1. A method for predicting a collision probability of space objects, comprising: generating initial vectors of a space object by an initial-orbit-state generation kernel of a GPU device, wherein the initial vectors are random vectors, each being a 6-dimension vector [x, y, z, v x , v y , v z ] and corresponding to one state of a plurality of states, and the plurality of states representing an overall state of the space object, wherein, in the 6-dimension vector (x, y, z, v x , v y , v z ), (x, y, z) represents a position vector and (v x , v y , v z ) represents a velocity vector; performing an orbit propagation on the initial vectors to provide predicted vectors for the space object by an orbit propagation kernel of the GPU device; collecting the predicted vectors of the space object by a predicted-orbit-state collection kernel of the GPU device; performing a real-time visualization and rendering of the predicted vectors of the space object in a form of point cloud during interactions between central processing unit (CPU) threads and GPU kernels; and predicting, by a CPU host, a collision probability of a first space object and a second space object by calculating a distance between a vector of the first space object and a vector of the second space object, according to the interactions between the CPU threads and the GPU kernels.