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https://issues.apache.org/jira/browse/RNG-188?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18059681#comment-18059681
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Alex Herbert commented on RNG-188:
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I have added support for arbitrary jumps to this generator (see RNG-189). This
is a work in progress as I have to finalise the testing which includes the
framework tests for all arbitrarily jumpable generators and include these jumps
to the JMH benchmarks.
> Add Philox random number generator
> ----------------------------------
>
> Key: RNG-188
> URL: https://issues.apache.org/jira/browse/RNG-188
> Project: Commons RNG
> Issue Type: New Feature
> Components: core
> Reporter: Alex Herbert
> Priority: Minor
> Fix For: 1.7
>
>
> Add two new random number generators: philox4x32 and philox4x64 from
> [https://www.thesalmons.org/john/random123/]
> These are quite standard nowadays (part of CUDA, Numpy, default for Pytorch
> on GPU, default for TensorFlow) and there is no official Java implementation.
> Counter-based PRNGs are great for parallelization, as skipping-ahead is
> nearly as fast as a single random number generation, and the counter makes it
> very easy to create subsequences.
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