Heterogeneous computing is a research area and architectural paradigm focused on the integration and coordinated utilization of multiple distinct types of processing elements within a single system. It investigates the principles, programming models, and runtime systems required to effectively leverage processors with diverse characteristics—such as CPUs, GPUs, FPGAs, and specialized accelerators—to optimize performance, energy efficiency, and cost for a variety of computational workloads. This approach is significant for addressing the demands of modern, diverse applications by matching tasks to hardware best suited for their execution profiles.