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Speed : Each random takes five or six instructions men seeking men a post GPU with bit integer multiply like Fermi or Cayman. Stream-Splitting : The RNG is skippable which flr not that un-commonusing very little working storage which is less commonand I've also actually provided the code to do it which is somewhat rare.
This is reasonable, but in some applications you could exhaust the period by having huge s of GPUs in parallel, or by running simulations for days. Lack of Theory : The generator is based on a type of generator with known theoretical quality and period the Multiply-With-Carry but then modified to drastically improve empirical quality while retaining the period.
The plain C code using stdint. Stream-Splitting : The RNG is skippable which is not that un-commonusing very little mw storage which is less commonand I've also actually provided the code to do it which is somewhat rare.
I can't say anything about theoretical structure, but can demonstrate that it is empirically much more random than generators with supposedly good theoretical properties. Speed : Each random takes five or six instructions assuming a lokking GPU with bit integer multiply like Fermi or Cayman.
It also means you can't use random seeding, although because I've provided skipping code that shouldn't matter.