Energy-Aware Task Partitioning on Heterogeneous Multiprocessor Platforms

Efficient task partitioning plays a crucial role in achieving high performance at multiprocessor plat forms. This paper addresses the problem of energy-aware static partitioning of periodic real-time tasks on heterogeneous multiprocessor platforms. A Particle Swarm Optimization variant based on Min-...

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Veröffentlicht in:	arXiv.org 2012-06
Hauptverfasser:	Elsayed Saad, Awadalla, Medhat, Shalan, Mohamed, Elewi, Abdullah
Format:	Artikel
Sprache:	eng
Schlagworte:	Energy conservation Energy consumption Energy management Multiprocessing Particle swarm optimization Partitioning Platforms
Online-Zugang:	Volltext
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