I've been trying to get it frontpaged because, despite it's length, it's perhaps one of the most startling papers of this decade. Sadly, it seems like the HN voting gestalt hasn't decided to upvote a paper that's the CS equivalent of breaking the speed of light: "Generic Top-down Discrimination for Sorting and Partitioning in Linear Time" -> http://www.diku.dk/hjemmesider/ansatte/henglein/papers/hengl... (if you're d…
The methodology isn't _really_ new, but it isn't used frequently. While they showed it as competitive to commonly used sorting algorithms, situationally it can really shine and show significant performance benefits. I'm surprised they didn't show this in one of the graphs (or I missed it in my brief speed-thru).
I don't really see a future for this in standard libraries. I can totally see this methodology being used in the wild in a variety of systems where time = money or entities are looking for a small proprietary distinguishing edge.