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
Channel and filter parallelism for large-scale CNN training:
, In:
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
,
Dryden, Nikoli
;
Maruyama, Naoya
;
Moon, Tim
... - p. 1-20 , 2019
Link:
https://dl.acm.org/doi/10.1145/3295500.3356207
RT T1
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
: T1
Channel and filter parallelism for large-scale CNN training
UL https://suche.suub.uni-bremen.de/peid=acm-3356207&Exemplar=1&LAN=DE A1 Dryden, Nikoli A1 Maruyama, Naoya A1 Moon, Tim A1 Benson, Tom A1 Snir, Marc A1 Van Essen, Brian PB ACM YR 2019 K1 CNN K1 algorithms K1 convolution K1 deep learning K1 scaling SP 1 OP 20 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3295500.3356207 DO https://dl.acm.org/doi/10.1145/3295500.3356207 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)