This project compares filtering and sorting using sequential processing, threading, and multiprocessing on 25%, 50%, 70%, and 100% of the NYC Taxi dataset to evaluate performance and scalability in ...

This project explores GPU-accelerated sorting algorithms using PyCUDA, focusing on Odd-Even Sort, Bitonic Sort, and advanced hybrid parallel merge techniques. By optimizing synchronization, memory ...