Accelerating Embedded Applications using Dynamically Reconfigurable Hardware and Evolutionary Algorithms

Authors:
J. Harkin;T. M McGinnity;L. P Maguire
Affiliations:
-;-;-
Venue:
FCCM '00 Proceedings of the 2000 IEEE Symposium on Field-Programmable Custom Computing Machines
Year:
2000

Citing 3
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Abstract

In this paper, the authors propose an Evolutionary Algorithm (EA) approach to hardware-software partitioning and performance estimation of dynamically reconfigurable embedded systems. A demonstrative application is used to show the effectiveness of the use of GAs to achieve hardware-software partitions with maximum speedup.