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
CIMQ: A Hardware-Efficient Quantization Framework for Compu..:
Bai, Jinyu
;
Sun, Sifan
;
Zhao, Weisheng
.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43 (2024) 1 - p. 189-202 , 2024
Link:
https://doi.org/10.1109/tcad.2023.3298705
RT Journal T1 <Title>CIMQ: A Hardware-Efficient Quantization Framework for Computing-In-Memory-Based Neural Network Accelerators</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_tcad.2023.3298705&Exemplar=1&LAN=DE A1 Bai, Jinyu A1 Sun, Sifan A1 Zhao, Weisheng A1 Kang, Wang PB Institute of Electrical and Electronics Engineers (IEEE) YR 2024 SN 0278-0070 SN 1937-4151 JF IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems VO 43 IS 1 SP 189 OP 202 LK http://dx.doi.org/https://doi.org/10.1109/tcad.2023.3298705 DO https://doi.org/10.1109/tcad.2023.3298705 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
