Hello, I have a question about parallelization in Julia. I am working on a Dell dual socket Xeon 5220r workstation ( 2x24 cores, 2x48 threads) running Windows 11. I was initially on Windows 10, but as this old post ( @threads uses only half the number of nthreads() - #13 by Chris_Green ) indicate…

Side comment: I’ve made some initial steps towards windows support over in Windows support by carstenbauer · Pull Request #29 · carstenbauer/ThreadPinning.jl · GitHub . If, by any chance, you’re interested in these kind of things out would be great to get your help over there. In particular because y…

Several potential problems: Too many allocations and a large pressure on the gc It is usually advised to initialize the different piece of data with the same thread pattern to be used during the computation (the data position on the different RAM banks will be closer to the different computing cor…

Update : I installed Ubuntu 22.04 in dual boot on my machine to check if the problem really came from Windows, and I have the same result under Ubuntu. Apparently, the computation time is minimal when I manually set the number of threads to about 20, and then seems to increase when I increase the n…

I tried to comment out the line “particle_path_list[particle_id] = particle_path” (so I don’t write the results to the Vector anymore) but it doesn’t change anything. I will keep this advice in mind though, thanks!

[image] fdekerme: particle_path = walk(particle_id) It seems coherent because particle_path is a vector of vector that is actually created (and allocated) by the walk function. My suggestion was a bit different and maybe cumbersome (or impossible) to implement. Replacing the walk function b…

Performance problem on dual socket Xeon under Windows 11

General Usage Performance

ederag October 16, 2022, 10:31am 4

Probably irrelevant here, since timings “vary a lot” on the workstation,
but your desktop CPU might also have faster caches than the xeon.

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Performance problem on dual socket Xeon under Windows 11

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