NERO mastering 300k CNN cells

A novel massively-parallel fine-grain architecture featuring a digital emulation of Cellular Nonlinear Networks (CNN) is presented. A virtual cellular network is processed line-by-line by a locally connected linear array of processing elements. The resulting computing system is able to execute compl...

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Bibliographic Details
Published in2013 European Conference on Circuit Theory and Design (ECCTD) pp. 1 - 4
Main Authors Braunschweig, Robert, Muller, Jens, Muller, Jan, Tetzlaff, Ronald
Format Conference Proceeding
LanguageEnglish
Published TU Dresden 01.09.2013
Subjects
Arrays
Emulation
Field programmable gate arrays
Program processors
Random access memory
Registers
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Summary:A novel massively-parallel fine-grain architecture featuring a digital emulation of Cellular Nonlinear Networks (CNN) is presented. A virtual cellular network is processed line-by-line by a locally connected linear array of processing elements. The resulting computing system is able to execute complex CNN program code consisting of consecutive operations. Furthermore we present a scalable FPGA implementation of this architecture for currently up to 480 × 640 cells with a precision up to 18 bit.
DOI:10.1109/ECCTD.2013.6662202