A parallel evolutionary algorithm to optimize dynamic memory managers in embedded systems

For the last 30 years, several dynamic memory managers ( DMMs) have been proposed. Such DMMs include first fit, best fit, segregated fit and buddy systems. Since the performance, memory usage and energy consumption of each DMM differs, software engineers often face difficult choices in selecting the...

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Veröffentlicht in:	Parallel computing Jg. 36; H. 10; S. 572 - 590
Hauptverfasser:	Risco-Martín, José L., Atienza, David, Manuel Colmenar, J., Garnica, Oscar
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.10.2010
Schlagworte:	Algorithms Computation Computer programs Distributed simulation Dynamic memory management Dynamical systems Dynamics Embedded systems design Evolutionary computation Low energy Optimization State of the art Embedded systems design Dynamic memory management Distributed simulation Evolutionary computation
ISSN:	0167-8191, 1872-7336
Online-Zugang:	Volltext
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