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- W2949938315 abstract "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." @default.
- W2949938315 created "2019-06-27" @default.
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- W2949938315 date "2011-08-02" @default.
- W2949938315 modified "2023-10-06" @default.
- W2949938315 title "High-Performance Pseudo-Random Number Generation on Graphics Processing Units" @default.
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