Title :
Parallel implementation for SAM algorithm based on GPU and distributed computing
Author :
Qu, Haicheng ; Zhang, Junping ; Chen, Yushi ; Chen, Hao ; Lin, Zhouhan
Author_Institution :
Dept. of Inf. Eng., Harbin Inst. of Technol., Harbin, China
Abstract :
Advances in sensor and computer technology are revolutionizing the way that remote sensing data with hundreds or even thousands of channels for the same area on the surface of the earth is collected, managed and analyzed. In this paper, the classical Spectral Angle Mapper (SAM) algorithm, which is fit for parallel and distributed computing, is implemented by using Graphic Processing Units (GPU) and distributed cluster respectively to accelerate the computations. A quantitative performance comparison between Compute Unified Device Architecture (CUDA) and Matlab platform is given by analyzing result of different parallel architectures´ implementation of the same SAM algorithm.
Keywords :
geophysical image processing; graphics processing units; parallel architectures; remote sensing; CUDA; Earth surface; GPU; Matlab platform; SAM algorithm; compute unified device architecture; computer technology; distributed cluster; distributed computing; graphic processing unit; parallel architecture; parallel computing; remote sensing data; sensor technology; spectral angle mapper; Acceleration; Algorithm design and analysis; Clustering algorithms; Graphics processing units; Hyperspectral imaging; MATLAB; GPU; SAM; distributed computing; high-performance computing;
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.2012.6350514
