# JKISS32, High quality PRNG with RealRandom seed, save a COG.

Heater.
Posts:

**21,233**
There has been much talk of random numbers here recently, both real and pseudo. What with Cessnapilot's suggestion to use CNT as a random source at start up and Bit's (was it?) request for a random shuffling algorithm.

This reignited my long standing fascination for such things and the result is my Christmas break project was one super-duper random number generator for the Propeller which is attached here.

The simple idea is:

1) We would quite often like to use genuine random numbers form some random source. At least so that our programs don't behave the same way on every run as they might with Spins random operator. An easy way to do that is with Chip's magical RealRandom object. BUT that consumes a whole valuable COG for such a simple task.

2) So we could start up RealRandom, get real random seed from it, shut it down to save a COG and then use the seed for Spins built in random operator in our applications.

3) BUT whilst we are at it why not use a pseudo random number generator with a huge repetition period and probably more random looking sequences? That way we would be hard pressed to tell the difference between using RealRandom all the time or a randomly seeded PRNG.

Most high quality PRNGs use unsigned arithmetic and/or 64 bit arithmetic and/or multiplies and are therefore not very Spin friendly. Luckly over Christmas I found the JKISS32 algorithm by David Jones, based on ideas by the late George Marsaglia, an expert in PRNG's. JKISS32 uses 32 bit signed arithmetic, only uses a handful of lines of Spin and has a period of ~2^121. That is the "random" number sequence it generates will only start to repeat after about 2600000000000000000000000000000000000 numbers !!! (if I have counted my zeros correctly). JKISS32 has been tested with some serious statistical tools to check the quality of it's "randomness" and passed with flying colours.

P.S. Again I have to say I don't imply that Spin's random operator is faulty but sometimes we might like to have better. For example Bit's shuffling project could do with very long period PRNG. Also it can be beneficial to not use built in system RNG's and use you own, this way when you move your code from system to system you can be sure of consistent high quality results.

This reignited my long standing fascination for such things and the result is my Christmas break project was one super-duper random number generator for the Propeller which is attached here.

The simple idea is:

1) We would quite often like to use genuine random numbers form some random source. At least so that our programs don't behave the same way on every run as they might with Spins random operator. An easy way to do that is with Chip's magical RealRandom object. BUT that consumes a whole valuable COG for such a simple task.

2) So we could start up RealRandom, get real random seed from it, shut it down to save a COG and then use the seed for Spins built in random operator in our applications.

3) BUT whilst we are at it why not use a pseudo random number generator with a huge repetition period and probably more random looking sequences? That way we would be hard pressed to tell the difference between using RealRandom all the time or a randomly seeded PRNG.

Most high quality PRNGs use unsigned arithmetic and/or 64 bit arithmetic and/or multiplies and are therefore not very Spin friendly. Luckly over Christmas I found the JKISS32 algorithm by David Jones, based on ideas by the late George Marsaglia, an expert in PRNG's. JKISS32 uses 32 bit signed arithmetic, only uses a handful of lines of Spin and has a period of ~2^121. That is the "random" number sequence it generates will only start to repeat after about 2600000000000000000000000000000000000 numbers !!! (if I have counted my zeros correctly). JKISS32 has been tested with some serious statistical tools to check the quality of it's "randomness" and passed with flying colours.

P.S. Again I have to say I don't imply that Spin's random operator is faulty but sometimes we might like to have better. For example Bit's shuffling project could do with very long period PRNG. Also it can be beneficial to not use built in system RNG's and use you own, this way when you move your code from system to system you can be sure of consistent high quality results.

zip

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## Comments

7,642Just a note on the demo: You're outputting to a terminal at 115.2K baud but left the clock and pll settings out of the code. Easy to add, but I'm sure a newbie miss it and ask why the terminal screen is filled with garbage.

Also, the copy of RealRandom in the archive returns before the 5ms "warm-up."

52117,833Since the prop has optional carry calculation, does this affect the spin code because carry will not normally be changing ???

21,2336,506Random numbers can wait one more day!

23,018Akvaviitti. )-Phil

11,954Or 2 or 5 or 7 or.....

21,233No, no, this is not Sweden this is Finland. Here we drink Koskenkorva. But as an expat Brit I also need my whisky to see in the new year.

17,833Whisky or whatever, I do hope the sensible answers are not chosen at random

Happy New Year to all

208Ohhh THATS why my terminal is full of garbage. Very cool code indeed. Will be useful in my current project. Thanks!

21,233Good point, clock settings are added to the new version now in the first post.

I noticed that little problem with RealRandom. Well actually it's a major problem when used like this.That's not me it's in OBEX like that. The demo works around it by discarding all zeros returned by RealRandom at start up. Perhaps a longer delay would be better, not sure.

Cluso,

This is an "add-with-carry generator" but as you see the code does not use the Props carry directly (How could it in Spin or C?). But the carry c is just a variable set when t is less than zero and cleared otherwise. Note the "& 1" I had to add in there to get the same effect as the C version.

Now the search is on for a PRNG with an even longer period. The ones I have found so far start to get much bigger code wise and/or use large arrays. I'm really not into translating the Mersenne Twister into Spin. http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/emt.html

21,233BUST does a bunch of statistical tests on number sequences to try and detect non-randomness. In each run 5 different tests are run over 100 sets of 1000 generated numbers. For real random data one would expect 23 of the tests to fail +/-6 or so. Out side that there is some question about the randomness of your source of numbers.

JKISS32 has bee doing quite well in these tests with scores of 19, 17, 24, 33, 21, 25, 29 so far. That 33 is outside acceptable limits but as CessnaPilot notes in the BUST code "With randomness you can be never sure."

Spin's built in random operator "?" is a dismal failure with scores of 40, 45, 45. Not one of them within acceptable limits. Hardly random at all:)

This is all rather slow going so it's time to fill up and SD card with randomness and analyze it with the dieharder or similar test package.