Parallel julia code

[carstenbauer]

@AbdelazimHussien

function pflip_coin(times)
count = 0
@parallel (+) for i in 1:times
Int(rand(Bool))
end
end

If you look for built-in solution, only @distributed has support for parallel reductions (multiprocessing). If my memory doesn’t fail me, it was named @parallel a (very) long time ago (it doesn’t fail me). If you want a multithreading solution, you would have to write it yourself or you could use, e.g., OhMyThreads.jl

using OhMyThreads

function pflip_coin(times)
    count = @tasks for i in 1:times
        @set reducer=+
        Int(rand(Bool))
    end
end

# or, equivalently

function pflip_coin(times)
    count = treduce(+, 1:times) do i
        Int(rand(Bool))
    end
end