EMPRESS: an efficient and effective method for PREdictable stack sharing

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Metadaten
Author:Sebastian AltmeyerGND, Reinder J. Bril, Paolo Gai
URN:urn:nbn:de:bvb:384-opus4-697053
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/69705
ISBN:9781538677599OPAC
Parent Title (English):2018 IEEE 24th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), 28-31 August 2018, Hakodate, Japan
Publisher:IEEE
Place of publication:Piscataway, NJ
Editor:Rodolfo Pellizzoni, Insik Shin, Kaori Fujinami
Type:Part of a Book
Language:English
Year of first Publication:2018
Publishing Institution:Universität Augsburg
Release Date:2020/02/04
First Page:92
Last Page:100
DOI:https://doi.org/10.1109/rtcsa.2018.00020
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Systemnahe Informatik und Kommunikationssysteme
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Embedded Systems
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht