👉 Parallel computing is a method of processing data that involves dividing tasks into smaller, independent sub-tasks which can be executed simultaneously across multiple processors or computing nodes. This approach significantly enhances computational efficiency and speed by leveraging the combined power of multiple resources, rather than relying on a single processor to handle all tasks sequentially. Parallel computing is particularly useful for complex, data-intensive applications such as scientific simulations, large-scale data analysis, and machine learning tasks. By distributing the workload, parallel computing can reduce processing time, improve scalability, and enable the handling of larger datasets than would be feasible with traditional serial computing methods.
