Heterogeneous computing refers to the use of multiple types of processing units or devices in a single computer system. These processing units may vary in terms of architecture, performance capabilities, and power consumption. This approach allows for more efficient and specialized processing of different types of tasks within a single system. One common example of heterogeneous computing is the use of a combination of central processing units (CPUs) and graphics processing units (GPUs) in a system. GPUs are often used for parallel processing tasks such as graphics rendering, while CPUs are better suited for sequential tasks. By utilizing both types of processing units, tasks can be allocated to the most appropriate unit for optimal performance and efficiency. Overall, heterogeneous computing offers the potential to improve performance, energy efficiency, and overall system flexibility by leveraging the strengths of different types of processing units within a single system.