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- dc.contributor.author
- 우승범
- dc.contributor.author
- 김동훈
- dc.contributor.author
- 임채욱
- dc.contributor.author
- 구본호
- dc.contributor.author
- 김명석
- dc.contributor.author
- 정재순
- dc.date.accessioned
- 2022-06-27T05:55:12Z
- dc.date.available
- 2022-06-27T05:55:12Z
- dc.date.issued
- 2019
- dc.identifier.other
- J-19-SG-KT-01S-1
- dc.identifier.uri
- https://repository.kisti.re.kr/handle/10580/17356
- dc.publisher
- 한국과학기술정보연구원
- dc.title
- 누리온 특성을 이용한 해양·기상 분야 수치모델 및 딥러닝모델 최적화 방안 연구
- dc.title.alternative
- A Study on Parallel Optimization of Ocean-Atmosphere Regional Circulation Models and Deep Learning Model for Nurion Supercomputer System
- dc.type
- Report
- dc.contributor.affiliation
- 한국과학기술정보연구원
- dc.contributor.affiliation
- KISTI
- dc.contributor.affiliation
- 인하대학교
- dc.identifier.localId
- 8074706
- dc.subject.keyword
- 누리온
- dc.subject.keyword
- KNL
- dc.subject.keyword
- SKL
- dc.subject.keyword
- WRF
- dc.subject.keyword
- ROMS
- dc.subject.keyword
- FVCOM
- dc.subject.keyword
- 딥러닝모델
- Appears in Collections:
- 7. KISTI 연구성과 > 연구보고서 > 2019
- Files in This Item:
- There are no files associated with this item.
