For those sorts of scientific simulations, you probably want to use the MPI.jl package rather than the built-in parallelism – at least that’s the conclusion I c

For those sorts of scientific simulations, you probably want to use the MPI.jl package rather than the built-in parallelism – at least that’s the conclusion I came to when I started the fluids code I’m currently working on. MPI.jl is a thin wrapper around the C interface so you end up writing your programs pretty much the same way as in C/Fortran. This type of MPI support is still a bit rough around the edges but it works, and our code runs as fast as the Fortran code it is based on (we usually scale to ~1000 cores). You get the advantage of working with a very nice, modern language, but it is pretty easy to accidentally do things that are very expensive and killing your performance, such as allocating memory inside a hot loop.