The macro-scale pseudo-particle model(MaPPM)is an effective method used in high resolution simulation of particle-fluid systems

which can be implemented with an algorithm similar to molecular dynamics (MD) simulation.However

the wide application of MaPPM is only possible with the advent of high-performance parallel computers.The great size gap between solid particle and pseudo-particle makes MaPPM different from MD simulations during the parallelization process

which is the specialty and difficulty in this paper.The domain decomposition method is used in the parallel algorithm because of the great number of pseudo-particles in particle-fluid systems. The algorithm is also improved according to the specialty in MaPPM to reduce computation cost. The computation is conducted on COW (cluster of workstations) with different system sizes and various numbers of processors to test its performance. Computation results indicate that the new algorithm has high parallel efficiency and good scalability. The parallel implementation will help to make use of MaPPM in large-scale simulations of two-phase flow.