I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Extending Data Flow Architectures for Convolutional Neural ..:
, In:
2023 International Conference on Field Programmable Technology (ICFPT)
,
Ibrahim, Mohamed
;
Zhao, Zhipeng
;
Hall, Mathew
. - p. 132-141 , 2023
Link:
https://doi.org/10.1109/ICFPT59805.2023.00020
RT T1 <cTitle>2023 International Conference on Field Programmable Technology (ICFPT)</cTitle>: T1 <Title>Extending Data Flow Architectures for Convolutional Neural Networks to Multiple FPGAs</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10416113&Exemplar=1&LAN=DE A1 Ibrahim, Mohamed A1 Zhao, Zhipeng A1 Hall, Mathew A1 Betz, Vaughn YR 2023 SN 2837-0449 K1 Solid modeling K1 Surveillance K1 Prototypes K1 Object detection K1 Hardware K1 Convolutional neural networks K1 Field programmable gate arrays K1 Machine Learning K1 FPGA K1 Artificial Intelligence K1 CNN Acceleration K1 Multi-FPGA K1 Data Flow Architecture K1 Convolutional Neural Networks SP 132 OP 141 LK http://dx.doi.org/https://doi.org/10.1109/ICFPT59805.2023.00020 DO https://doi.org/10.1109/ICFPT59805.2023.00020 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
