This is an interesting question, but I don’t think it's closely related to Akka.

Maybe you want to take a look at ScalaBlitz (http://scala-blitz.github.io/) for 
some inspiration and potentially ask your question there.

Heiko

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Heiko Seeberger
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> On 14 Jul 2015, at 07:04, Maatary Okouya <[email protected]> wrote:
> 
> Hi, 
> 
> I was just wondering as a general advise if the following made sense. 
> 
> 
> I have a list, that i need to filter according to the following criteria: Let 
> say the list contain things of type A, B, C and D and i want to take n0 elt 
> of A, n1 elt of B, n2 elt of C and n3 elt of D and then make one list out of 
> it.
> 
> the iterative approach is pretty clean (i.e. going over the all list, using 4 
> counters, adding elt to each list until each respective counter reached it 
> limit i.e. n1, n2, n3, n4), but a colleague at work told me to take advantage 
> of multiple cpu and parallelize the operation using future. 
> 
> in other words, launching 4 future operation that filter the list, and drop 
> if it applies (i.e.resultinglist > nx), "resultinglist.size - n0 or n1 or n2 
> or n3 or n4". then await the result and combine the list. 
> 
> I think this is an overkill for something we use to do iteratively pretty 
> easily. I just wonder what people think about that. Yes i can run a test and 
> compare the speed, but it raise the question of, when exactly can we ensure 
> that we are taking advantage of the multiple cpu architecture. Because indeed 
> i understand the motivation behind the suggestion. However, i did not know 
> how to tell that it might be counter productive. We were both stuck in debate 
> and enable to state if it  is good situation or a bad situation to use 
> parallelization. In other word we did not have a criterion. Is  testing the 
> only way to know ?
> 
> 
> Many thanks,
> 
> M
> 
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