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Regular version of the site

Article

RNGSSELIB: Program library for random number generation. More generators, parallel streams of random numbers and Fortran compatibility

Computer Physics Communications. 2013. Vol. 184. No. 10. P. 2367-2369.
Barash L. Y., L.N. Shchur.

In this update, we present the new version of the random number generator (RNG) library RNGSSELIB,which, in particular, contains fast SSE realizations of a number of modern and most reliable generators [1]. The new features are: (i) Fortran compatibility and examples of using the library in Fortran; (ii) new modern and reliable generators; (iii) the abilities to jump ahead inside a RNG sequence and to initialize up to 1019 independent random number streams with block splitting method.