Prediction Models for Performance, Power, and Energy Efficiency of Software Executed on Heterogeneous Hardware

Bán Dénes and Ferenc Rudolf and Siket István and Kiss Ákos and Gyimóthy Tibor: Prediction Models for Performance, Power, and Energy Efficiency of Software Executed on Heterogeneous Hardware.
Journal of Supercomputing, 2018. 25 p.-10.1007/s11227-018-2252-6. (2018)

[thumbnail of 10.1007_s11227-018-2252-6.pdf] Text
10.1007_s11227-018-2252-6.pdf - Published Version
Restricted access: Logged in users only

Download (844kB)
Creators:
Bán Dénes MTMT
Ferenc Rudolf MTMT
Siket István MTMT
Kiss Ákos MTMT
Gyimóthy Tibor MTMT
Item Type: Journal Article
Journal or Publication Title: Journal of Supercomputing
Date: 2018
Volume: 2018
Page Range: 25 p.-10.1007/s11227-018-2252-6
Publisher: Springer
Faculty/Unit: Faculty of Science and Informatics
Institution: University of Szeged (2000-)
Language: English
MTMT rekordazonosító: 3328346
DOI azonosító: https://doi.org/10.1007/s11227-018-2252-6
Date Deposited: 2019. Jan. 23. 12:18
Last Modified: 2019. Jan. 23. 12:18
URI: http://publicatio.bibl.u-szeged.hu/id/eprint/14453
Web of Science® Times Cited: 1 View citing articles in Web of Science®

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year