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ViralBShah merged 3 commits into from
Jun 14, 2021
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Doc: Proper attribution #41205

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a34a3a0
Doc: Proper attribution
PallHaraldsson Jun 11, 2021
8fdbf5a
Update Xoshiro.jl
PallHaraldsson Jun 11, 2021
e7b9cbc
Fix whitespace
PallHaraldsson Jun 11, 2021
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12 changes: 7 additions & 5 deletions src/task.c
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Original file line number Diff line number Diff line change
Expand Up @@ -649,14 +649,16 @@ JL_DLLEXPORT void jl_rethrow_other(jl_value_t *e JL_MAYBE_UNROOTED)
throw_internal(ct, NULL);
}

/* This is xoshiro256++ 1.0, used for tasklocal random number generation in julia.
/* This is xoshiro256++ 1.0, used for tasklocal random number generation in Julia.
This implementation is intended for embedders and internal use by the runtime, and is
based on the reference implementation on http://prng.di.unimi.it
based on the reference implementation at https://prng.di.unimi.it

Credits go to Sebastiano Vigna for coming up with this PRNG.
Credits go to David Blackman and Sebastiano Vigna for coming up with this PRNG.
They described xoshiro256++ in "Scrambled Linear Pseudorandom Number Generators",
ACM Trans. Math. Softw., 2021.

There is a pure julia implementation in stdlib that tends to be faster when used from
within julia, due to inlining and more agressive architecture-specific optimizations.
There is a pure Julia implementation in stdlib that tends to be faster when used from
within Julia, due to inlining and more agressive architecture-specific optimizations.
*/
JL_DLLEXPORT uint64_t jl_tasklocal_genrandom(jl_task_t *task) JL_NOTSAFEPOINT
{
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6 changes: 4 additions & 2 deletions stdlib/Random/src/Xoshiro.jl
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Expand Up @@ -6,8 +6,10 @@
"""
Xoshiro

Xoshiro256++ is a fast pseudorandom number generator originally developed by Sebastian Vigna.
Reference implementation is available at http://prng.di.unimi.it
Xoshiro256++ is a fast pseudorandom number generator described by David Blackman and
Sebastiano Vigna in "Scrambled Linear Pseudorandom Number Generators",
ACM Trans. Math. Softw., 2021. Reference implementation is available
at http://prng.di.unimi.it

Apart from the high speed, Xoshiro has a small memory footprint, making it suitable for
applications where many different random states need to be held for long time.
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