👉 Parallel computing, or more specifically, parallel computing in the context of "paradigm computing," refers to a computational model where multiple processors or computing nodes work simultaneously on different parts of a problem or task, rather than sequentially as in traditional single-processor systems. This approach leverages the power of distributed computing resources to enhance performance, efficiency, and scalability. By dividing tasks among multiple processors, parallel computing can significantly reduce computation time, handle larger datasets, and manage complex computations more effectively. It is widely used in fields like scientific research, data analytics, machine learning, and big data processing to solve problems that would be impractical or impossible for a single processor to handle within a reasonable timeframe.
