An embedded CNN-UM global analogic programming unit implementation on FPGA

Zsolt Vörösházi, Zoltán Nagy, András Kiss, Péter Szolgay

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper the implementation of an embedded GAPU (Global Analogic Programming Unit) on the reconfigurable emulated digital CNN-UM architecture will be presented. It has been extended by a Xilinx MicroBlaze soft processor core to take full advantage of the joint computing power of high speed distributed arithmetics and programmability. The basic guidelines are presented considering the design of embedded GAPU with special regards to speed, programming flexibility and minimal additional cost in area.

Original languageEnglish
Title of host publicationProceedings of the 2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006
DOIs
Publication statusPublished - Dec 1 2006
Event2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006 - Istanbul, Turkey
Duration: Aug 28 2006Aug 30 2006

Publication series

NameProceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications

Other

Other2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006
CountryTurkey
CityIstanbul
Period8/28/068/30/06

Keywords

  • CNN-UM
  • Falcon
  • GAPU
  • MicroBlaze

ASJC Scopus subject areas

  • Software

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  • Cite this

    Vörösházi, Z., Nagy, Z., Kiss, A., & Szolgay, P. (2006). An embedded CNN-UM global analogic programming unit implementation on FPGA. In Proceedings of the 2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006 [4145892] (Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications). https://doi.org/10.1109/CNNA.2006.341652