Testimonials

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Seeding Molecular Dynamics and Monte Carlo Simulations

I write and use molecular dynamics and Monte Carlo simulators which have their own pseudo-random number generators (for portability and reproducibility). These require the user to input a random number seed. If I want to perform an ensemble of N statistically independent runs (e.g., with different initial conditions), I need N independent seeds. So I use your site to generate seeds to paste into my input script, i.e., your random generator generates random seeds for input to a pseudo-random generator. Say that 5 times fast.

—Steve Plimpton, Sandia National Labs

Simulation Data Generation R Integer Generator 2008

Dithering Audio Files

Thank you for your random number service, I have downloaded your 10 MB pre-generated numbers to use them for generating random noise to be added as dither to audio files in our audio products. Dithering works by adding random noise when decreasing bit-depth, such as going from 24 bit to 16 bit, allowing low volume signals that would be normally decimated to still be present, whilst the random signal increases the noise floor it normally remains inaudible.

—Mr Spoon, dbPowerAMP

Music and Sound Data Generation R Integer Generator 2005

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Testimonials

Seeding Molecular Dynamics and Monte Carlo Simulations

Dithering Audio Files