The demand for higher temporal and spatial resolution of atmospheric detection has brought about rapid increase of atmospheric hyperspectral remote sensing data;however,traditional methods have low efficiency for hyperspectral data processing.Here,we summarize the application examples of using GPU to accelerate the processing of hyperspectral remote sensing data,among which we focus on the parallel computing of the Fourier analysis of hyperspectral data based on the CPU-GPU heterogeneous mode.Then the CPU-GPU heterogeneous mode based parallel computing is implemented and then compared with traditional CPU-based computing.The results show that the data processing speed is increased by about 90 times while ensuring the data accuracy as well,thus verify the effectiveness of GPU to accelerate the processing of atmospheric remote sensing hyperspectral data.