Random 123 repository, to analyze and understand code.
Main page: https://www.deshawresearch.com/resources_random123.html
Reference article:
- Parallel Random Numbers: As Easy as 1, 2, 3, Salmon, Moraes, Dror & Shaw, SC11, Seattle, Washington, USA, 2011, ACM
- http://dl.acm.org/citation.cfm?doid=2063405
Reference article [PDF]: http://www.thesalmons.org/john/random123/papers/random123sc11.pdf