4994

High-Performance Pseudo-Random Number Generation on Graphics Processing Units

Nimalan Nandapalan, Richard P. Brent, Lawrence M. Murray, Alistair Rendell
Research School of Computer Science, The Australian National University
arXiv:1108.0486v1 [cs.DC] (2 Aug 2011)
BibTeX

Download Download (PDF)   View View   Source Source   

1860

views

This work considers the deployment of pseudo-random number generators (PRNGs) on graphics processing units (GPUs), developing an approach based on the xorgens generator to rapidly produce pseudo-random numbers of high statistical quality. The chosen algorithm has configurable state size and period, making it ideal for tuning to the GPU architecture. We present a comparison of both speed and statistical quality with other common parallel, GPU-based PRNGs, demonstrating favourable performance of the xorgens-based approach.
No votes yet.
Please wait...

You must be logged in to post a comment.

Recent source codes

* * *

* * *

HGPU group © 2010-2025 hgpu.org

All rights belong to the respective authors

Contact us:

contact@hpgu.org