👉 Separated computing, also known as distributed or parallel computing, is a method of processing data where tasks are divided among multiple computing units, such as processors or cores, to execute simultaneously. This approach contrasts with traditional single-processor computing, where all tasks are handled by one central processing unit. By distributing the workload across several nodes, separated computing can significantly enhance performance and efficiency, especially for large-scale data processing tasks like simulations, machine learning, and big data analytics. Each computing unit works independently but collaboratively to solve complex problems faster than a single processor could manage alone.
