👉 Par computing, or parallel computing, is a computational strategy that involves dividing a large problem into smaller, more manageable sub-problems that can be solved simultaneously across multiple processing units or cores. This approach significantly accelerates computation by leveraging the power of multiple processors, allowing tasks to be executed in parallel rather than sequentially. By distributing the workload, par computing can drastically reduce execution time for complex computations, making it particularly effective in fields such as scientific research, data analysis, and artificial intelligence where tasks can be naturally decomposed into independent subtasks. This method not only enhances efficiency but also enables the handling of larger datasets and more intricate models than would be feasible with traditional serial computing.
