Title :
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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6350675
