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
Fast tree-based algorithms for DBSCAN for low-dimensional d..:
, In:
Proceedings of the 52nd International Conference on Parallel Processing
,
Prokopenko, Andrey
;
Lebrun-Grandie, Damien
;
Arndt, Daniel
- p. 503-512 , 2023
Link:
https://dl.acm.org/doi/10.1145/3605573.3605594
RT T1
Proceedings of the 52nd International Conference on Parallel Processing
: T1
Fast tree-based algorithms for DBSCAN for low-dimensional data on GPUs
UL https://suche.suub.uni-bremen.de/peid=acm-3605594&Exemplar=1&LAN=DE A1 Prokopenko, Andrey A1 Lebrun-Grandie, Damien A1 Arndt, Daniel PB ACM YR 2023 K1 DBSCAN K1 GPU K1 bounding volume hierarchy K1 parallel algorithm K1 Computing methodologies K1 Parallel computing methodologies K1 Parallel algorithms SP 503 OP 512 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3605573.3605594 DO https://dl.acm.org/doi/10.1145/3605573.3605594 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)