Distributed programming: Difference between revisions
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console.log(msg.toString())
})</lang>
=={{header|Julia}}==
Julia was designed with distributed conmputing. in particular cluster computing, as a primary use target.
If a group of CPUs, including multiple cores on a single machine or a cluster running with paswordless ssh login, is used,
the following can be set up as an example:
<pre>
--------------------------------
From Julia the 1.0 online docs. File countheads.jl available to all machines:
------------</pre><lang julia>
function count_heads(n)
c::Int = 0
for i = 1:n
c += rand(Bool)
end
c
end</lang><pre>
------------------------------------</pre>
We then run the following on the primary client:
<lang julia>
using Distributed
@everywhere include_string(Main, $(read("count_heads.jl", String)), "count_heads.jl")
a = @spawn count_heads(100000000) # runs on an available processor
b = @spawn count_heads(100000000) # runs on another available processor
println(fetch(a)+fetch(b)) # total heads of 2 million coin flips, half on each CPU
</lang> {{output}} <pre>
100001564
</pre>
=={{header|LFE}}==
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