A new architecture for Cellular Neural Network on reconfigurable hardware with an advance memory allocation method

Mehmet Tukel*, Mustak Erhan Yalcin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

In this study a discretized version of Cellular Neural Network (CNN) was implemented with an Hardware Description Language using forward Euler approximation. When the designs in literature were reviewed, it was seen that registers of the designs significantly affect occupied chip area. The introduced design is focused on reducing chip area by reducing register occupation while not causing design complexity or lack in processing speed. Block Random Access Memories (Block- RAMs) in Field Programmable Gate Arrays (FPGA) were used instead of register arrays, which were designed to handle the relationship of the neighborhood and input-output communication in previous designs. The proposed design does not require additional memory to store input image and states of the CNN. Storing, reading and updating image, also providing neighbor relations of image were done with the proposed method which includes an advance memory allocation, image partitioning and supplementary blocks for the relationship of the neighborhood. In order to reduce the chip area of Cellular Processors, cellular control was simplified. Cellular Processors which have similar arithmetic units with previous designs occupy less combinatorial part and significantly less registers. The advantage of this design is presented by comparing the proposed designs in literature.

Original languageEnglish
Title of host publication2010 12th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2010
PublisherIEEE Computer Society
ISBN (Print)9781424466795
DOIs
Publication statusPublished - 2010
Event2010 12th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2010 - Berkeley, CA, United States
Duration: 3 Feb 20105 Feb 2010

Publication series

Name2010 12th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2010

Conference

Conference2010 12th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2010
Country/TerritoryUnited States
CityBerkeley, CA
Period3/02/105/02/10

Keywords

  • Digital Cellular Neural Network
  • Image processing
  • Image processing hardware
  • Parallel processing

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