Knuth Got It Wrong
davecb writes "Think you've mastered the art of server performance? Think again. Poul-Henning Kamp, in an article at ACM Queue, finds an off-by-ten error in btrees, because they fail to take virtual memory into account. And he solves the problem in the open source 'Varnish' HTTP accelerator, for all of us to see and use."
Knuth's analysis is valid in the framework of his assumptions, and what is described in the linked article has been known as "cache oblivious b-tree" for not so short time.
link
That's actually not the issue.
The issue is that in the real world, the assumptions underlying the calculation of algorithmic complexity may not hold. For instance, Knuth's analysis that the author of the article here holds to be misleading (not, as the Slashdot title suggests, "wrong") calculates the complexity based on the assumption of ideal random access memory, that is, memory for which all accesses are equal cost.
In real-world computers using caches (as pretty much all real-world computers do, often at many different levels) that assumption does not hold -- access to some parts of the memory address space are much more expensive than accesses to other parts of the address space, and which parts of the address space are expensive changes over time (and how it changes over time potentially depends on the caching strategy used at every level lower than the level at which the algorithm is implemented.)
This means that algorithms in the real world can scale worse than their theoretical "worst-case", if that theoretical worst-case scaling is based on the assumption of constant memory access cost, since that assumption does not hold in the real world.
How does one get from, "I have not found a systematic flaw in the quality of Knuth et al.'s reasoning" to "Knuth Got it Wrong"?