Julia: how to run embarrassingly parallel jobs with nested for loops?

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5

I think I got close to what I wanted using a combination of Threads.@spawn and @sync in the outer loop to wait for the results of each thread before continuing.

for t in 1:10  # Say we want to do the full parallelized process 10 times
    results_matrix = zeros(2,2)
    @sync for i in 1:2
        for j in 1:2
            Threads.@spawn begin
                results_matrix[i, j] = remote_computation()
            end
        end
    end
end

I do not observe the 4 CPUs at 100% though and still some threads are being used several times for the same parallelized iteration.

PS : I used a real remote computation function that does not use sleep as you suggested.