ThreadedIterables.jl

This package adds multi-threaded versions of functions operating on collections. Currently, the package contains the functions foreach, map, reduce, mapreduce, mapfoldl, mapfoldr.

The simplest way to use the package is the @threaded macro, which converts all the supported functions in the expression to their multi-threaded equivalents.

Example:

julia> using ThreadedIterables

julia> a = rand(1:10, 4)
4-element Array{Int64,1}:
  4
  7
 10
  7

julia>@threaded map(x -> 2x, a)
4-element Array{Int64,1}:
  8
 14
 20
 14

Alternatively, the multi-threaded functions can be used directly - tforeach instead of foreach, tmap instead of map etc. Note that for mapreduce, there are actually 3 options: tmapreduce, maptreduce and tmaptreduce. These functions differ in whether the mapping part, the reduction part, or both of them are multi-threaded.