Speeding Up Merge Sort with CUDA: A Parallel Computing Adventure

Building on a previous post about sorting algorithms, this article explores performance improvements using CUDA for parallel computing. The author implements merge sort, initially using a recursive top-down approach. However, this proves inefficient in CUDA. Switching to an iterative bottom-up merge sort and parallelizing the merge operations yields significant performance gains. Benchmarking shows the CUDA iterative approach is competitive with, and sometimes outperforms, standard CPU sorting for larger arrays.