Results 21 to 30 of about 193,973 (281)
On the quality of random number generators with taps [PDF]
Recent exact analytical results developed for the random number generators with taps are reported. These results are applicable to a wide class of algorithms, including random walks, cluster algorithms, Ising models.
Shchur, Lev N.
core +3 more sources
Cellular Automata-Based Parallel Random Number Generators Using FPGAs
Cellular computing represents a new paradigm for implementing high-speed massively parallel machines. Cellular automata (CA), which consist of an array of locally connected processing elements, are a basic form of a cellular-based architecture.
David H. K. Hoe +4 more
doaj +1 more source
GPS-free synchronized pseudo-random number generators for internet-of-things
IntroductionSecuring wireless communications in internet-of-things (IoT) requires both generation and synchronization of random numbers in real-time. However, resource constraints on an IoT device limit the use of computationally intensive random number ...
Mustafizur Rahman, Shantanu Chakrabartty
doaj +1 more source
Pseudo-random number generators for Monte Carlo simulations on Graphics Processing Units [PDF]
Basic uniform pseudo-random number generators are implemented on ATI Graphics Processing Units (GPU). The performance results of the realized generators (multiplicative linear congruential (GGL), XOR-shift (XOR128), RANECU, RANMAR, RANLUX and Mersenne ...
Anderson +25 more
core +1 more source
Fast, high-quality pseudo random number generators for heterogeneous computing [PDF]
Random number generation is key to many applications in a wide variety of disciplines. Depending on the application, the quality of the random numbers from a particular generator can directly impact both computational performance and critically the ...
Barbone Marco +7 more
doaj +1 more source
On Horadam Sequences with Dense Orbits and Pseudo-Random Number Generators
Horadam sequence is a general recurrence of second order in the complex plane, depending on four complex parameters (two initial values and two recurrence coefficients).
Ovidiu Bagdasar +4 more
doaj +1 more source
Anosov C-systems and random number generators
We are developing further our earlier suggestion to use hyperbolic Anosov C-systems for the Monte-Carlo simulations in high energy particle physics. The hyperbolic dynamical systems have homogeneous instability of all trajectories and as such they have ...
Savvidy, George
core +1 more source
Generating randomness: making the most out of disordering a false order into a real one
Randomness is far from a disturbing disorder in nature. Rather, it underlies many processes and functions. Randomness can be used to improve the efficacy of development and of systems under certain conditions.
Yaron Ilan
doaj +1 more source
Review of High-Quality Random Number Generators
This is a review of pseudorandom number generators (RNG's) of the highest quality, suitable for use in the most demanding Monte Carlo calculations.
James, Frederick, Moneta, Lorenzo
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Geometric Random Inner Products: A New Family of Tests for Random Number Generators [PDF]
We present a new computational scheme, GRIP (Geometric Random Inner Products), for testing the quality of random number generators. The GRIP formalism utilizes geometric probability techniques to calculate the average scalar products of random vectors ...
A. M. Ferrenberg +18 more
core +4 more sources

