But if you are going to explore the threading of recursion in Perl, there are simpler ways than your implementations. This does the job:
No, that does not limit the number of workers.
Equally, the recursive algorithm can be sped up immensely by simply memoising it.
It doesn't seem to be a technique you can use for distributed work, which is where I thought you were going with this.
All of these modifications make it possible to calculate Fibonacci( 1474 )
The point was to find a technique. Or are you saying the technique will never be as efficient as alternatives?
Anyway, I saw your post about the Ackermann function, and that's a whole different ballgame. I spent a lot of time tinkering with that too after you mentioned it.
As far as I know, one can't make y = f(x); z = f(y); parallel without refactoring by a human, yet the Ackermann function is of that form.
That said, it does have interesting traits that may make parallisation possible (or impossible).
 If you need calculate A(m,n), you know you will also need to calculate A(m,i) for 0<i<n.
 For m>0 and n>0, A(m,n) is a series of n+1 evaluations of A(m1,i) with increasing i.
 ...
But I'm in way over my head.
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