There is an MPI wrapper for Julia, I don't know if it'll suit your needs thoug:
https://github.com/JuliaParallel/MPI.jl El miércoles, 19 de agosto de 2015, 13:03:59 (UTC-5), Júlio Hoffimann escribió: > > 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 >
