Hi, I am trying to figure out how to work with parallel computing with Julia. The documentation looks great, even for someone that has never worked with Parallel Computing (and that does not understand most of the concepts behind the documentation ;)).
Just to mention: I am working in a PC with Ubuntu. It has a 4-core processor. To run the code I describe below I am calling the julia terminal as: $ julia -p 4 I am following the documentation here: http://docs.julialang.org/en/latest/manual/parallel-computing/ For one example, specifically, I am facing some problems. In this section: http://docs.julialang.org/en/latest/manual/parallel-computing/#id2 I am trying to run the following piece of code: @everywhere advection_shared_chunk!(q, u) = advection_chunk!(q, u, myrange(q)..., 1:size(q,3)-1) function advection_shared!(q, u) @sync begin for p in procs(q) @async remotecall_wait(advection_shared_chunk!, p, q, u) end end q end q = SharedArray(Float64, (500,500,500)) u = SharedArray(Float64, (500,500,500)) #Run once to JIT-compile advection_shared!(q,u) But I am facing the following error: ERROR: MethodError: `remotecall_wait` has no method matching remotecall_wait(::Function, ::Int64, ::SharedArray{Float64,3}, ::SharedArray{Float64,3}) Closest candidates are: remotecall_wait(::LocalProcess, ::Any, ::Any...) remotecall_wait(::Base.Worker, ::Any, ::Any...) remotecall_wait(::Integer, ::Any, ::Any...) in anonymous at task.jl:447 ...and 3 other exceptions. in sync_end at ./task.jl:413 [inlined code] from task.jl:422 in advection_shared! at none:2 What am I doing wrong here? As far as I know I am just reproducing the example in the docs... or not? Thanks for any help, Charles -- Um axé! :) -- Charles Novaes de Santana, PhD https://github.com/cndesantana
