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This item is licensed Korea Open Government License
- dc.contributor.author
- 오상윤
- dc.contributor.author
- 여상호
- dc.contributor.author
- 김대현
- dc.contributor.author
- 윤대건
- dc.contributor.author
- 주현수
- dc.contributor.author
- YE NAING
- dc.contributor.author
- 배민호
- dc.date.accessioned
- 2022-06-27T05:55:10Z
- dc.date.available
- 2022-06-27T05:55:10Z
- dc.date.issued
- 2019
- dc.identifier.other
- K-19-SG-27-02S-1
- dc.identifier.uri
- https://repository.kisti.re.kr/handle/10580/17320
- dc.publisher
- 한국과학기술정보연구원
- dc.title
- 초거대규모 CPU 기반 환경에서 딥러닝 응용의 12페타플롭스 병력확장성 연구
- dc.title.alternative
- Research on 12 PetaFLOPS scalability of deep learning application in large-scale CPU-based parallel environments
- dc.type
- Report
- dc.contributor.affiliation
- 한국과학기술정보연구원
- dc.contributor.affiliation
- KISTI
- dc.contributor.affiliation
- 아주대학교
- dc.identifier.localId
- 8074686
- dc.subject.keyword
- 기계학습
- dc.subject.keyword
- 플랫폼
- dc.subject.keyword
- 최적화
- dc.subject.keyword
- 초거대규모
- dc.subject.keyword
- 12PetaFLOPS
- Appears in Collections:
- 7. KISTI 연구성과 > 연구보고서 > 2019
- Files in This Item:
- There are no files associated with this item.
