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공공누리This 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
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