I figured out that my code is having a data-race problem with @threads. However, I cannot see what is causing the problem and how I can fix this. ### Generate deterministic sequence trial = seq_generator(sobol_n); ### Prepare a null vector to collect every vector produced in each thread vec…

But first optimize the serial version. With all those Any, doing the calculations and global scope, and a lot of intermediate allocations (like using collect unnecessarily, etc), you probably can get huge speedups without going multi-threaded at all.

You could also just do using Folds sim = Folds.map(eachcol(trial)) do col # your code from the loop body, without the pushes return [col, moments, norm] end

Data racing with @threads with "for-loop"

New to Julia

j-fu March 10, 2023, 12:23pm 2

Just see this recent thread: Behavior of threads - #29 by lmiq

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Data racing with @threads with "for-loop"

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