Zobrazeno 1 - 10
of 6 011
pro vyhledávání: '"Mersenne Twister"'
The Mersenne Twister (MT) is a pseudo-random number generator (PRNG) widely used in High Performance Computing for parallel stochastic simulations. We aim to assess the quality of common parallelization techniques used to generate large streams of MT
Externí odkaz:
http://arxiv.org/abs/2401.17115
Autor:
Cannizzo, Fabio
Many simulation applications require the generation of long sequences of pseudo-random numbers. Linear recurrences modulo 2 are commonly used as the fundamental building block for constructing pseudo-random number generators with extended periods and
Externí odkaz:
http://arxiv.org/abs/2309.16682
Autor:
Van de Vel, Marcel
We combine the design of two \emph{random number generators}, \emph{Mersenne Twister} and \emph{Xorgens}, to obtain a new class of generators with heavy-weight characteristic polynomials (exceeded only by the {\sc well} generators) and high speed (co
Externí odkaz:
http://arxiv.org/abs/2011.07963
Autor:
Vigna, Sebastiano
When the Mersenne Twister made his first appearance in 1997 it was a powerful example of how linear maps on $\mathbf F_2$ could be used to generate pseudorandom numbers. In particular, the easiness with which generators with long periods could be def
Externí odkaz:
http://arxiv.org/abs/1910.06437
Akademický článek
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Autor:
Harase, Shin
Publikováno v:
Mathematics and Computers in Simulation, Volume 161, July 2019, Pages 76-83
The 32-bit Mersenne Twister generator MT19937 is a widely used random number generator. To generate numbers with more than 32 bits in bit length, and particularly when converting into 53-bit double-precision floating-point numbers in $[0,1)$ in the I
Externí odkaz:
http://arxiv.org/abs/1708.06018
Publikováno v:
European Simulation and Modelling 2010, Oct 2010, Essen, Belgium. pp.187 - 195
Parallel stochastic simulations tend to exploit more and more computing power and they are now also developed for General Purpose Graphics Process Units (GP-GPUs). Conse-quently, they need reliable random sources to feed their applications. We propos
Externí odkaz:
http://arxiv.org/abs/1501.07701
Autor:
Harase, Shin
Publikováno v:
Mathematics and Computers in Simulation, Volume 100, June 2014, Pages 103-113
Sequence generators obtained by linear recursions over the two-element field $\mathbb{F}_2$, i.e., $\mathbb{F}_2$-linear generators, are widely used as pseudorandom number generators. For example, the Mersenne Twister MT19937 is one of the most succe
Externí odkaz:
http://arxiv.org/abs/1301.5435
Autor:
Fawad Masood, Wadii Boulila, Jawad Ahmad, Arshad, Syam Sankar, Saeed Rubaiee, William J. Buchanan
Publikováno v:
Remote Sensing, Vol 12, Iss 11, p 1893 (2020)
Aerial photography involves capturing images from aircraft and other flying objects, including Unmanned Aerial Vehicles (UAV). Aerial images are used in many fields and can contain sensitive information that requires secure processing. We proposed an
Externí odkaz:
https://doaj.org/article/ff2b4ec7182a4c888ee25b9079c870d1
Autor:
Saito, Mutsuo, Matsumoto, Makoto
Publikováno v:
Transactions on Mathematical Software, 39 (2013), 12:1--12:20
This paper proposes a type of pseudorandom number generator, Mersenne Twister for Graphic Processor (MTGP), for efficient generation on graphic processessing units (GPUs). MTGP supports large state sizes such as 11213 bits, and uses the high parallel
Externí odkaz:
http://arxiv.org/abs/1005.4973