Remove mtjulia script

Author: oschulz

docs/src/index.md

@@ -107,15 +107,6 @@ workers() == @onprocs workers() myid()
 Note: If the data can be expressed in terms of a `DistributedArrays.DArray`, it may be more appropriate and convenient to use the multiprocess execution tooling available in the package `DistributedArrays` (possibly combined with `ParallelProcessingTools.@onthreads`).
 
 
-## Creating multithreaded workers
-
-Julia currently doesn't provide an easy way to start multithreaded remote worker instances. `ParallelProcessingTools` provides a script `mtjulia.sh` (currently Linux-only) that will start Julia with `$JULIA_NUM_THREADS` set to a suitable value for each worker host (currently the number of physical processes on one NUMA node). `mtjulia_exe()` will return the absolute path to `mtjulia.sh`. So multithreaded workers can be spawned (via SSH) like this:
-
-```julia
-addprocs([hostname1, ...], exename = mtjulia_exe())
-```
-
-
 ### Example use case: 
 
 As a simple real-world use case, let's histogram distributed data on multiple processes and threads:
@@ -124,7 +115,7 @@ Set up a cluster of multithreaded workers and load the required packages:
 
 ```julia
 using Distributed, ParallelProcessingTools
-addprocs(["hostname1", ...], exename = mtjulia_exe())
+addprocs(2)
 @everywhere using ParallelProcessingTools, Base.Threads,
     DistributedArrays, Statistics, StatsBase
 ```

src/onprocs.jl

@@ -56,15 +56,3 @@ macro mp_async(expr)
     end
 end
 export @mp_async
-
-
-function mtjulia_exe()
-    if Sys.islinux()
-        joinpath(@__DIR__, "..", "bin", "mtjulia.sh")
-    else
-        # No equivalent for "mtjulia.sh" implemented for non-Linux systems yet,
-        # return default exename:
-        joinpath(Sys.BINDIR, Base.julia_exename())
-    end
-end
-export mtjulia_exe

test/test_onprocs.jl

@@ -44,12 +44,6 @@ using Distributed
         end
     end
 
-    @testset "mtjulia_exe" begin
-        if Sys.islinux()
-            @test fetch(@spawnat first(workers()) nthreads()) > 1
-        end
-    end
-
     @testset "Examples" begin
         @test begin
             workers() == (@onprocs workers() myid())

test/test_readme_examples.jl

@@ -12,7 +12,7 @@ end
 @testset "workpartition" begin
     @testset "parallel histogramming" begin
         using Distributed, ParallelProcessingTools
-        addprocs(2, exename = mtjulia_exe())
+        addprocs(2)
         @everywhere using ParallelProcessingTools, Base.Threads,
             DistributedArrays, Statistics, StatsBase