Computational Science Asked by Geoffrey Irving on August 22, 2021
I have a large number of parallel processes and a large integer $n$, and want to randomly partition the integers $[0,n)$ among the processes with only $O(1)$ communication.
One nice way to do this would to generate a pseudorandom permutation $pi in S_n$ represented as a small function, so that only the random key/seed need be exchanged. Is there a good way to do this?
Pick $2^k$ slightly larger than $n$, generate a block cypher $f in S_{2^k}$ operating on $k$ bit blocks, and construct a permutation on $[0,n)$ by walking along cycles of $f$ until we get back in the desired range. Specifically, given $x < n$ we set $$g(x) = f^p(x) = f(f(f(...x...)))$$ where $p$ is the least positive integer s.t. $f^p(x) < n$.
If $2^k = O(n)$, and the block cypher is good, the walk takes $O(1)$ expected time. Note that $p$ is necessarily finite, since eventually we will walk back around the cycle and find $f^p(x) = x$.
For more details, see
Here is an example implementation using a truncated TEA block cypher as described in (2):
https://github.com/otherlab/core/blob/f09fbd19dbaa7b9033eb0888594273a6a3d592a5/random/permute.cpp
Correct answer by Geoffrey Irving on August 22, 2021
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