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

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...

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Vydané v:	Computer physics communications Ročník 184; číslo 10; s. 2367 - 2369
Hlavní autori:	Barash, L.Yu, Shchur, L.N.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.10.2013
Predmet:	Monte Carlo Pseudorandom numbers Random number generation Random numbers Statistical methods Streaming SIMD Extensions Pseudorandom numbers Statistical methods Random numbers Streaming SIMD Extensions Monte Carlo Random number generation
ISSN:	0010-4655, 1879-2944
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