👉 Parallel Computing, or PS Computing, is a method of processing data that leverages multiple processors or cores to execute tasks simultaneously, significantly enhancing computational speed and efficiency. Unlike traditional serial computing, where a single processor handles all tasks sequentially, PS Computing divides a problem into smaller, independent sub-tasks that can be processed concurrently. This parallel execution can drastically reduce the time required to solve complex problems, making it particularly valuable in fields like scientific simulations, data analytics, and machine learning. By distributing the workload across multiple processors, PS Computing not only accelerates computation but also allows for handling larger datasets and more intricate models than would be feasible with a single processor, thus enabling advancements in research and technology.
