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
MAx-DNN: Multi-Level Arithmetic Approximation for Energy-Ef..:
, In:
2022 IEEE 13th Latin America Symposium on Circuits and System (LASCAS)
,
Leon, Vasileios
;
Makris, Georgios
;
Xydis, Sotirios
.. - p. 01-04 , 2022
Link:
https://doi.org/10.1109/LASCAS53948.2022.9789055
RT T1 <cTitle>2022 IEEE 13th Latin America Symposium on Circuits and System (LASCAS)</cTitle>: T1 <Title>MAx-DNN: Multi-Level Arithmetic Approximation for Energy-Efficient DNN Hardware Accelerators</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9789055&Exemplar=1&LAN=DE A1 Leon, Vasileios A1 Makris, Georgios A1 Xydis, Sotirios A1 Pekmestzi, Kiamal A1 Soudris, Dimitrios YR 2022 SN 2473-4667 K1 Deep learning K1 Computational modeling K1 Neural networks K1 Collaboration K1 Computer architecture K1 Energy efficiency K1 Task analysis K1 Approximate Computing K1 Inexact Multipliers K1 ASIC K1 Deep Neural Networks K1 ResNet K1 CIFAR-10 K1 TensorFlow SP 01 OP 04 LK http://dx.doi.org/https://doi.org/10.1109/LASCAS53948.2022.9789055 DO https://doi.org/10.1109/LASCAS53948.2022.9789055 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
