Parallel implementation of a hyperspectral unmixing chain: Graphic processing units versus multi-core processors

Author

Bernabé, Sergio ; Plaza, Antonio ; López, Sebastián ; Sarmiento, Roberto

Author_Institution

Hyperspectral Comput. Lab., Univ. of Extremadura, Caceres, Spain

fYear

2012

fDate

22-27 July 2012

Firstpage

3463

Lastpage

3466

Abstract

Spectral unmixing is an important tast for remotely sensed hyperspectral imaging. Spectral unmixing algorithms can be computationally expensive. In this paper, we develop two efficient implementations of a full hyperspectral unmixing chain on two different kinds of high performance computing architectures: graphics processing units (GPUs) and multi-core processors. These platforms are inter-compared in the context of hyperspectral unmixing. Our experimental results reveal that both GPUs and multi-core processors can provide real-time unmixing performance when properly implemented in this kind of parallel platforms.

Keywords

geophysical image processing; graphics processing units; multiprocessing systems; parallel processing; remote sensing; spectral analysis; GPU; graphic processing unit; graphics processing unit; high performance computing architecture; hyperspectral unmixing chain; multicore processor; parallel implementation; remotely sensed hyperspectral imaging; spectral unmixing algorithm; Graphics processing units; Hyperspectral imaging; Kernel; Multicore processing; Real-time systems; Vectors; GPUs; Hyperspectral imaging; high performance computing; multi-core platforms; spectral unmixing;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International

Conference_Location

Munich

ISSN

2153-6996

Print_ISBN

978-1-4673-1160-1

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2012.6350675

Filename

6350675