Parallel code in Julia with threads
Published in
7 min readDec 9, 2022
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.