8 citations · 9 across the 4 of their papers we have counts for
5 papers
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…
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…
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…
Unveiling patterns in xorshift128+ pseudorandom number generators
Hiroshi Haramoto, Makoto Matsumoto, Mutsuo Saito
Xorshift128+ is a newly proposed pseudorandom number generator (PRNG), which is now the standard PRNG on a number of platforms. We demonstrate that three-dimensional plots of the r…
Checking the Quality of Approximation of -values in Statistical Tests for Random Number Generators by Using a Three-Level Test
Hiroshi Haramoto, Makoto Matsumoto
Statistical tests of pseudorandom number generators (PRNGs) are applicable to any type of random number generators and are indispensable for evaluation. While several practical pac…