DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 정명수 | - |
dc.contributor.author | Choi, Hanjin | - |
dc.contributor.author | 최한진 | - |
dc.date.accessioned | 2024-07-30T19:31:40Z | - |
dc.date.available | 2024-07-30T19:31:40Z | - |
dc.date.issued | 2024 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=1097235&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/321657 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 전기및전자공학부, 2024.2,[iii, 33 p. :] | - |
dc.description.abstract | In this thesis, we propose software-hardware collaborative compute express link (CXL) memory disaggregation system for billion-scale approximate nearest neighbor search (ANNS). ANNS is widely used in commercial services such as image search, database, and recommendation systems by reason of high accuracy and low latency. However, in production-level ANNS, there is a challenge of requiring a large amount of memory due to the extensive dataset. CXL-ANNS is composed CXL memory dissaggregation system that can accomodate the billion-point graph dataset. Additionally, by using near data processing and data prefetch, the performance of CXL-ANNS is improved. Proposed CXL-ANNS exhibits $93.3%$ lower latency than state-of-the-art ANNS platforms. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | 컴퓨트 익스프레스 링크(Compute Express Link, CXL)▼a근사 근접 이웃 탐색▼a소프트웨어-하드웨어 통합 디자인 | - |
dc.subject | Compute Express Link(CXL)▼aApproximate Nearest Neighbor Search(ANNS)▼asoftware-hardware co-design | - |
dc.title | Software-hardware collaborative CXL memory dissaggregation system for billion-scale approximate nearest neighbor search | - |
dc.title.alternative | 수십억 규모의 근사 근접 이웃 탐색을 위한 소프트웨어-하드웨어 합동 CXL 메모리 확장 시스템 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :전기및전자공학부, | - |
dc.contributor.alternativeauthor | Jung, Myoungsoo | - |
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