Hi Kristoffer, sorry for the delay and thanks for the code. What I want to do is very simple: I have an expensive loop for i=1:N such that each iteration is independent and produces a large array of size M. The result of this loop is a matrix of size MxN. I have many CPU cores at my disposal and want to distribute this work.
In the past I accomplished that with MPI in Python: https://github.com/juliohm/HUM/blob/master/pyhum/utils.py Whenever a process in the pool is free it "consumes" an iteration of the loop. What exactly the @parallel macro in Julia is doing? How can I modify the code I previously posted in this thread to achieve such effect? -Júlio
