You should check out F#'s Async module: [link:research.microsoft.com]
Also, Parallel FX (Download: [link:www.microsoft.com])
They both are capable of pooling of threads. You can also use System.Threading.ThreadPool directly.
From there, you'll have better performance if you ensure each processor keeps memory locality. For example, if you update a large array on two threads, you'll have much better perf by splitting the array in half versus splitting on odd versus evens.
Thank you. I think I will give the asyncs a try first. The memory locality hint was very helpful. I'll be sure to consider that.
(The reason for my question is that I'm starting out to build a data mining calculation engine in F#)
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Hello,
I'm very new to both functional programming and F# and I have a question regarding parallelization.
I want to create a proximity matrix containing the distances between a large number of vectors using some simple metric (squared euclidian distance most probably). Since the calcs are pairwise independent, I guess I can speed up thing by executing the calcs in parallel. What technology do I choose for this task, so that I dont drown in the overhead of the parallelization since the calcs themselves are so small. Any hints would be very helpful.
Thanks!
Rickard