Heterogeneous systems refer to computing systems that are composed of different types of processors, memory units, and other hardware components. These systems typically consist of a combination of CPUs, GPUs, DSPs, and other specialized processors, each optimized for specific tasks or workloads. Research in heterogeneous systems focuses on optimizing the performance, power consumption, and resource utilization of such systems. This includes developing efficient algorithms and software frameworks that can effectively exploit the strengths of different hardware components, as well as investigating techniques for managing communication and data transfer between the various processing elements. Overall, research in heterogeneous systems aims to enable more efficient and powerful computing platforms that can handle a wide range of workloads, from general-purpose computing tasks to specialized applications such as machine learning and computational simulations.