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
High Efficient Bandwidth Utilization Hardware Design and Im..:
, In:
2020 International SoC Design Conference (ISOCC)
,
Wu, Chung-Bin
;
Hwang, Yin-Tsung
;
Hsueh, Yu-Cheng
. - p. 193-194 , 2020
Link:
https://doi.org/10.1109/ISOCC50952.2020.9333025
RT T1
2020 International SoC Design Conference (ISOCC)
: T1
High Efficient Bandwidth Utilization Hardware Design and Implement for AI Deep Learning Accelerator
UL https://suche.suub.uni-bremen.de/peid=ieee-9333025&Exemplar=1&LAN=DE A1 Wu, Chung-Bin A1 Hwang, Yin-Tsung A1 Hsueh, Yu-Cheng A1 Hsiao, Yu-Kuan YR 2020 K1 Quantization (signal) K1 Neural networks K1 Random access memory K1 Bandwidth K1 Hardware K1 Artificial intelligence K1 Kernel K1 AI accelerator K1 CNN K1 Hardware architecture SP 193 OP 194 LK http://dx.doi.org/https://doi.org/10.1109/ISOCC50952.2020.9333025 DO https://doi.org/10.1109/ISOCC50952.2020.9333025 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)