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PRNG Random Numbers on GPU

Authors
Publisher
CES-477
Publication Date
Source
Legacy
Keywords
  • Qa75 Electronic Computers. Computer Science

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

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