👉 Complimentary computing, also known as heterogeneous computing, refers to the use of multiple types of processors and computing resources in a single system to perform parallel or distributed computations. This approach leverages the strengths of different computing units, such as CPUs (Central Processing Units), GPUs (Graphics Processing Units), FPGAs (Field-Programmable Gate Arrays), and specialized accelerators, to optimize performance for specific tasks. By offloading certain computations to these diverse processors, complimentary computing aims to enhance efficiency, reduce energy consumption, and accelerate complex computations that would be impractical or inefficient on a single type of processor. This paradigm is particularly valuable in fields like artificial intelligence, scientific simulations, and data analytics, where diverse computational demands can be effectively addressed through the synergistic use of various computing resources.
