👉 Coupled computing refers to the collaborative use of multiple computing resources, such as CPUs, GPUs, or specialized hardware like FPGAs, to solve complex computational problems more efficiently than a single resource could manage alone. By distributing tasks across these interconnected resources, coupled computing can significantly enhance performance, reduce execution time, and improve energy efficiency. This approach is particularly beneficial for tasks that require substantial computational power or large data processing, such as machine learning, scientific simulations, and big data analytics. The coordination between these resources is typically managed by a system that optimizes task allocation and resource utilization, ensuring optimal performance and resource efficiency.
