An Empirical Study of W-projection and W-stacking Parallel Computing Based on RASCIL

W-projection and W-stacking are classical wide field imaging methods in radio interferometry. In this paper, the parallel computing implementation of these two imaging methods is carried out. First, the basic principle of the two imaging methods is analyzed, based on which the key factors for the parallel computing implementation of the imaging methods are discussed. The parallel computing experiments are carried out based on RASCIL for these imaging methods using calibrated radio interferometry observation data. The performances of the two imaging methods parallel computing are obtained by analyzing the parallel computation time, as well as the parallel efficiency and parallel resource configuration. The results show that both imaging methods are suitable for the parallel computing configuration of Strong Scaling, while the parallel computing of W-stacking based on RASCIL has a great potential for performance improvement.