Accelerating Embedded Applications using Dynamically Reconfigurable Hardware and Evolutionary Algorithms

J. Harkin; T.M McGinnity; L.P Maguire

doi:10.1109/FPGA.2000.903436

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Field-Programmable Custom Computing Machines, Annual IEEE Symposium on

Accelerating Embedded Applications using Dynamically Reconfigurable Hardware and Evolutionary Algorithms

Year: 2000, Pages: 321

DOI Bookmark: 10.1109/FPGA.2000.903436

Authors

J. Harkin, University of Ulster
T.M McGinnity, University of Ulster
L.P Maguire, University of Ulster

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.

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