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
Work-in-Progress: MLGOPerf: An ML Guided Inliner to Optimiz..:
, In:
2022 International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES)
,
Ashouri, Amir H.
;
Elhoushi, Mostafa
;
Hua, Yuzhe
... - p. 3-4 , 2022
Link:
https://doi.org/10.1109/CASES55004.2022.00008
RT T1 <cTitle>2022 International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES)</cTitle>: T1 <Title>Work-in-Progress: MLGOPerf: An ML Guided Inliner to Optimize Performance</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9933151&Exemplar=1&LAN=DE A1 Ashouri, Amir H. A1 Elhoushi, Mostafa A1 Hua, Yuzhe A1 Wang, Xiang A1 Manzoor, Muhammad Asif A1 Chan, Bryan A1 Gao, Yaoqing YR 2022 SN 2643-1726 K1 Training K1 Analytical models K1 Embedded systems K1 Computer aided software engineering K1 Codes K1 Reinforcement learning K1 Predictive models K1 compilers K1 reinforcement learning K1 machine learning K1 autotuning K1 inlining SP 3 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/CASES55004.2022.00008 DO https://doi.org/10.1109/CASES55004.2022.00008 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
