Title

Dynamic Voting Schemes To Enhance Evolutionary Repair In Reconfigurable Logic Devices

Abstract

Success has been demonstrated previously in the use of Genetic Algorithms (GAs) for autonomous faulthandling in Field Programmable Gate Array (FPGA) devices, yet the completeness of a given repair can be improved. This research explores extensions to voting systems to work in parallel with imperfect GA solutions for Local Permanent Damage faults in the FPGA fabric. The benefits are evaluated by comparing performance with a GA that does not utilize voting, for triplex and 5-plex voting arrangements. Results indicate that recovery capability is significantly improved achieving complete repair by a process of synthesis from the incomplete repairs obtained by the GAs. Voting-enhanced systems are shown to increase the likelihood of finding a complete repair, with increases in speed and efficiency. The triplex and 5-plex voting schemes are able to find a complete repair after an average of 113.86 and 48.33 generations respectively in situations where standalone GAs consistently fail. © 2005 IEEE.

Publication Date

12-1-2005

Publication Title

Proceedings - ReConFig 2005: 2005 International Conference on Reconfigurable Computing and FPGAs

Volume

2005

Number of Pages

-

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/RECONFIG.2005.16

Socpus ID

33846998300 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/33846998300

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