Fast ARFTIS reconstruction algorithms using CUDA

Authors:
Deqi Cui;Ningfang Liao;Wenmin Wu;Boneng Tan;Yu Lin
Affiliations:
Department of Optical and Electronical Engineering, Beijing Institute of Technology, Beijing, China;Department of Optical and Electronical Engineering, Beijing Institute of Technology, Beijing, China;Department of Optical and Electronical Engineering, Beijing Institute of Technology, Beijing, China;Department of Optical and Electronical Engineering, Beijing Institute of Technology, Beijing, China;Department of Optical and Electronical Engineering, Beijing Institute of Technology, Beijing, China
Venue:
HPCA'09 Proceedings of the Second international conference on High Performance Computing and Applications
Year:
2009

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Abstract

In order to realize the fast reconstruction processing of all-reflective Fourier Transform Imaging Spectrometer (ARFTIS) data, the authors implement reconstruction algorithms on GPU using Compute Unified Device Architecture (CUDA). We use both CUDA 1DFFT library and customization CUDA parallel kernel to accelerate the spectrum reconstruction processing of ARFTIS. The results show that the CUDA can drive hundreds of processing elements (‘manycore’ processors) of GPU hardware and can enhance the efficiency of spectrum reconstruction processing significantly. Farther, computer with CUDA graphic cards will implement real-time data reconstruction of ARFTIS alone.