On this one: http://www.stochasticlifestyle.com/multi-node-parallelism-in-julia-on-an-hpc/
it looks like you're running performance-critical code at global scope. If you put it in a function (and check that it's type-stable, etc), your single- threaded code might outperform your parallel version. (Of course, you can combine the two to do even better, sometimes.) See http://docs.julialang.org/en/stable/manual/performance-tips/ --Tim On Monday, February 22, 2016 11:34:20 PM Chris Rackauckas wrote: > Hey, > I wanted to let everyone know I put a few blog posts out there on Julia. > You can find them here: > > http://www.stochasticlifestyle.com/ > > I am by no means an expert on Julia, but I put some tutorials for some > ways I have been using Julia, like how to use Julia on the XSEDE Comet HPC > (which you can test out too via a startup allocation!), optimizing some FEM > codes, etc. After I publish a few things I'll get back onto this and > document some experiments I am doing like interfacing with the Xeon Phi and > writing stochastic (partial) differential equation solvers. I hope these > tutorials helps somebody out. And feel free to comment. I still have lots > to learn about Julia as well.
