Title :
A standalone FPGA based emulated-digital CNN-UM system
Author :
Vörösházi, Zsolt ; Kiss, András ; Nagy, Zoltán ; Szolgay, Péter
Author_Institution :
Dept. of Image Process. & Neurocomputing, Univ. of Pannonia, Veszprem
Abstract :
The Falcon emulated-digital CNN-UM (cellular neural/nonlinear networks universal machine) architecture has been extended by an embedded GAPU (global analogic programming unit) using the flexible Xilinx MicroBlaze soft-core processor to take full advantage of the joint computing power of high-speed distributed arithmetics and programmability. The implemented GAPU provides a stand-alone operation, which is capable of controlling complex sophisticated CNN analogic algorithms similar to various visual microprocessors, such as the ACE4k, ACE16k, and Bi-i vision systems. The quality of the embedded GAPU implementation is demonstrated by analogic algorithms, mainly in which sequences of template operations are required.
Keywords :
cellular neural nets; field programmable gate arrays; microprocessor chips; neural chips; ACE16k systems; ACE4k systems; Bi-i vision systems; Falcon emulated-digital CNN-UM architecture; cellular neural-nonlinear networks universal machine; complex sophisticated CNN analogic algorithms; flexible Xilinx MicroBlaze soft-core processor; global analogic programming unit; high-speed distributed arithmetics; standalone FPGA; visual microprocessors; Arithmetic; Cellular networks; Cellular neural networks; Computer architecture; Computer networks; Control systems; Distributed computing; Embedded computing; Field programmable gate arrays; Turing machines;
Conference_Titel :
Cellular Neural Networks and Their Applications, 2008. CNNA 2008. 11th International Workshop on
Conference_Location :
Santiago de Compostela
Print_ISBN :
978-1-4244-2089-6
Electronic_ISBN :
978-1-4244-2090-2
DOI :
10.1109/CNNA.2008.4588635
