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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(m-1,i) with increasing i.
  • ...

But I'm in way over my head.

In reply to Re^3: [OT]: threading recursive subroutines. by ikegami
in thread [OT]: threading recursive subroutines. by BrowserUk

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