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A Genetically Programmable Hybrid Virtual Reconfigurable Architecture for Image Filtering Applications

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Author(s):
Almeida, M. A. ; Pedrino, E. C. ; Nicoletti, M. C. ; IEEE
Total Authors: 4
Document type: Journal article
Source: 2016 29TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI); v. N/A, p. 6-pg., 2016-01-01.
Abstract

A new and efficient automatic hybrid method, called Hy-EH, based on Virtual Reconfigurable Architectures (VRAs) and implemented in Field Programmable Gate Arrays (FPGAs) is proposed, for a hardware-embedded construction of image filters. The method also encompass an evolutionary software system, which represents the chromosome as a bi-dimensional grid of function elements (FEs), entirely parameterized using the Verilog-HDL (Verilog Hardware Description Language), which is reconfigured using the MATLAB toolbox GPLAB, before its download into the FPGA. In the so-called intrinsic proposals, evolutionary processes take place internally to the hardware, in a pre-defined fixed way; in extrinsic proposals evolutionary processes happen externally to the hardware. The hybrid Hy-EH method, described in this paper allows for the intrinsic creation of a flexible-sized hardware, in an extrinsic way i.e., by means of an evolutionary process that happens externally to the hardware. Hy-EH is also a convenient choice as far as extrinsic methods are considered, since it does not depend on a proprietary solution for its implementation. A comparative analysis of using the Hy-EH versus an existing intrinsic proposal, in two well-known problems, has been conducted. Results show that by using Hy-EH there was little hardware complexity due to the optimized and more flexible use of shorter chromosomes. (AU)

FAPESP's process: 15/23297-4 - System for automatic hardware generation in FPGAs by Cartesian Genetic Programming
Grantee:Emerson Carlos Pedrino
Support Opportunities: Regular Research Grants