The performance of a shared memory multiprocessor system is dependent on the system software such as scheduling policy as well as hardware system. Most of existing simulators, however, do not support simulation for multi-programmed environment because they can execute only a single benchmark application at a time. We propose a multi-programmed simulation method on a program-driven simulator, which enables the concurrent executions of multiple parallel workloads contending for limited system resources. Using the proposed method, system developers can measure and analyze detailed effects of resource conflicts among the concurrent applications as well as the effects of scheduling policies on a program-driven simulator. As a result, the proposed multi-programmed simulation provides more accurate and realistic performance projection to design a multiprocessor system.