Final answer:
True, merge sort can be implemented efficiently using parallel processing.
Step-by-step explanation:
True, a merge sort can be implemented efficiently using parallel processing. Merge sort is a divide and conquer algorithm that can be parallelized by dividing the input array into smaller subarrays and sorting them simultaneously using multiple processors or threads. The sorted subarrays can then be merged in parallel to obtain the final sorted array.
For example, suppose we have an array of 8 elements to be sorted using merge sort. We can divide it into two subarrays of 4 elements each. Each subarray can be sorted in parallel using separate processors or threads. Once the subarrays are sorted, they can be merged together in parallel to obtain the final sorted array.
Overall, parallel processing can significantly speed up the execution time of a merge sort algorithm by utilizing the power of multiple processors or threads for sorting and merging operations.