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OpenRAND: A Performance Portable, Reproducible Random Number Generation Library for Parallel Computations

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-31464-3_10openalex-extracted

Fast and Small Nonlinear Pseudorandom Number Generators for Computer Simulation

inferredcites →https://doi.org/10.1007/bf01397554openalex-extracted

Parallelization of random number generators and long-range correlations

inferredcites →https://doi.org/10.1007/s11227-019-02756-2openalex-extracted

An OpenCL library for parallel random number generators

inferredcites →https://doi.org/10.1016/j.commatsci.2019.109363openalex-extracted

HOOMD-blue: A Python package for high-performance molecular dynamics and hard particle Monte Carlo simulations

inferredcites →https://doi.org/10.1016/j.jcp.2011.05.021openalex-extracted

Pseudo-random number generation for Brownian Dynamics and Dissipative Particle Dynamics simulations on GPU devices

inferredcites →https://doi.org/10.1016/j.matcom.2016.05.005openalex-extracted

Random numbers for parallel computers: Requirements and methods, with emphasis on GPUs

inferredcites →https://doi.org/10.1109/wsc52266.2021.9715397openalex-extracted

Multiple Streams with Recurrence-Based, Counter-Based, and Splittable Random Number Generators

inferredcites →https://doi.org/10.1145/1268776.1268777openalex-extracted

TestU01

inferredcites →https://doi.org/10.1145/2063384openalex-extracted

Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis

inferredcites →https://doi.org/10.1145/2427023.2427029openalex-extracted

Variants of Mersenne Twister Suitable for Graphic Processors

inferredcites →https://doi.org/10.1145/272991.272995openalex-extracted

Mersenne twister

inferredcites →https://doi.org/10.5555/1921479.1921500openalex-extracted

GPU random numbers via the tiny encryption algorithm

inferredcites →https://doi.org/10.7554/elife.44494openalex-extracted

NetPyNE, a tool for data-driven multiscale modeling of brain circuits

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