Parallel distributed processing in Julia

parallel_processing.jl

using Distributed
addprocs(2)
q = fill(rand(9), 3, 3)

@everywhere nrows = @eval size($q, 1)
@everywhere ncols = @eval size($q, 2)
for i in workers()
    @spawnat i eval(:(a = fill(0, nrows, ncols)))
end

@everywhere function add_n!(a, n)
    a[2,2] = a[2,2] .+ n
end
pmap(x -> add_n!(a, x), [1,1,1,1,1,1,1,1,1,1])

function my_sum()
    summed = fill(0, 3, 3)
    for i in workers()
        summed = summed .+ @fetchfrom i a
    end
    summed
end

my_sum()