When a large number of samples are being scheduled to run in dozens of computers, it is low in efficiency and easy to make mistakes for manual operation. Thus, an automatic tool for deploying and scheduling tasks can improve the analytic simulation’s execution efficiency. The Monte Carlo simulation and the Particle Swarm Optimization algorithm simulation are two kinds of classical analytic simulations. This research introduces the rationales and key techniques for the multi-sample scheduling tool based on both simulations, which can be generally and widely used in resolving varieties of problems about the automatically deploying and scheduling of simulation tasks.