Random123 is a library of "counter-based" random number generators
(CBRNGs), in which the Nth random number can be obtained by applying a
stateless mixing function to N instead of the conventional approach of
using N iterations of a stateful transformation. CBRNGs were
originally developed for use in MD applications on Anton, but they are
ideal for a wide range of applications on modern multi-core CPUs,
GPUs, clusters, and special-purpose hardware. Three families of
non-cryptographic CBRNGs are described in our paper,
Parallel Random Numbers: As Easy as 1, 2, 3 which was
awarded the Best Paper at the
SC11 conference: ARS (based on the Advanced Encryption System (AES)),
Threefry (based on the Threefish encryption function), and Philox
(based on integer multiplication). They all satisfy rigorous
statistical testing (passing BigCrush in TestU01), vectorize and
parallelize well (each generator can produce at least 264 independent
streams), have long periods (the period of each stream is at least
2128), require little or no memory or state, and have excellent
performance (a few clock cycles per byte of random output). The
Random123 library can be used with CPU (C and C++) and GPU (CUDA and
The link above is to an archival copy of the paper at the ACM Digital Library.
It should not require a subscription or payment. If that link doesn't work
for you, then use this link instead.
Random123 is available without cost for both non-commercial and commercial use
subject to the license.
Download the latest source code.
Browse the documentation.
Older releases are here.