College of Geo-exploration Science and Technology, Jilin University, Changchun 130026, China

The parallel algorithm based on MPI(Message Passing Interface) and OpenMP(Open Multi-Processing) is introduced to enhance the forward modelling efficiency of the gravity and gravity gradient data. Through the comparison and analysis of the effects of grid number and model number of different data scale on parallel efficiency and speed-up ratio, it is concluded that the efficiency and speed-up ratio are enhanced with the increase of data scale. Meanwhile, the performance of the parallel methods based on MPI and OpenMP is compared, and the results indicate that MPI is better than OpenMP in accelerating the forward modelling parallel algorithm with gravity and gravity gradient data, and the parallel efficiency of MPI is better than OpenMP in forward modelling algorithm with large scale data.