@inproceedings{34d8fe614a4d4281b5e27634681329c9,
title = "Parallel implementation for SAM algorithm based on GPU and distributed computing",
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 = "distributed computing, GPU, high-performance computing, SAM",
author = "Haicheng Qu and Junping Zhang and Yushi Chen and Hao Chen and Zhouhan Lin",
year = "2012",
doi = "10.1109/IGARSS.2012.6350514",
language = "英语",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4074--4077",
booktitle = "IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium",
address = "美国",
note = "32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 ; Conference date: 22-07-2012 Through 27-07-2012",
}