👉 Multiple computing, also known as distributed computing or parallel computing, refers to the simultaneous execution of multiple computational tasks across various computing resources, such as different machines, processors, or even different parts of the same machine. This approach leverages the collective power of these resources to solve complex problems more efficiently and effectively than a single machine could. By dividing tasks into smaller, manageable parts that can be processed concurrently, multiple computing reduces overall processing time, increases throughput, and enhances scalability. It's particularly useful for tasks like data analysis, simulations, and large-scale computations where the workload can be broken down into independent or loosely coupled subtasks.
