Time-multiplexing CNN simulator
Chi-Chien Lee; Pineda de Gyvez, J.
Circuits and Systems, 1994. ISCAS apos;94., 1994 IEEE International Symposium on
Volume 6, Issue , 30 May-2 Jun 1994 Page(s):407 - 410 vol.6
Digital Object Identifier   10.1109/ISCAS.1994.409612
Summary:A novel approach to simulate Cellular Neural Networks (CNN) is presented in this paper. The approach, time-multiplexing simulation, is prompted by the need to simulate hardware models and test hardware implementations of CNN. For practical size applications, due to hardware limitations, it is impossible to have a one-on-one mapping between the CNN hardware processors and all the pixels of the image. This simulator provides a solution by processing the input image block by block, with the number of pixels in a block being the same as the number of CNN processors in the hardware. The algorithm for implementing this simulator is also presented, along with some simulation results and comparisons

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