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
JNPU: A 1.04TFLOPS Joint-DNN Training Processor with Specul..:
, In:
ESSCIRC 2023- IEEE 49th European Solid State Circuits Conference (ESSCIRC)
,
Yang, Je
;
Lim, Sukbin
;
Lee, Sukjin
.. - p. 349-352 , 2023
Link:
https://doi.org/10.1109/ESSCIRC59616.2023.10268810
RT T1 <cTitle>ESSCIRC 2023- IEEE 49th European Solid State Circuits Conference (ESSCIRC)</cTitle>: T1 <Title>JNPU: A 1.04TFLOPS Joint-DNN Training Processor with Speculative Cyclic Quantization and Triple Heterogeneity on Microarchitecture / Precision / Dataflow</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10268810&Exemplar=1&LAN=DE A1 Yang, Je A1 Lim, Sukbin A1 Lee, Sukjin A1 Kim, Jae-Young A1 Kim, Joo-Young YR 2023 SN 2643-1319 K1 Training K1 Quantization (signal) K1 Microarchitecture K1 Metaverse K1 Neural networks K1 Memory management K1 Energy efficiency K1 Deep neural network (DNN) training processor K1 Multiple DNN acceleration K1 Dataflow K1 Quantization SP 349 OP 352 LK http://dx.doi.org/https://doi.org/10.1109/ESSCIRC59616.2023.10268810 DO https://doi.org/10.1109/ESSCIRC59616.2023.10268810 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
