Hardware/Software Partitioning of Combination of Clustering Algorithm and Genetic Algorithm
Author(s) -
Weijia La,
Lanying Li,
Jianda Sun,
Zhiqiang Lv,
Fei Guan
Publication year - 2014
Publication title -
international journal of control and automation
Language(s) - English
Resource type - Journals
eISSN - 2207-6387
pISSN - 2005-4297
DOI - 10.14257/ijca.2014.7.1.31
Subject(s) - computer science , cluster analysis , algorithm , software , artificial intelligence , programming language
As to the embedded system of multi-tasks, this paper proposes a hardware/software partitioning algorithm based on Clustering algorithm using reference and density and Genetic algorithm. The algorithm uses reference task to reflect attribute of system task node, and firstly finish classification of task nodes to decrease the scale of the system, and then partitions hardware/software based on genetic algorithm. The experiments results have showed that this algorithm can accelerate converge to appropriate solution of complex system with more tasks. ? 2014 SERSC.
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