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37 lines
1.5 KiB
37 lines
1.5 KiB
<?xml version="1.0" encoding="UTF-8"?>
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<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
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<pkgmetadata>
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<maintainer type="project">
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<email>haskell@gentoo.org</email>
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<name>Gentoo Haskell</name>
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</maintainer>
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<use>
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<flag name="optimised-mixer">Use JavaScript for mix32</flag>
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<flag name="random">Providen RandomGen SMGen instance</flag>
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</use>
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<longdescription>
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Pure Haskell implementation of SplitMix described in
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Guy L. Steele, Jr., Doug Lea, and Christine H. Flood. 2014.
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Fast splittable pseudorandom number generators. In Proceedings
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of the 2014 ACM International Conference on Object Oriented
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Programming Systems Languages & Applications (OOPSLA '14). ACM,
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New York, NY, USA, 453-472. DOI:
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<https://doi.org/10.1145/2660193.2660195>
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The paper describes a new algorithm /SplitMix/ for /splittable/
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pseudorandom number generator that is quite fast: 9 64 bit arithmetic/logical
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operations per 64 bits generated.
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/SplitMix/ is tested with two standard statistical test suites (DieHarder and
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TestU01, this implementation only using the former) and it appears to be
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adequate for "everyday" use, such as Monte Carlo algorithms and randomized
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data structures where speed is important.
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In particular, it __should not be used for cryptographic or security applications__,
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because generated sequences of pseudorandom values are too predictable
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(the mixing functions are easily inverted, and two successive outputs
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suffice to reconstruct the internal state).
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</longdescription>
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</pkgmetadata>
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