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
Efficient Supernet Training Using Path Parallelism:
, In:
2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA)
,
Xu, Ying
;
Cheng, Long
;
Cai, Xuyi
... - p. 1249-1261 , 2023
Link:
https://doi.org/10.1109/HPCA56546.2023.10071099
RT T1
2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA)
: T1
Efficient Supernet Training Using Path Parallelism
UL https://suche.suub.uni-bremen.de/peid=ieee-10071099&Exemplar=1&LAN=DE A1 Xu, Ying A1 Cheng, Long A1 Cai, Xuyi A1 Ma, Xiaohan A1 Chen, Weiwei A1 Zhang, Lei A1 Wang, Ying YR 2023 SN 2378-203X K1 Training K1 Correlation K1 Computational modeling K1 Neural networks K1 Merging K1 Graphics processing units K1 Computer architecture SP 1249 OP 1261 LK http://dx.doi.org/https://doi.org/10.1109/HPCA56546.2023.10071099 DO https://doi.org/10.1109/HPCA56546.2023.10071099 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)