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
An Electro-Photonic System for Accelerating Deep Neural Net..:
Demirkiran, Cansu
;
Eris, Furkan
;
Wang, Gongyu
...
ACM Journal on Emerging Technologies in Computing Systems. 19 (2023) 4 - p. 1-31 , 2023
Link:
https://doi.org/10.1145/3606949
RT Journal T1
An Electro-Photonic System for Accelerating Deep Neural Networks
UL https://suche.suub.uni-bremen.de/peid=cr-10.1145_3606949&Exemplar=1&LAN=DE A1 Demirkiran, Cansu A1 Eris, Furkan A1 Wang, Gongyu A1 Elmhurst, Jonathan A1 Moore, Nick A1 Harris, Nicholas C. A1 Basumallik, Ayon A1 Reddi, Vijay Janapa A1 Joshi, Ajay A1 Bunandar, Darius PB Association for Computing Machinery (ACM) YR 2023 SN 1550-4832 SN 1550-4840 JF ACM Journal on Emerging Technologies in Computing Systems VO 19 IS 4 SP 1 OP 31 LK http://dx.doi.org/https://doi.org/10.1145/3606949 DO https://doi.org/10.1145/3606949 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)