# Help setting up Julia on a cluster

**URL:** <https://discourse.julialang.org/t/help-setting-up-julia-on-a-cluster/5519>\
**Category:** Julia at Scale\
**Tags:** question, parallel, cluster\
**Created:** [August 23, 2017, 4:22am UTC](https://discourse.julialang.org/t/help-setting-up-julia-on-a-cluster/5519 "2017-08-23T04:22:37Z")\
**Posts on this page:** 1\
**Showing post:** 6

<div class="post-metadata">

**Author:** ![ElOceanografo](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/eloceanografo/32/624_2.png) [@ElOceanografo](https://discourse.julialang.org/u/ElOceanografo)\
**Post date:** [August 23, 2017, 7:40pm UTC](https://discourse.julialang.org/t/help-setting-up-julia-on-a-cluster/5519/6 "2017-08-23T19:40:19Z")

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I recently went through the same learning process on my university’s cluster, and your second question was the hardest part for me. I found the easiest way was to submit to one of the queues using a PBS submit script that tells Julia where to find all the processors via the PBS nodefile. Here’s a minimum working example PBS script:

```julia
#!/bin/bash
#PBS -l nodes=4:ppn=12,walltime=00:05:00
#PBS -N test_julia
#PBS -q debug

echo PBS: node file is $PBS_NODEFILE
julia --machinefile=$PBS_NODEFILE /path/to/your/home/dir/test_julia.jl
echo "finished"

```

I called this file `test_julia.pbs`. When you submit this job (i.e., by running `qsub test_julia.pbs` from your login prompt) the Julia process starts up with all the processors (48 in this case) available, as if you’d started it on your laptop with `julia -p 2` or whatever. For completeness, here’s `test_julia.jl`, which has minimum working examples for basic batch-processing tasks:

```julia
println("Hello from Julia")
np = nprocs()
println("Number of processes: $np")

for i in workers()
    host, pid = fetch(@spawnat i (gethostname(), getpid()))
    println("Hello from process $(pid) on host $(host)!")
end

tasks = randn(np * 30)

@everywhere begin
    function foo(x)
        return x * 4
    end
end

results = pmap(foo, tasks)

println(round(results, 3))

for i in workers()
    rmprocs(i)
end

```

Hope that helps!

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