Re: rand48 replacement - Mailing list pgsql-hackers

From Fabien COELHO
Subject Re: rand48 replacement
Date
Msg-id alpine.DEB.2.22.394.2107060956180.3858351@pseudo
Whole thread Raw
In response to Re: rand48 replacement  (Yura Sokolov <y.sokolov@postgrespro.ru>)
Responses Re: rand48 replacement
List pgsql-hackers
Hello Yura,

>> However, I'm not enthousiastic at combining two methods depending on
>> the range, the function looks complex enough without that, so I would
>> suggest not to take this option. Also, the decision process adds to
>> the average cost, which is undesirable.
>
> Given 99.99% cases will be in the likely case, branch predictor should
> eliminate decision cost.

Hmmm. ISTM that a branch predictor should predict that unknown < small 
should probably be false, so a hint should be given that it is really 
true.

> And as Dean Rasheed correctly mentioned, mask method will have really 
> bad pattern for branch predictor if range is not just below or equal to 
> power of two.

On average the bitmask is the better unbiased method, if the online 
figures are to be trusted. Also, as already said, I do not really want to 
add code complexity, especially to get lower average performance, and 
especially with code like "threshold = - range % range", where both 
variables are unsigned, I have a headache just looking at it:-)

> And __builtin_clzl is not free lunch either, it has latency 3-4 cycles
> on modern processor.

Well, % is not cheap either.

> Well, probably it could run in parallel with some part of xoroshiro, but 
> it depends on how compiler will optimize this function.
>
>> I would certainly select the unbias multiply method if we want a u32 
>> range variant.
>
> There could be two functions.

Yep, but do we need them? Who is likely to want 32 bits pseudo random 
ints in a range? pgbench needs 64 bits.

So I'm still inclined to just keep the faster-on-average bitmask method, 
despite that it may be slower for some ranges. The average cost for the 
worst case in PRNG calls is, if I'm not mistaken:

   1 * 0.5 + 2 * 0.25 + 3 * 0.125 + ... ~ 2

which does not look too bad.

-- 
Fabien.



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