Korea to derive an effective future policy model, an efficient governance structure, and key policy implications. By analyzing the National Strategic Computing Initiative and the 3rd National HPC Master Plan, the study examines their technology development and industrial promotion strategies based on five key criteria: policy priorities, implementation system, technology development strategy, infrastructure, and resource management. The findings reveal that the NSCI prioritizes global technological leadership, next-generation technology development, and cybersecurity, whereas the Master Plan focuses on AI-driven demand, technological independence, and industrial applications. These differences highlight the need for a concrete policy model with execution roadmaps, particularly for quantum computing resource development and core software technologies tailored to new architectures. Strengthening governance structures and enhancing resource management strategies will be crucial for ensuring sustainable growth and competitiveness in HPC. The study provides valuable insights for policymakers in designing more effective and future-proof HPC strategies.

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Publication Details

Journal
Edelweiss Applied Science and Technology
Published
2025-03-08
DOI
https://doi.org/10.55214/25768484.v9i3.5283
Primary Topic
Technology and Data Analysis
Type
article
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article

Comparative study on national HPC core strategies for AI adaptation-focusing on South Korea and the United States

Hyungwook Shim, Min-ho Suh
Edelweiss Applied Science and Technology
Technology and Data Analysis
article

Comparative study on national HPC core strategies for AI adaptation-focusing on South Korea and the United States

Hyungwook Shim, Min-ho Suh
article en

Abstract

This study compares high-performance computing policies in the United States and South Korea to derive an effective future policy model, an efficient governance structure, and key policy implications. By analyzing the National Strategic Computing Initiative and the 3rd National HPC Master Plan, the study examines their technology development and industrial promotion strategies based on five key criteria: policy priorities, implementation system, technology development strategy, infrastructure, and resource management. The findings reveal that the NSCI prioritizes global technological leadership, next-generation technology development, and cybersecurity, whereas the Master Plan focuses on AI-driven demand, technological independence, and industrial applications. These differences highlight the need for a concrete policy model with execution roadmaps, particularly for quantum computing resource development and core software technologies tailored to new architectures. Strengthening governance structures and enhancing resource management strategies will be crucial for ensuring sustainable growth and competitiveness in HPC. The study provides valuable insights for policymakers in designing more effective and future-proof HPC strategies.

Edelweiss Applied Science and TechnologyVol. 9(3)
Korea Institute of Science & Technology Information (KR)
Openalex Percentile: Top 95%
Technology and Data Analysis
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