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research article

Optimization Methodology of Dynamic Data Structures Based on Genetic Algorithms for Multimedia Embedded Systems

Baloukas, Christos
•
Risco-Martin, Jose L.
•
Atienza, David  
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2009
Elsevier Journal of Systems and Software

Modern multimedia application exhibit high resource utilization. In order to efficiently run this kind of applications in embedded systems, the dynamic memory subsystem needs to be optimized. A key role in this optimization is played by the dynamic data structures that reside in every real-life application. This paper presents a novel and automated way to optimize dynamic data structures. The search space is pruned using genetic algorithms that converge to the best multilayered data structure implementation for the targeted applications.

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Type
research article
DOI
10.1016/j.jss.2008.08.032
Web of Science ID

WOS:000265313700007

Author(s)
Baloukas, Christos
Risco-Martin, Jose L.
Atienza, David  
Poucet, Christophe
Papadopoulos, Lazaros
Mamagkakis, Stylianos
Soudris, Dimitrios
Hidalgo, Jose I.
Catthoor, Francky
Lanchares, Juan
Date Issued

2009

Published in
Elsevier Journal of Systems and Software
Volume

82

Issue

4

Start page

590

End page

602

Subjects

Data structures

•

Dynamic memory

•

Pareto-front

•

Multi-objective optimization

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
ESL  
Available on Infoscience
January 3, 2009
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/33086
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