Idk, managing to actually dispatch the parallel tasks of my #Julialang code to the cores of Leonardo at CINECA (currently 4th HPC machine in the world), by calling the slurm task manager with ClusterManagers.jl (👉 https://github.com/JuliaParallel/ClusterManagers.jl) feels very good.
My routine is not meant to scale on more than 32 cores at the moment; however it means that I should be able to effectively use Julia also for massive parallel postprocessing on the computing nodes.
👍 @julialang #astrodon#astronomy
