Wave computer core using fixed-point arithmetic

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

5 Citations (Scopus)

Abstract

In this paper, success on cellular nonlinear network emulator core that generates active waves such as autowaves and traveling waves is intended. This wave computer core has 4 × 4 parallel processing units. Cellular nonlinear network in this study has 16; 384 nodes arranged in 128×128 normal grid form. The evolution algorithm of the network is executed by the hardware implemented on a Xilinx XC2VP30-FF896 FPGA chip using fixed-point arithmetic. The FPGA-based platform has an on-line monitor output in order to observe active wave evolution and a host computer in order to program the network. Using fixedpoint number format rather than floating-point number format has some advantages in the sense of speed and resource usage. The implementation in this study can be adapted to observe Doppler Effect on traveling waves and autowaves.

Original languageEnglish
Title of host publication2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1514-1517
Number of pages4
ISBN (Electronic)9781479983919
DOIs
Publication statusPublished - 27 Jul 2015
EventIEEE International Symposium on Circuits and Systems, ISCAS 2015 - Lisbon, Portugal
Duration: 24 May 201527 May 2015

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume2015-July
ISSN (Print)0271-4310

Conference

ConferenceIEEE International Symposium on Circuits and Systems, ISCAS 2015
Country/TerritoryPortugal
CityLisbon
Period24/05/1527/05/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • Cellular Neural/Nonlinear Networks (CNNs)
  • Field Programmable Gate Array (FPGA)
  • Fixed-Point Arithmetic
  • Wave Computer

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