Hi! I am currently writing a program that looks something like this Threads.@threads for i = 1:m a[m] = f(args, matrix[:,:,m]) end Where f is a function that runs some calculations, matrix is a large (e.g. 3000x200xm) matrix, and args some other inputs. The problem I have is that I don’t o…

Shared-memory parallelization with large matrix

tkluck September 23, 2019, 7:48pm 7

What kind of machine are you running this on? You’ll need cpu cores to run those threads.

Topic		Replies	Views
Large allocations using @Threads.threads in a loop leads to slow down New to Julia multithreading	17	1097	August 19, 2023
Poor performance multiplying many (large) matrices multithreaded Performance question , linearalgebra	11	2557	July 13, 2020
Loosing performance with `Threads.@threads` for loop Performance parallel , multithreading , threads	10	748	October 7, 2021
Best way to parallelize Julia at Scale parallel , linearalgebra , sparse	12	1433	August 25, 2022
A question about parallel performance in multithreading Performance question , performance , multithreading	10	720	May 12, 2022