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In-Database Machine Learning on Reconfigurable Dataflow Accelerators.
In-Database Machine Learning on Reconfigurable Dataflow Accelerators.
In-Database Machine Learning on Reconfigurable Dataflow Accelerators.

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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

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■001000016053990
■00520220210094042
■020    ▼a9798544204022
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■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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