NeuFlow: Dataflow vision processing system-on-a-chip

Phi Hung Pham, Darko Jelaca, Clement Farabet, Berin Martini, Yann LeCun, Eugenio Culurciello

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

Abstract

This paper presents a bio-inspired vision system-on-a-chip - neuFlow SoC implemented in the IBM 45 nm SOI process. The neuFlow SoC was designed to accelerate neural networks and other complex vision algorithms based on large numbers of convolutions and matrix-to-matrix operations. Post-layout characterization shows that the system delivers up to 320 GOPS with an average power consumption of 0.6 W. The power-efficiency and portability of this system is ideal for embedded vision-based devices, such as driver assistance, and robotic vision.

Original languageEnglish (US)
Title of host publication2012 IEEE 55th International Midwest Symposium on Circuits and Systems, MWSCAS 2012
Pages1044-1047
Number of pages4
DOIs
StatePublished - 2012
Event2012 IEEE 55th International Midwest Symposium on Circuits and Systems, MWSCAS 2012 - Boise, ID, United States
Duration: Aug 5 2012Aug 8 2012

Publication series

NameMidwest Symposium on Circuits and Systems
ISSN (Print)1548-3746

Other

Other2012 IEEE 55th International Midwest Symposium on Circuits and Systems, MWSCAS 2012
Country/TerritoryUnited States
CityBoise, ID
Period8/5/128/8/12

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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