Re-export localindexes [ci skip]

base/exports.jl

@@ -1243,6 +1243,7 @@ export
 # shared arrays
     sdata,
     indexpids,
+    localindexes,
 
 # paths and file names
     abspath,

doc/manual/parallel-computing.rst

@@ -509,7 +509,7 @@ Here's a brief example:
    3
    4
 
-  julia> S = SharedArray(Int, (3,4), init = S -> S[Base.localindexes(S)] = myid())
+  julia> S = SharedArray(Int, (3,4), init = S -> S[localindexes(S)] = myid())
   3x4 SharedArray{Int64,2}:
    2  2  3  4
    2  3  3  4
@@ -524,7 +524,7 @@ Here's a brief example:
    2  3  3  4
    2  7  4  4
 
-:func:`Base.localindexes` provides disjoint one-dimensional ranges of indexes,
+:func:`localindexes` provides disjoint one-dimensional ranges of indexes,
 and is sometimes convenient for splitting up tasks among processes.
 You can, of course, divide the work any way you wish:
 

doc/stdlib/parallel.rst

@@ -383,8 +383,8 @@ General Parallel Computing Support
     Execute an expression on all processes. Errors on any of the processes are
     collected into a `CompositeException` and thrown.
 
-Shared Arrays (Experimental, UNIX-only feature)
------------------------------------------------
+Shared Arrays
+-------------
 
 .. function:: SharedArray(T::Type, dims::NTuple; init=false, pids=Int[])
 
@@ -412,6 +412,17 @@ Shared Arrays (Experimental, UNIX-only feature)
    Returns the index of the current worker into the ``pids`` vector, i.e., the list of workers mapping
    the SharedArray
 
+.. function:: localindexes(S::SharedArray)
+
+   A range describing the "default" indexes to be handled by the local
+   process.  This range should be interpreted in the sense of linear
+   indexing, i.e., as a sub-range of 1:length(S).
+   Returns an empty range if no local part exists on the calling process.
+
+   All indexes should be equally fast for each worker process;
+   ``localindexes`` exists purely as a convenience, and you can
+   partition work on the array among workers any way you wish.
+
 Cluster Manager Interface
 -------------------------
     This interface provides a mechanism to launch and manage Julia workers on different cluster environments.