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
DeepSpeed : System Optimizations Enable Training Deep Le..:
, In:
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
,
Rasley, Jeff
;
Rajbhandari, Samyam
;
Ruwase, Olatunji
. - p. 3505-3506 , 2020
Link:
https://dl.acm.org/doi/10.1145/3394486.3406703
RT T1
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
: T1
DeepSpeed : System Optimizations Enable Training Deep Learning Models with Over 100 Billion Parameters
UL https://suche.suub.uni-bremen.de/peid=acm-3406703&Exemplar=1&LAN=DE A1 Rasley, Jeff A1 Rajbhandari, Samyam A1 Ruwase, Olatunji A1 He, Yuxiong PB ACM YR 2020 K1 distributed deep learning K1 machine learning K1 Computing methodologies K1 Machine learning K1 Machine learning approaches SP 3505 OP 3506 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3394486.3406703 DO https://dl.acm.org/doi/10.1145/3394486.3406703 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)