Parallel code in Julia with threads

Bence Komarniczky
Level Up Coding
Published in
7 min readDec 9, 2022

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The easiest way to make your code faster: ThreadsX.jl

I have been following the Julia language since around 2014 or so. One of the most enticing things about Julia is that it was built for multi-core machines from its inception (using joblib in Python is such a nightmare…). But lately, the multi-threaded capabilities of the language have gotten even better, so I took some time to explore what you can do with Julia and some extra cores in 2022.

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Data scientist building ML products in ad-tech. I write tutorials on data science🧑‍🔬, machine learning 🤖, Julia and cloud computing ☁️.