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A dynamic execution time estimation model to save energy in heterogeneous multicores running periodic tasks

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A dynamic execution time estimation model to save energy in heterogeneous multicores running periodic tasks

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Sahuquillo Borrás, J.; Hassan Mohamed, H.; Petit Martí, SV.; March Cabrelles, JL.; Duato Marín, JF. (2016). A dynamic execution time estimation model to save energy in heterogeneous multicores running periodic tasks. Future Generation Computer Systems. 56:211-219. doi:10.1016/j.future.2015.06.011

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/81399

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Title: A dynamic execution time estimation model to save energy in heterogeneous multicores running periodic tasks
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny
Issued date:
Abstract:
Nowadays, real-time embedded applications have to cope with an increasing demand of functionalities, which require increasing processing capabilities. With this aim real-time systems are being implemented on top of ...[+]
Subjects: Heterogeneous multicore architectures , Time predictable multicore architectures , Time aware energy efficiency , Energy savings , Real-time embedded systems
Copyrigths: Reserva de todos los derechos
Source:
Future Generation Computer Systems. (issn: 0167-739X )
DOI: 10.1016/j.future.2015.06.011
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.future.2015.06.011
Description: this is the author’s version of a work that was accepted for publication in Future Generation Computer Systems. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Future Generation Computer Systems, vol. 56 (2016). DOI 10.1016/j.future.2015.06.011.
Thanks:
This work was supported by the Spanish Ministerio de Economia y Competitividad (MINECO) and by FEDER funds under Grant TIN2012-38341-004-01, and by the Intel Early Career Faculty Honor Program Award.
Type: Artículo

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