Parallel sorting is a technique used to sort large datasets more efficiently by dividing the workload among multiple processors or cores. Instead of sorting the data sequentially, parallel sorting breaks the dataset into smaller chunks, which are sorted simultaneously. This approach can significantly reduce the time required to sort large volumes of data. In parallel sorting, algorithms like Merge Sort or Quick Sort can be adapted to work in a parallel manner. Each processor sorts its assigned chunk, and then the sorted chunks are combined to produce the final sorted dataset. This method is particularly useful in high-performance computing environments.