Future systems will have to support multiple and concurrent dynamic compute-intensive applications, while respecting real-time and energy consumption constraints. Within this framework, this paper presents an architecture, named SCMP. This asymmetric multiprocessor can support dynamic migration and preemption of tasks, thanks to a concurrent control of tasks, while offering a specific data sharing solution. Its tasks are controlled by a dedicated HW-RTOS that allows online scheduling of independent real-time and nonreal-time tasks. By incorporating a connected component labeling algorithm into this platform, we have been able to measure its benefits for real-time and dynamic image processing.