9 results for tags
random x
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Pseudo Random Number Generator
The RAN # function of HP-11C and -15C computesWed Feb 12 12:55:07 2025 - permalink -
x_{i+1}=(33(29⋅2010667⋅x_i+131⋅449⋅641)) mod 10^{10}- https://www.hpmuseum.org/forum/thread-23107-post-199577.html#pid199577
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GCP: REG Design
Random event generators, found via a comment on https://www.raspberrypi.com/news/raspberry-pi-cosmic-ray-detector-from-cern/Thu Apr 4 12:15:18 2024 - permalink -
They appear to be used to demonstrate "The behavior of our network of random sources is correlated with interconnected human consciousness on a global scale." https://noosphere.princeton.edu/introduction.html- https://noosphere.princeton.edu/reg.html
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Infinite Noise TRNG | Crowd Supply
"True" random number generator, found via https://github.com/dirkx/infnoiseThu Jul 8 12:03:23 2021 - permalink -- https://www.crowdsupply.com/13-37/infinite-noise-trng
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Aaron Toponce
Blog about cryptography, hash functions and moreFri Dec 18 23:02:20 2020 - permalink -- https://pthree.org/
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Dissecting Lemire’s nearly divisionless random — Very Serious Blog
Found on Tony Finch's blogMon Dec 14 14:47:39 2020 - permalink -
https://fanf.dreamwidth.org/133551.html- https://veryseriousblog.com/posts/dissecting-lemire
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Squares RNG
Squares RNG is a counter-based version of Middle Square Weyl Sequence RNG. Counter-based RNGs have no state and are well suited to parallel processing. There is no need to maintain or initialize a state. Squares is faster than Middle Square Weyl Sequence on an Intel Core i7-9700. Processing speed is, of course, processor dependent and may vary on other processors. If you are currently using Middle Square Weyl Sequence, you might consider Squares. It produces data of equivalent quality and is easier to use since there is no state.Tue Oct 20 12:35:21 2020 - permalink -
This generator passes BigCrush and PractRand.- https://squaresrng.wixsite.com/rand
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PCG, A Family of Better Random Number Generators | PCG, A Better Random Number Generator
PCG is a family of simple fast space-efficient statistically good algorithms for random number generation. Unlike many general-purpose RNGs, they are also hard to predict.Wed Oct 14 17:50:59 2020 - permalink -- https://www.pcg-random.org/index.html
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A source of public randomness
Every 60 seconds, 512 bits obtained from hardware-based sources of randomness are broadcast. Each value is signed and time-stamped.Mon Nov 21 16:32:27 2016 - permalink -- https://www.nist.gov/programs-projects/nist-randomness-beacon
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LUT-SR uniform random number generators for FPGAs
Interesting design of random number generators optimised for efficient implementation in hardware.Thu Oct 3 11:07:44 2013 - permalink -- http://cas.ee.ic.ac.uk/people/dt10/research/rngs-fpga-lut_sr.html