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
Effective GPU Parallelization of Distributed and Localized ..:
, In:
2022 IEEE 17th International Conference on Control & Automation (ICCA)
,
Alonso, Carmen Amo
;
Tseng, Shih-Hao
- p. 199-206 , 2022
Link:
https://doi.org/10.1109/ICCA54724.2022.9831839
RT T1 <cTitle>2022 IEEE 17th International Conference on Control & Automation (ICCA)</cTitle>: T1 <Title>Effective GPU Parallelization of Distributed and Localized Model Predictive Control</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9831839&Exemplar=1&LAN=DE A1 Alonso, Carmen Amo A1 Tseng, Shih-Hao YR 2022 SN 1948-3457 K1 Runtime K1 Instruction sets K1 Graphics processing units K1 Performance gain K1 Prediction algorithms K1 Optimization K1 Information exchange SP 199 OP 206 LK http://dx.doi.org/https://doi.org/10.1109/ICCA54724.2022.9831839 DO https://doi.org/10.1109/ICCA54724.2022.9831839 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
