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
PyTorch distributed: experiences on accelerating data paral..:
Li, Shen
;
Zhao, Yanli
;
Varma, Rohan
...
Proceedings of the VLDB Endowment. 13 (2020) 12 - p. 3005-3018 , 2020
Link:
https://doi.org/10.14778/3415478.3415530
RT Journal T1 <Title>PyTorch distributed: experiences on accelerating data parallel training</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.14778_3415478.3415530&Exemplar=1&LAN=DE A1 Li, Shen A1 Zhao, Yanli A1 Varma, Rohan A1 Salpekar, Omkar A1 Noordhuis, Pieter A1 Li, Teng A1 Paszke, Adam A1 Smith, Jeff A1 Vaughan, Brian A1 Damania, Pritam A1 Chintala, Soumith PB Association for Computing Machinery (ACM) YR 2020 SN 2150-8097 JF Proceedings of the VLDB Endowment VO 13 IS 12 SP 3005 OP 3018 LK http://dx.doi.org/https://doi.org/10.14778/3415478.3415530 DO https://doi.org/10.14778/3415478.3415530 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
