Random
Collection
6 items • Updated • 1
In this article, we propose a new counter-based implementation of John von Neumann's middle-square random number generator (RNG). Several rounds of squaring are applied to a counter to produce a random output. We discovered that four rounds are sufficient to provide satisfactory data. Two versions of the RNG are presented, a 4-round version with 32-bit output and a 5-round version with 64-bit output. Both pass stringent tests of randomness and may be the fastest counter-based generators.
Get this paper in your agent:
hf papers read 2004.06278 curl -LsSf https://hf.co/cli/install.sh | bash No model linking this paper
No dataset linking this paper
No Space linking this paper