Central limit theorem

hi all,
i have made a small VI to apply the central limit theorem, it works very good except that it is slow, i know i can use a more powerful computer and it will be faster, but i want to optimize this vi for minimum time.
anyone can help?
what i do in this vi: 1-generate N (usualy 30) unigue random positive integer numbers
2-i use this 30 integers as indices to select 30 random elements from an array X (which has at least 40 samples)
3- i get the average of this 30 randomly selected elements from array X
4- i repeat the previous 3 steps at least 10^6 times.
5- i draw a histogram.
is there a way to make this vi faster (as possible) , even if i have to change the algorithm, as long as it does the same.
thank you
Solved!
Go to Solution.
Attachments:
CLT.vi ‏34 KB

Here's what I would do.
For 1M samples, it takes abour 2s on my computer.
If you parallelize the outer loop, it will be proportionally faster (~0.15s total on my 16 core dual Xeon )
Code assumes that the input array is >30 and that you want to pick 30 random elements. Change to diagram constant wired to N of the inner loop to change the pick size (or change to a control on the toplevel diagram).
LabVIEW Champion . Do more with less code and in less time .
Attachments:
CLT_Code.png ‏5 KB
CLT_MOD.vi ‏26 KB

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