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Accelerating embedded applications using dynamically reconfigurable hardware and evolutionary algorithms

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3 Author(s)
J. Harkin ; Fac. of Eng., Ulster Univ., Derry, UK ; T. M. McGinnity ; L. P. Maguire

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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Field-Programmable Custom Computing Machines, 2000 IEEE Symposium on

Date of Conference: