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http://repositorio.inesctec.pt/handle/123456789/5567
Title: | A framework for hardware cellular genetic algorithms: An application to spectrum allocation in cognitive radio |
Authors: | Dos Santos,PV José Carlos Alves João Canas Ferreira |
Issue Date: | 2013 |
Abstract: | The genetic algorithm (GA) is an optimization metaheuristic that relies on the evolution of a set of solutions (population) according to genetically inspired transformations. In the variant of this technique called cellular GA, the evolution is done separately for subgroups of solutions. This paper describes a hardware framework capable of efficiently supporting custom accelerators for this metaheuristic. This approach builds a regular array of problem-specific processing elements (PEs), which perform the genetic evolution, connected to shared memories holding the local subpopulations. To assist the design of the custom PEs, a methodology based on highlevel synthesis from C++ descriptions is used. The proposed architecture was applied to a spectrum allocation problem in cognitive radio networks. For an array of 5×5 PEs in a Virtex-6 FPGA, the results show a minimum speedup of 22× compared to a software version running on a PC and a speedup near 2000× over a MicroBlaze soft processor. © 2013 IEEE. |
URI: | http://repositorio.inesctec.pt/handle/123456789/5567 http://dx.doi.org/10.1109/fpl.2013.6645599 |
metadata.dc.type: | conferenceObject Publication |
Appears in Collections: | CRAS - Articles in International Conferences CTM - Articles in International Conferences |
Files in This Item:
File | Description | Size | Format | |
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P-009-CAQ.pdf | 122.56 kB | Adobe PDF | ![]() View/Open |
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