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A Genetic Algorithm for Scheduling Tasks onto Dynamically Reconfigurable Hardware

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3 Author(s)
Yang Qu ; Tech. Res. Centre of Finland, Oulu ; Soininen, J.-P. ; Nurmi, J.

In this paper, a genetic algorithm (GA) for scheduling tasks onto dynamically reconfigurable devices is presented. The scheduling problem is NP-hard and more complicated than multiprocessor scheduling, because both the task allocation and the configurations need to be carefully managed. The approach has been validated with a number of random task graphs. The results show that the GA approach has good convergence and it is in average 8.6% better than a list-based scheduler for large task graphs of various sizes.

Published in:

Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on

Date of Conference:

27-30 May 2007