Exploiting parallel Julia's auto-global shipping from inside functions and other submodules?

[jling]

Related behavior sometimes can cause headache:

How to NOT interpolate on remote worker?

julia> using Distributed julia> addprocs(2); julia> @everywhere a = [1,2] julia> @everywhere println(a) [1, 2] From worker 3: [1, 2] From worker 2: [1, 2] julia> a = 5 5 julia> @everywhere println(a) 5 From worker 2: [1, 2] From worker 3: [1, 2] julia> @fetchfrom 3 a[2] ERROR: On worker 3: BoundsError Stacktrace: julia> @everywhere println(a) 5 From worker 2: [1, 2] From worker 3: 5 this above behavior is weird, how do I access the a …

So I don’t think it’s a good idea to be too automatic about this