Abstract: Applied Research, Chinese Academy of Sciences, Beijing 100190)
The three-dimensional numerical Magnetohydrodynamics (MHD) simulation is one of the methods to study the corona and solar wind. Comparison of the Polarization Brightness (PB) in the low corona between simulation results and observation is important to validate the MHD models. Because of the massive data and the complexity of the PB model, the computation will take too much time on single CPU (or core), and can not visualize the PB in nearly real time, so that it affects the validation efficiency of numerical modeling. A new parallelized model based on CPU/GPU with Compute Unified Device Architecture (CUDA) to convert MHD simulation density to PB is presented in this paper. Aiming at the most time-consuming part of the serial PB model, it modifies the model from serial process to parallel process based on CUDA to improve its computation efficiency. It shows that the new model can speed up 31.86 times than the serial model based on CPU, and is able to compare the simulation with observation in nearly real time.