📂Julia

Distributed Computing in Julia

Overview

In Julia, this introduces how to schedule computations across multiple devices¹. Honestly, I’m not quite sure myself.

Code

using Distributed

ip_ = []
for last in [160,161,162,163,164,32,33,34,35,36,43,44,45,46,47]
    push!(ip_, join([155,230,211,last],'.'))
end
sort!(ip_)

for ip in ip_
    addprocs([("chaos@" * ip, 8)];  dir ="/home/chaos", exename = "julia") #add slave node\'s workers
    println("ip $ip" * " passed")
end
nworkers()

@everywhere function f(n)
    return n^2 - n 
end

A = pmap(f,1:20000)

X = []
@async @distributed for i in 1:200
    print(f(i))
    push!(X, f(i))
end

pmap works well, but @distributed does not.

Environment

• OS: Windows
• julia: v1.7.0