3 papers
cs.MS2025
Making the RANMAR pseudorandom number generator in LAMMPS up to four times faster, with an implementation of jump-ahead
Hiroshi Haramoto, Kosuke Suzuki
Massively parallel molecular simulations require pseudorandom number streams that are provably non-overlapping and reproducible across thousands of compute units in parallel comput…
stat.ME2019
Study on upper limit of sample sizes for a two-level test in NIST SP800-22
Hiroshi Haramoto
NIST SP800-22 is one of the most widely used statistical testing tools for pseudorandom number generators (PRNGs). This tool consists of 15 tests (one-level tests) and two addition…
cs.CR2019
Again, random numbers fall mainly in the planes: xorshift128+ generators
Hiroshi Haramoto, Makoto Matsumoto
Xorshift128+ are pseudo random number generators with eight sets of parameters. Some of them are standard generators in many platforms, such as JavaScript V8 Engine. We show that i…