Abstract: In the realtime remote sensing of gas based on inteferogram imaging, fast inversion processing of original data is required.But the data acquired in this way is a large quantity,and the inverse algorithm is also complicated while using CPU for processing is time-consuming.A parallel inversion algorithm using compute unified device architecture (CUDA) was realized by analyzing the patten of data obtained by time-space mix-modulation long-wave infrared interference spectrometer. The results show that the parallel computing technique using CUDA can enhance the efficiency of spectrum inversion by 5 to 20 times,which provides foundations for further application like spectral recognition.