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

Sam September 23, 2019, 8:50pm 8

@tkluck I am running the program on a two Intel Xeon E5-2650 v3 processors (which allow for running up to 20 tasks/threads in parallel).

Topic		Replies	Views
Poor performance multiplying many (large) matrices multithreaded Performance question , linearalgebra	11	2519	July 13, 2020
Data structures for threaded computing Performance	23	2922	October 23, 2019
How to code faster parallel for loop New to Julia parallel	8	7298	January 18, 2019
Loosing performance with `Threads.@threads` for loop Performance parallel , multithreading , threads	10	729	October 7, 2021
Questions on parallel programming and Threads.@threads vs @parallel with SharedArray Julia at Scale	7	3740	December 26, 2017