👉 Heterogeneous computing is an approach that leverages multiple types of processors, such as CPUs (Central Processing Units), GPUs (Graphics Processing Units), and FPGAs (Field-Programmable Gate Arrays), to optimize computational tasks for specific applications. This method capitalizes on the unique strengths of each processor type: CPUs excel at general-purpose tasks and complex logic, GPUs are highly efficient for parallel processing and graphics-intensive computations, and FPGAs offer customizable hardware acceleration. By distributing workloads across these diverse processors, heterogeneous computing can significantly enhance performance, reduce energy consumption, and improve efficiency in handling complex, data-intensive tasks like machine learning, scientific simulations, and real-time data processing.
