NAECON 2018 - IEEE National Aerospace and Electronics Conference 2018
DOI: 10.1109/naecon.2018.8556780
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Verification of Random Number Generators for Embedded Machine Learning

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Cited by 3 publications
(1 citation statement)
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“…We will independently re-evaluate these claims. Other RNG designs were considered, such as SBoNG [76], but they have already been shown not to be "random" [77] via SmallCrush. Final results for PCG32 when tested with SmallCrush PCG32 was tested three times each for consistency, just like previously with rand().…”
Section: Generating Random Errors For Insertion Into a Systemmentioning
confidence: 99%
“…We will independently re-evaluate these claims. Other RNG designs were considered, such as SBoNG [76], but they have already been shown not to be "random" [77] via SmallCrush. Final results for PCG32 when tested with SmallCrush PCG32 was tested three times each for consistency, just like previously with rand().…”
Section: Generating Random Errors For Insertion Into a Systemmentioning
confidence: 99%