디지털융복합연구 (Journal of Digital Convergence)

한국디지털정책학회 (The Society of Digital Policy and Management)
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계산과학분야의 고성능컴퓨팅 교육 개선을 위한 탐색적 연구

A Study on the Improvement of High Performance Computing Education in Computational Science

  • 윤희준 (성균관대학교 교과교육학과) ;
  • 안성진 (성균관대학교 컴퓨터교육과)
  • Yoon, Heejun (Department of Disciplinary Education, Sungkyunkwan University) ;
  • Ahn, Seongjin (Department of Computer Education, Sungkyunkwan University)
  • 투고 : 2018.09.05
  • 심사 : 2018.12.20
  • 발행 : 2018.12.28
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초록

계산과학분야에서 고성능컴퓨팅(HPC)을 활용하기 위해서는 프로그래밍, 알고리즘, 자료구조 등 컴퓨터과학의 지식들과 기술들을 배워야 한다. 본 논문에서는 계산과학분야의 IT교육현황 조사와 설문조사를 통해 고성능컴퓨팅 교육을 개선시키기 위한 정책 방향을 제안하는데 있다. 이를 위해 국내 대학의 물리학, 화학, 생명과학, 지구과학분야의 전공과목 중에서 IT관련 과목 현황과 사용자들의 국내 고성능컴퓨팅 교육에 대한 인식을 조사하였다. 그 결과 계산과학분야의 IT과 목비율은 응용 전공과목에 비해 매우 낮았다. 대학의 교육 요구도는 높게 나왔지만, 대학의 교육 제공 수준은 제일 낮게 나왔다. 또한 대부분의 사용자들은 독학으로 필요한 지식과 기술들을 습득한 것으로 조사되었다. 즉 대학의 역할이 가장 시급하고 중요하며 전문기관과 온라인교육의 역할도 중요하다고 확인하였다.

In order to utilize HPC in Computational science, It is necessary to learn the knowledge and skills of computer science such as programming, algorithms and data structure. In this paper, we investigate IT education status in Computational science and propose policy directions to improve the HPC education through user survey. To do this, we surveyed the current state of IT subjects among major subjects in physics, chemistry, life sciences, and earth science in domestic universities and surveyed the users' Recognition of HPC education. As a result, the ratio of IT subjects in Computational science was very lower than the ratio of major domain subjects. Despite the high educational needs of universities, the educational level of universities was the lowest. Most users have learned the necessary knowledge and skills through self-study. We recognized the role of the university is the most urgent and important, and the role of professional institutions and online education is also important.

키워드

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Fig. 1. IT course status in Computational Science

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Fig. 2. Major course vs Computer science course in Computational Science

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Fig. 3. Need for HPC Education

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Fig. 4. Environment of HPC education

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Fig. 5. Experience of HPC education

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Fig. 6. Learning path of HPC Knowledge & Skill

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Fig. 7. Importance of HPC education types

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Fig. 8. Degree of provision by HPC educational type

Table 1. Researches on HPC Education Programs

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Table 2. Subject Balance(%Courses) for B.S degree programs in CS(%), CSE(%), CP(%), and PH(%)

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Table 3. Researches on HPC Education Programs

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Table 4. IT Subjects in Computational Science

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Table 5. t-test of HPC education type

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Table 6. Borich’s socre of HPC education type

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