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
CANN : Curable Approximations for High-Performance Deep ..:
, In:
Proceedings of the 56th Annual Design Automation Conference 2019
,
Hanif, Muhammad Abdullah
;
Khalid, Faiq
;
Shafique, Muhammad
- p. 1-6 , 2019
Link:
https://dl.acm.org/doi/10.1145/3316781.3317787
RT T1
Proceedings of the 56th Annual Design Automation Conference 2019
: T1
CANN : Curable Approximations for High-Performance Deep Neural Network Accelerators
UL https://suche.suub.uni-bremen.de/peid=acm-3317787&Exemplar=1&LAN=DE A1 Hanif, Muhammad Abdullah A1 Khalid, Faiq A1 Shafique, Muhammad PB ACM YR 2019 K1 Accelerator K1 Approximate Computing K1 DNN K1 Energy Efficiency K1 High-Performance K1 MAC K1 Neural Network K1 Power Efficiency SP 1 OP 6 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3316781.3317787 DO https://dl.acm.org/doi/10.1145/3316781.3317787 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)