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In-Database Machine Learning on Reconfigurable Dataflow Accelerators.
In-Database Machine Learning on Reconfigurable Dataflow Accelerators.
상세정보
- Material Type
- 학위논문
- 0016053990
- Date and Time of Latest Transaction
- 20220210094042
- ISBN
- 9798544204022
- DDC
- 001
- Author
- Vilim, Matthew.
- Title/Author
- In-Database Machine Learning on Reconfigurable Dataflow Accelerators.
- Publish Info
- [S.l.] : Stanford University., 2021
- Publish Info
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- Material Info
- 120 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 83-03, Section: A.
- General Note
- Advisor: Olukotun, Oyekunle Ayinde; Hennessy, John L.; Re, Christopher.
- 학위논문주기
- Thesis (Ph.D.)--Stanford University, 2021.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Software.
- Subject Added Entry-Topical Term
- Communication.
- Subject Added Entry-Topical Term
- Bandwidths.
- Subject Added Entry-Topical Term
- Aggregates.
- Subject Added Entry-Topical Term
- Flexibility.
- Subject Added Entry-Topical Term
- Relational data bases.
- Subject Added Entry-Topical Term
- Databases.
- Subject Added Entry-Topical Term
- Design.
- Subject Added Entry-Topical Term
- Energy efficiency.
- Subject Added Entry-Topical Term
- Spectrum allocation.
- Subject Added Entry-Topical Term
- Algorithms.
- Subject Added Entry-Topical Term
- Queries.
- Subject Added Entry-Topical Term
- Field programmable gate arrays.
- Subject Added Entry-Topical Term
- Car pools.
- Subject Added Entry-Topical Term
- Information science.
- Subject Added Entry-Topical Term
- Data analysis.
- Added Entry-Corporate Name
- Stanford University.
- Host Item Entry
- Dissertations Abstracts International. 83-03A.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- 소장사항
-
202202 2022
- Control Number
- joongbu:610895
MARC
008220603s2021 ulk 00 kor■001000016053990
■00520220210094042
■020 ▼a9798544204022
■035 ▼a(MiAaPQ)AAI28688324
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a001
■1001 ▼aVilim, Matthew.
■24510▼aIn-Database Machine Learning on Reconfigurable Dataflow Accelerators.
■260 ▼a[S.l.]▼bStanford University. ▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a120 p.
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-03, Section: A.
■500 ▼aAdvisor: Olukotun, Oyekunle Ayinde; Hennessy, John L.; Re, Christopher.
■5021 ▼aThesis (Ph.D.)--Stanford University, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0212.
■650 4▼aSoftware.
■650 4▼aCommunication.
■650 4▼aBandwidths.
■650 4▼aAggregates.
■650 4▼aFlexibility.
■650 4▼aRelational data bases.
■650 4▼aDatabases.
■650 4▼aDesign.
■650 4▼aEnergy efficiency.
■650 4▼aSpectrum allocation.
■650 4▼aAlgorithms.
■650 4▼aQueries.
■650 4▼aField programmable gate arrays.
■650 4▼aCar pools.
■650 4▼aInformation science.
■650 4▼aData analysis.
■690 ▼a0389
■690 ▼a0459
■690 ▼a0723
■71020▼aStanford University.
■7730 ▼tDissertations Abstracts International▼g83-03A.
■773 ▼tDissertation Abstract International
■790 ▼a0212
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16053990▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
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