Template-oriented hardware design based on shape analysis of 2D CNN operators in CNN template libraries and applications

Author

García, Natalia A Fernández ; Suárez, M. ; Brea, V.M. ; Cabello, D.

Author_Institution

Dept. of Electron. & Comput. Sci., Univ. of Santiago de Compostela, Santiago de Compostela

fYear

2008

fDate

14-16 July 2008

Firstpage

63

Lastpage

68

Abstract

This work aims at finding efficient configurations of coefficient circuits in a CNN hardware cell implementation based on the shape of the templates listed in the Cellular Wave Computing Library (CSW) and some applications/algorithms addressed in the CNN literature. The paper also touches briefly on possible hardware approaches to take advantage of the shape and symmetries of the templates.

Keywords

cellular neural nets; logic design; neural chips; 2D CNN operator shape analysis; CNN hardware circuit cell implementation; CNN template library; cellular wave computing library; template-oriented hardware design; Application software; Cellular neural networks; Circuits; Computer science; Image processing; Image resolution; Libraries; Neural network hardware; Shape; Statistics;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CNNA.2008.4588651

Filename

4588651