The new generation of embedded systems for automotive applications can take advantage of low-cost multiprocessor system-on a chip architectures. The real-time software applications running on these systems require real-time processor scheduling, and also require the management of the communication and synchronization of tasks executing on different processors with limited blocking time. Conventional real-time technologies, like the Rate Monotonic scheduling algorithm together with the Multiprocessor Priority Ceiling Protocol (MPCP) can be used to this purpose. In earlier work, we proposed the Multiprocessor Stack Resource Policy (MSRP) for scheduling tasks and sharing resources in multiprocessor on a chip architectures. In this paper we present an experimental evaluation that compares the performance of our algorithm with a solution based on Rate Monotonic and MPCP in the context of the Janus multiple processor architecture. The evaluation of the algorithm has been triggered by our ongoing research in the automotive domain. We report on two sets of experiments: the first addresses a range of generic task configurations to see if one of the algorithms can clearly outperform the other. The results show MSRP to be better for random task periods but are probably not conclusive. Later, we focus on a more application-specific (also more restrictive) architecture design representing a typical automotive application: a power-train controller. In this case, MSRP clearly performs better. The performance gap between the two policies can be further increased when considering that MSRP is much simpler to implement, it has a lower overhead, and it allows RAM memory optimization.