Software-controlled scratchpad memory is increasingly employed in embedded systems as it offers better timing predictability compared to caches. Previous scratchpad allocation algorithms typically consider single process applications. But embedded applications are mostly multi-tasking with real-time constraints, where the scratchpad memory space has to be shared among interacting processes that may preempt each other. In this paper, we develop a novel dynamic scratchpad allocation technique that takes these process interferences into account to improve the performance and predictability of the memory system. We model the application as a Message Sequence Chart (MSC) to best capture the interprocess interactions. Our goal is to optimize the worst-case response time (WCRT) of the application through runtime reloading of the scratchpad memory content at appropriate execution points. We propose an iterative allocation algorithm that consists of two critical steps: (1) analyze the MSC alon...