@InProceedings{AlmeidaPedrNico:2016:GePrHy,
               author = "Almeida, Manoel Aranda de and Pedrino, Emerson Carlos and 
                         Nicoletti, Maria do Carmo",
          affiliation = "Computer Science Dept. UFSCar S. Carlos, SP – Brazil and Computer 
                         Science Dept. UFSCar S. Carlos, SP – Brazil and Computer Science 
                         Dept. UFSCar S. Carlos, SP – Brazil",
                title = "A Genetically Programmable Hybrid Virtual Reconfigurable 
                         Architecture for Image Filtering Applications",
            booktitle = "Proceedings...",
                 year = "2016",
               editor = "Aliaga, Daniel G. and Davis, Larry S. and Farias, Ricardo C. and 
                         Fernandes, Leandro A. F. and Gibson, Stuart J. and Giraldi, Gilson 
                         A. and Gois, Jo{\~a}o Paulo and Maciel, Anderson and Menotti, 
                         David and Miranda, Paulo A. V. and Musse, Soraia and Namikawa, 
                         Laercio and Pamplona, Mauricio and Papa, Jo{\~a}o Paulo and 
                         Santos, Jefersson dos and Schwartz, William Robson and Thomaz, 
                         Carlos E.",
         organization = "Conference on Graphics, Patterns and Images, 29. (SIBGRAPI)",
            publisher = "IEEE Computer Society´s Conference Publishing Services",
              address = "Los Alamitos",
             keywords = "genetic programming, filtering images, hybrid reconfigurable 
                         architecture.",
             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.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
                  doi = "10.1109/SIBGRAPI.2016.029",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2016.029",
             language = "pt",
                  ibi = "8JMKD3MGPAW/3M5J4B8",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3M5J4B8",
           targetfile = "PID4356701.pdf",
        urlaccessdate = "2024, May 03"
}