Fast ARFTIS Reconstruction Algorithms Using CUDA

摘要：

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 (many-core 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.

关键词： ARFTIS Reconstruction CUDA Parallel

作者: Deqi Cui Ningfang Liao Wenmin Wu Boneng Tan u Lin

作者单位: Department of Optical and Electronical Engineering, Beijing Institute of Technology,No.5 Zhongguancu Department of Optical and Electronical Engineering, Beijing Institute of Technology,No.5 Zhongguancu Department of Optical and Electronical Engineering, Beijing Institute of Technology,No.5 Zhongguancu Department of Optical and Electronical Engineering, Beijing Institute of Technology,No.5 Zhongguancu

会议类型: 国际会议

会议名称: The Second International Conference on High Performance Computing and Applications(第二届高性能计算及应用国际会议)

会议地点: 上海

会议语种:英文

页码: 119-126

在线出版日期: 2009-08-10（万方平台首次上网日期，不代表论文的发表时间）