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
Selective Preemption of Distributed Deep Learning Training:
, In:
2023 IEEE 16th International Conference on Cloud Computing (CLOUD)
,
Go, Younghun
;
Shin, Changyong
;
Lee, Jeunghwan
... - p. 175-177 , 2023
Link:
https://doi.org/10.1109/CLOUD60044.2023.00028
RT T1
2023 IEEE 16th International Conference on Cloud Computing (CLOUD)
: T1
Selective Preemption of Distributed Deep Learning Training
UL https://suche.suub.uni-bremen.de/peid=ieee-10254967&Exemplar=1&LAN=DE A1 Go, Younghun A1 Shin, Changyong A1 Lee, Jeunghwan A1 Yoo, Yeonho A1 Yang, Gyeongsik A1 Yoo, Chuck YR 2023 SN 2159-6190 K1 Deep learning K1 Training K1 Cloud computing K1 Loading K1 Distributed deep learning K1 GPU cloud K1 Job scheduling K1 GPU scheduling K1 SRTF K1 Preemption SP 175 OP 177 LK http://dx.doi.org/https://doi.org/10.1109/CLOUD60044.2023.00028 DO https://doi.org/10.1109/CLOUD60044.2023.00028 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)