Description: Heterogeneous system architecture refers to a design that combines different types of processors and processing units, such as CPUs and GPUs, to optimize performance and efficiency in data processing. This architecture allows each type of processor to specialize in specific tasks, leveraging their individual strengths. For example, CPUs excel at handling sequential and control tasks, while GPUs are better suited for parallel operations and graphics processing. Combining these processors in a single system allows for greater flexibility and efficiency, as tasks can be assigned to the most suitable unit based on the nature of the work to be done. Additionally, heterogeneous architecture can include other components such as FPGAs (Field Programmable Gate Arrays) and DSPs (Digital Signal Processors), further expanding the system’s capabilities. This diversity in hardware not only enhances overall performance but can also reduce energy consumption, which is crucial in a variety of computing applications, including mobile and cloud computing. In summary, heterogeneous system architecture represents a modern and efficient approach to computer system design, allowing for better utilization of available resources and a quicker response to processing demands.
