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

Topic		Replies	Views
Multi-threading changing results New to Julia	18	3810	August 21, 2020
Help with Julia multithreading General Usage question , multithreading	9	500	January 23, 2024
Threads.@threads ~44 times slower than single threaded code Performance threads	8	704	September 14, 2022
Multithreading a over a double for-loop with arrays Performance parallel , multithreading	6	274	June 23, 2025
Multithreading inconsistency issue General Usage multithreading	4	370	May 26, 2021

Data racing with @threads with "for-loop"

Related topics