Title :
Synthetic aperture radar imaging on a CUDA-enabled mobile platform
Author :
Fatica, Massimiliano ; Phillips, Everett
Author_Institution :
NVIDIA Corp., Santa Clara, CA, USA
Abstract :
This paper presents the details of a Synthetic Aperture Radar (SAR) imaging on the smallest CUDA-capable platform available, the Jetson TK1. The results indicate that GPU accelerated embedded platforms have considerable potential for this type of workload and in conjunction with low power consumption, light weight and standard programming tools, could open new horizons in the embedded space.
Keywords :
graphics processing units; mobile computing; parallel programming; radar imaging; synthetic aperture radar; CUDA-enabled mobile platform; GPU accelerated embedded platform; Jetson TK1 platform; SAR imaging; compute unified device architecture; graphics processing unit; synthetic aperture radar imaging; Arrays; Graphics processing units; Instruction sets; Libraries; MATLAB; Radar polarimetry; Synthetic aperture radar;
Conference_Titel :
High Performance Extreme Computing Conference (HPEC), 2014 IEEE
Conference_Location :
Waltham, MA
Print_ISBN :
978-1-4799-6232-7
DOI :
10.1109/HPEC.2014.7040960
