This paper aims at defining an adaptive genetic algorithm tailored for the allocation of dynamically reconfigurable modules. This algorithm can be tuned at run-time with a set of parameters to best characterize different architectural scenarios (i.e., single device or multi-FPGAs characterized by several kinds of communication infrastructures) and to adapt the performance of the algorithm itself to the scenario in which it has to operate. The proposed approach has been validated with a large set of meaningful combinations of parameters (i.e. changing the mutation or the crossover probability), in order to demonstrate the possibility of performing either a fast or an accurate allocation phase.

Adaptive genetic algorithm for dynamically reconfigurable modules allocation

RANA, VINCENZO;SANTAMBROGIO, MARCO DOMENICO;SCIUTO, DONATELLA
2007-01-01

Abstract

This paper aims at defining an adaptive genetic algorithm tailored for the allocation of dynamically reconfigurable modules. This algorithm can be tuned at run-time with a set of parameters to best characterize different architectural scenarios (i.e., single device or multi-FPGAs characterized by several kinds of communication infrastructures) and to adapt the performance of the algorithm itself to the scenario in which it has to operate. The proposed approach has been validated with a large set of meaningful combinations of parameters (i.e. changing the mutation or the crossover probability), in order to demonstrate the possibility of performing either a fast or an accurate allocation phase.
PROCEEDINGS OF THE 2007 IFIP WG 10.5 INTERNATIONAL CONFERENCE ON VERY LARGE SCALE INTEGRATION
9781424417094
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/666621
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