adix VS RAMCloud

Note: Just concatenating the bibles keeps your hash map artificially small...which matters because as you correctly note the big deal is if you can fit the histogram in the L2 cache as noted elsewhere and this really matters if you go parallel where N CPUsL2 caches can speed things up a lot -- until* your histograms blow out CPU-private L2 cache sizes. https://github.com/c-blake/adix/blob/master/tests/wf.nim (or a port to your favorite lang) might make it easy to play with these ideas.

which is notably logarithmic - not unlike a B-Tree.

When these expectations are exceeded you can at least detect a DoS attack. If you wait until such are seen, you can activate a "more random" mitigation on the fly at about the same cost as "the next resize/re-org/whatnot".

All you need to do is instrument your search to track the depth. There is some example such strategy in Nim at https://github.com/c-blake/adix for simple Robin-Hood Linear Probed tables.

Knuth-McIlroy comes up a lot. Previous discussion [1]. For this example I can make a Nim program run almost exactly the same speed as `wc -w`, yet the optimized C program runs 1.2x faster not 3.34x slower - a whopping 4x discrepancy - much bigger than many of the ratios in the table. So, people should be very cautious about conclusions from any of this.

[1] https://news.ycombinator.com/item?id=24817594

[2] https://github.com/c-blake/adix/blob/master/tests/wf.nim

On a related note, John Ousterhout (in the RAMCloud project) was basically betting that the latency of accessing RAM on another computer on a fast local network will eventually become competitive to local RAM access.

https://ramcloud.atlassian.net/wiki/spaces/RAM/overview