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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Veröffentlicht in:	Computer physics communications Jg. 184; H. 10; S. 2367 - 2369
Hauptverfasser:	Barash, L.Yu, Shchur, L.N.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.10.2013
Schlagworte:	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
Online-Zugang:	Volltext
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