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
Empirical Evaluation of ML Models for Per-Job Power Predict..:
, In:
Companion of the 15th ACM/SPEC International Conference on Performance Engineering
,
Halder, Debajyoti
;
Acharya, Manas
;
Malsane, Aniket
.. - p. 181-188 , 2024
Link:
https://dl.acm.org/doi/10.1145/3629527.3651418
RT T1
Companion of the 15th ACM/SPEC International Conference on Performance Engineering
: T1
Empirical Evaluation of ML Models for Per-Job Power Prediction
UL https://suche.suub.uni-bremen.de/peid=acm-3651418&Exemplar=1&LAN=DE A1 Halder, Debajyoti A1 Acharya, Manas A1 Malsane, Aniket A1 Gandhi, Anshul A1 Zadok, Erez PB ACM YR 2024 K1 co-executed workloads. K1 ml models K1 per-job power prediction K1 sustainability K1 Hardware K1 Power and energy K1 Power estimation and optimization K1 Enterprise level and data centers power issues SP 181 OP 188 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3629527.3651418 DO https://dl.acm.org/doi/10.1145/3629527.3651418 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)