Home /Research /NeuFlow: Dataflow vision processing system-on-a-chip
LEARNING

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

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

Year
2012
Citations
86

Abstract

Abstract—This paper presents a bio-inspired vision systemon-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. Postlayout characterization shows that the system delivers up to 320 GOPS with an average power consumption of 0.6 W. The powerefficiency and portability of this system is ideal for embedded vision-based devices, such as driver assistance, and robotic vision. I.

Keywords

Software portabilityComputer scienceDataflowMachine visionIBMSystem on a chipEmbedded systemChipProcess (computing)Computer hardware

Related papers

Browse all LEARNING papers