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PRNG Random Numbers on GPU

Langdon, William B (2007) PRNG Random Numbers on GPU. Technical Report. CES-477, University of Essex, Colchester.

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Abstract

Limited numerical precision of nVidia GeForce 8800 GTX and other GPUs requires careful implementation of PRNGs. The Park-Miller PRNG is programmed using G80’s native Value4f floating point in RapidMind C++. Speed up is more than 40. Code is available via ftp ftp://cs.ucl.ac.uk/genetic/gp-code/random-numbers/gpu park-miller.tar.gz

Item Type: Monograph (Technical Report)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 09 Jan 2014 11:37
Last Modified: 09 Jan 2014 11:37
URI: http://repository.essex.ac.uk/id/eprint/8593

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