High performance implementation of neural networks by networks on chip with 5-port 2-virtual channels

Yiping Dong, Zhen Lin, Yan Li, Takahiro Watanabe

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

1 Citation (Scopus)

Abstract

Hardware implementation of Artificial Neural Network (ANN) is proposed by using Networks on Chip (NoC) with 5-port 2-virtual channels router, aiming at higher performance and low latency. Experimental results by NIRGAM NoC simulator show that this proposed system has higher Connection-Per-Second (CPS), higher Connection-Per-Second-Per-Weight (CPSPW), lower communication load. Furthermore this NoC implementation system is reconfigurable and expandable, so that it can be applied to various applications.

Original languageEnglish
Title of host publicationISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems
Subtitle of host publicationNano-Bio Circuit Fabrics and Systems
Pages381-384
Number of pages4
DOIs
Publication statusPublished - 2010 Aug 31
Event2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, ISCAS 2010 - Paris, France
Duration: 2010 May 302010 Jun 2

Publication series

NameISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems

Conference

Conference2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, ISCAS 2010
CountryFrance
CityParis
Period10/5/3010/6/2

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ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

Cite this

Dong, Y., Lin, Z., Li, Y., & Watanabe, T. (2010). High performance implementation of neural networks by networks on chip with 5-port 2-virtual channels. In ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems (pp. 381-384). [5537747] (ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems). https://doi.org/10.1109/ISCAS.2010.5537747