These capabilities are being actively developed. Beyond the parallel section of the Julia manual, also see:
https://github.com/JuliaParallel/MPI.jl/ -viral On Saturday, January 10, 2015 at 1:29:11 AM UTC+5:30, Francis Poulin wrote: > > Hello, > > I am very new to Julia and trying to learn how to do some very basic > linear algebra in parallel. > > As a simple example I wanted to be able to define a dense matrix in > parallel and then multiply it to a vector. > > I have seen how this works in mpi4py at the following tutorial > > http://mpi4py.scipy.org/docs/usrman/tutorial.html > > and am wondering how this can be accomplished in julia. I did find a > number of posts that discussed how to do this with sparse matrices, which > seems more complicated than it should be. > > I did read about distributed arrays and that seems like it should be able > to do something along these lines but I didn't seen any examples and am > unsure of the syntax. Is this the best direction to go or is there > something else I should be looking into? > > I am sorry for asking such a simple question but would appreciate any > assistance. > > Cheers, Francis > >
