The author delves into implementing sorting algorithms using CUDA for performance enhancement through parallel computing. The focus is on merge sort due to its suitability for parallel computing. The CPU implementation is compared with the GPU implementation, highlighting the challenges faced in recursion handling in CUDA. The content explores bottom-up iterative merge sort in CUDA, which significantly improves efficiency by parallelizing merge operations. The post concludes with valuable insights, future work suggestions, and references for further study. The detailed exploration of CUDA implementations and comparisons with CPU approaches provide a comprehensive understanding of the topic.
https://ashwanirathee.com/blog/2025/sort2/