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Xorshift
Xorshift random number generators are a class of pseudorandom number generators that was discovered by George Marsaglia. They generate the next…
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Related topics
Related topics
14 relations
Bitwise operation
C++
Cryptographically secure pseudorandom number generator
Linear congruential generator
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
FPGA Implementation of F2-Linear Pseudorandom Number Generators based on Zynq MPSoC: A Chaotic Iterations Post Processing Case Study
Mohammed Bakiri
,
Jean-François Couchot
,
C. Guyeux
International Conference on Security and…
2016
Corpus ID: 11625792
Pseudorandom number generation (PRNG) is a key element in hardware security platforms like fieldprogrammable gate array FPGA…
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2016
2016
Uniform and non-uniform pseudorandom number generators in a genetic algorithm applied to an order picking problem
Michael Stauffer
,
T. Hanne
,
Rolf Dornberger
IEEE Congress on Evolutionary Computation
2016
Corpus ID: 11960702
In recent years, a trend towards alternative random or more precisely pseudorandom number generators could have been observed…
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2016
2016
An Implementation Method of Trie Structure Using Xorshift
K. Morita
,
Shunsuke Kanda
,
M. Fuketa
2016
Corpus ID: 59273389
2014
2014
Pseudoslumptalsgenerering : En studie av pseudoslumpsalgoritmer i allmänhet med fokus på C++11-biblioteket Random samt implementation av en modifierad XORShift
Hampus Liljekvist
,
Michael Håkansson
2014
Corpus ID: 60093907
Randomness is a complex area of computer science, where only pseudo random numbers are possible to generate algorithmically.This…
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2011
2011
Evaluating Quality of Chaotic Pseudo-Random Generators: Application to Information Hiding
J. Bahi
,
Xiaole Fang
,
C. Guyeux
,
Qianxue Wang
arXiv.org
2011
Corpus ID: 7187161
Guaranteeing the security of information transmitted through the Internet, against passive or active attacks, is a major concern…
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2011
2011
Using graphics processing units to generate random numbers
S. Hissoiny
,
P. Després
,
B. Ozell
arXiv.org
2011
Corpus ID: 15127805
The future of high-performance computing is aligning itself towards the efficient use of highly parallel computing environments…
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2006
2006
Using Magma to find good xorshift random number generators
R. Brent
2006
Corpus ID: 13963284
2006
2006
From Mersenne Primes to Random Number Generators
R. Brent
2006
Corpus ID: 17144670
Fast and reliable pseudo-random number generators are required for simulation and other applications in Scientific Computing…
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