SOM on multi-FPGA ISA board-hardware aspects

D. Suzuki, O. Hammami

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

Abstract

This paper describes the hardware design of a multi-FPGA hardware implementation of a 16 neurons Self-Organizing Map (SOM) artificial neural network. The SOM designed includes 16 neurons controlled in a SIMD execution mode. The application targeted is 3D to 2D projection. The clock frequency of the hardware design is 11.386 MHz and it has been implemented on 5 Xilinx FPGA chips mounted on a plug-an-play PC ISA board. The resulting hardware outperforms under some conditions several software simulations implementations running on various PC hardware.

Original languageEnglish
Title of host publicationProceedings of ICECS 1999 - 6th IEEE International Conference on Electronics, Circuits and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1401-1405
Number of pages5
ISBN (Electronic)0780356829
DOIs
Publication statusPublished - 1 Jan 1999
Externally publishedYes
Event6th IEEE International Conference on Electronics, Circuits and Systems, ICECS 1999 - Pafos, Cyprus
Duration: 5 Sept 19998 Sept 1999

Publication series

NameProceedings of the IEEE International Conference on Electronics, Circuits, and Systems
Volume3

Conference

Conference6th IEEE International Conference on Electronics, Circuits and Systems, ICECS 1999
Country/TerritoryCyprus
CityPafos
Period5/09/998/09/99

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