Cache-oblivious algorithms, introduced in Harald Prokop's MIT thesis, are why libraries like FFTW achieve near-optimal performance on any CPU without per-machine tuning, and the same recursive divide-and-conquer principle underlies the blocked matrix routines used throughout scientific computing and machine learning. Standard quicksort's cache-obliviousness, mentioned in this task, is part of why it still outperforms many theoretically 'smarter' sorts in real systems.