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Using genetic algorithms to map hard real-time on NoC-based systems

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2 Author(s)
Racu, A. ; Univ. of York, York, UK ; Indrusiak, L.S.

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.

Published in:

Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC), 2012 7th International Workshop on

Date of Conference:

9-11 July 2012