Title of article :
RNGSSELIB: Program library for random number generation. More generators, parallel streams of random numbers and Fortran compatibility Original Research Article
Author/Authors :
L.Yu. Barash، نويسنده , , L.N. Shchur، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 2013
Abstract :
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.
Keywords :
Statistical methods , Monte Carlo , Random number generation , Pseudorandom numbers , Streaming SIMD Extensions , Random numbers
Journal title :
Computer Physics Communications
Journal title :
Computer Physics Communications