Efficient Dynamic Memory Management for Multiprocessor Cyber-Physical Systems

Dynamic data management for multiprocessor systems in the absence of an operating system (OS) is a challenging area of research. OSs are typically used to abstract developers from the process of managing dynamic data at runtime. However, due to the many different types of multiprocessor available, an OS is not always available, making the management of dynamic data a difficult task. In this article, we present a hardware and software co-design methodology for the management of dynamic data in multiprocessor system on chips (MPSoC) development environments without an OS. We compare and contrast the method of sharing dynamic data between cores with standard methods and also to static data management methods and find that the proposed methodology can improve the performance of dynamic memory operations by up to 72.94% with negligible power and resource consumption.