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Random Number Generator Recommendation by
"... The generation of uniform pseudorandom numbers between 0 and 1 is important in many numerical simulations. The purpose of this report is to explore the best generator(s) of such random numbers in terms of statistical properties and speed. While attempting to find the best generator in general, the ..."
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Cited by 1 (0 self)
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The generation of uniform pseudorandom numbers between 0 and 1 is important in many numerical simulations. The purpose of this report is to explore the best generator(s) of such random numbers in terms of statistical properties and speed. While attempting to find the best generator in general
True Random Number Generators
"... Abstract Random numbers are needed in many areas: cryptography, Monte Carlo computation and simulation, industrial testing and labeling, hazard games, gambling, etc. Our assumption has been that random numbers cannot be computed; because digital computers operate deterministically, they cannot prod ..."
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produce random numbers. Instead, random numbers are best obtained using physical (true) random number generators (TRNG), which operate by measuring a wellcontrolled and specially prepared physical process. Randomness of a TRNG can be precisely, scientifically characterized and measured. Especially
ON THE INITIAL SEED OF THE RANDOM NUMBER GENERATORS
"... Abstract. A good arithmetic random number generator should possess full period, uniformity and independence, etc. To obtain the excellent random number generator, many researchers have found good parameters. Also an initial seed is the important factor in random number generator. But, there is no th ..."
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Abstract. A good arithmetic random number generator should possess full period, uniformity and independence, etc. To obtain the excellent random number generator, many researchers have found good parameters. Also an initial seed is the important factor in random number generator. But
PSEUDORANDOM NUMBER GENERATOR
, 1977
"... ii A simple and inexpensive pseudorandom number generator has been designed and built using linear feedback shift registers to generate rectangular and gaussian distributed numbers. The device has been interfaced to a Nova computer to provide a high speed source of random numbers. The two distribu ..."
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ii A simple and inexpensive pseudorandom number generator has been designed and built using linear feedback shift registers to generate rectangular and gaussian distributed numbers. The device has been interfaced to a Nova computer to provide a high speed source of random numbers. The two
Computational Alternatives to Random Number Generators
 SELECTED AREAS IN CRYPTOGRAPHY
, 1999
"... In this paper, we present a simple method for generating randombased signatures when random number generators are either unavailable or of suspected quality (malicious or accidental). By ..."
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Cited by 4 (3 self)
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In this paper, we present a simple method for generating randombased signatures when random number generators are either unavailable or of suspected quality (malicious or accidental). By
Uniform Random Number Generators for Supercomputers
 Proc. Fifth Australian Supercomputer Conference
, 1992
"... We consider the requirements for uniform pseudorandom number generators on modern vector and parallel supercomputers, consider the pros and cons of various classes of methods, and outline what is currently available. We propose a class of random number generators which have good statistical propert ..."
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Cited by 35 (14 self)
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We consider the requirements for uniform pseudorandom number generators on modern vector and parallel supercomputers, consider the pros and cons of various classes of methods, and outline what is currently available. We propose a class of random number generators which have good statistical
Evaluating Parallel Random Number Generators
"... Parallel random number generators are studied and tested on a variety of parallel computers. The performance of each random number generator is evaluated using parallel Monte Carlo simulations. A model with known results is used to enable a more precise analysis of each random number generator. The ..."
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Parallel random number generators are studied and tested on a variety of parallel computers. The performance of each random number generator is evaluated using parallel Monte Carlo simulations. A model with known results is used to enable a more precise analysis of each random number generator
Source codes as random number generators
 IEEE Trans. Inform. Theory
, 1998
"... Abstract—A random number generator generates fair coin flips by processing deterministically an arbitrary source of nonideal randomness. An optimal random number generator generates asymptotically fair coin flips from a stationary ergodic source at a rate of bits per source symbol equal to the entro ..."
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Cited by 21 (1 self)
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Abstract—A random number generator generates fair coin flips by processing deterministically an arbitrary source of nonideal randomness. An optimal random number generator generates asymptotically fair coin flips from a stationary ergodic source at a rate of bits per source symbol equal
PUFbased random number generation
 In MIT CSAIL CSG Technical Memo 481 (http://csg.csail.mit.edu/pubs/memos/Memo481/Memo481.pdf
, 2004
"... From security to randomized algorithms, there are many existing problems whose solutions are fundamentally based on the assumption that intrinsically pure random number sources exist. Pseudorandom number generators can imitate randomness sufficiently well for most applications, however, they still r ..."
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Cited by 13 (3 self)
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From security to randomized algorithms, there are many existing problems whose solutions are fundamentally based on the assumption that intrinsically pure random number sources exist. Pseudorandom number generators can imitate randomness sufficiently well for most applications, however, they still
Uniform Random Number Generators for Supercomputers
"... We consider the requirements for uniform pseudorandom number generators on modern vector and parallel supercomputers, consider the pros and cons of various classes of methods, and outline what is currently available. We propose a class of random number generators which have good statistical propert ..."
Abstract
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We consider the requirements for uniform pseudorandom number generators on modern vector and parallel supercomputers, consider the pros and cons of various classes of methods, and outline what is currently available. We propose a class of random number generators which have good statistical
Results 11  20
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