By Topic

Accelerating embedded applications using dynamically reconfigurable hardware and evolutionary algorithms

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

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

Published in:

Field-Programmable Custom Computing Machines, 2000 IEEE Symposium on

Date of Conference:

2000