Using Genetic Algorithms to Map Hard Real-Time NoC-based Systems
A. Racu and L. S. Indrusiak
This paper investigates the effectiveness of genetic algorithms (GAs) for static task scheduling in wormhole Network-on-Chip-based systems. The overall objective was to get the application model mapped onto the architecture so that all tasks and communication meet their deadlines. Inter-task communication is accounted for by using analytical methods. The GA explores both the mapping of tasks as well as the priority ordering of the task set. A novel fitness function was developed and found to perform better than existing functions.
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BibTex Entry
@inproceedings{Racu2012,
author = {A. Racu and L. S. Indrusiak},
booktitle = {7th International Workshop on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC)},
title = {Using Genetic Algorithms to Map Hard Real-Time NoC-based Systems},
year = {2012}
}