Parallel mapreduce and other helpful functions for HPC, meant primarily for embarassingly parallel operations that often require one to split up a list of tasks into subsections that may be processed on individual cores.
Install the package using
pkg> add ParallelUtilities
julia> using ParallelUtilitiesJust replace mapreduce by pmapreduce in your code and things should work the same.
julia> @everywhere f(x) = (sleep(1); x^2); # some expensive calculation
julia> nworkers()
2
julia> @time mapreduce(f, +, 1:10) # Serial
10.021436 seconds (40 allocations: 1.250 KiB)
385
julia> @time pmapreduce(f, +, 1:10) # Parallel
5.137051 seconds (863 allocations: 39.531 KiB)
385See the documentation for examples and the API.