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CEC
2008
IEEE
13 years 11 months ago
A fast high quality pseudo random number generator for graphics processing units
—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 ...
William B. Langdon
GECCO
2009
Springer
241views Optimization» more  GECCO 2009»
13 years 9 months ago
A fast high quality pseudo random number generator for nVidia CUDA
Previously either due to hardware GPU limits or older versions of software, careful implementation of PRNGs was required to make good use of the limited numerical precision availa...
William B. Langdon
ICPP
2008
IEEE
13 years 11 months ago
On the Design of Fast Pseudo-Random Number Generators for the Cell Broadband Engine and an Application to Risk Analysis
Numerical simulations in computational physics, biology, and finance, often require the use of high quality and efficient parallel random number generators. We design and optimi...
David A. Bader, Aparna Chandramowlishwaran, Virat ...
EGH
2010
Springer
13 years 2 months ago
GPU random numbers via the tiny encryption algorithm
Random numbers are extensively used on the GPU. As more computation is ported to the GPU, it can no longer be treated as rendering hardware alone. Random number generators (RNG) a...
Fahad Zafar, Marc Olano, Aaron Curtis
ICVGIP
2008
13 years 6 months ago
Fast, Processor-Cardinality Agnostic PRNG with a Tracking Application
As vision algorithms mature with increasing inspiration from the learning community, statistically independent pseudo random number generation (PRNG) becomes increasingly importan...
Andrew Janowczyk, Sharat Chandran, Srinivas Aluru