1.5GBIT/S 4.9W Hyperspectral Image Encoders on a Low-Power Parallel Heterogeneous Processing Platform

Oscar Ferraz; Vítor Silva; Gabriel Falcão

ICASSP 2020accepted0 citations

1.5GBIT/S 4.9W Hyperspectral Image Encoders on a Low-Power Parallel Heterogeneous Processing Platform

Oscar Ferraz, Vítor Silva, Gabriel Falcão

Abstract

This work explores the utilization of low-power heterogeneous devices for parallelizing the compute-intensive hyper-spectral and multispectral image compression CCSDS-123 entropy encoders. Multithread processing allows for the near-optimal system's bandwidth to be exploited increasing the system overall performance. The experimental platform consists of a low-power Jetson TX2 GPU equipped with an ARM Cortex-A57 and Denver 2 host processors, reporting more than 1552 Mb/s and, more importantly, 315 Mb/s/W, all running under a global 5 W power budget, which makes it a good candidate for onboard image compression.

BibTeX

@inproceedings{icassp2020_15gbits49whypers,
  title = {1.5GBIT/S 4.9W Hyperspectral Image Encoders on a Low-Power Parallel Heterogeneous Processing Platform},
  author = {Oscar Ferraz and Vítor Silva and Gabriel Falcão},
  booktitle = {ICASSP 2020},
  year = {2020}
}