Recent research in deep learning has reached a state-of-art accuracy in various domains, including image classification, voice recognition, natural language processing, music generation, drug discovery, and genomics. In the diagnoses of lung diseases, the structure of the airway is critical for doctors to recognize abnormal sites such as cancer or tumors. The process of 3D airway reconstruction can work as feature extraction to help the recognition of benign tumors. While both the reconstruction and the deep learning requires a large computational resource and memory usage, these tasks are also time-consuming. With the advent of ever-improving GPUs, parallel programing can largely enhance the performance of lung cancer detection.