High RAM usage

[Joao_Barata]

For those who may be struggling with similar issues, I solved my problem. The problem was with using SharedArrays. In my example code, I have a function model_compute, which is iterated on and creates SharedArrays each time it is run. Unlike Arrays, these do not seem to be eliminated once the function has run, which means they continue to occupy space in memory. Therefore, I create the SharedArrays once, pass them to the function model_compute!, which updates them in place, as per @Sukera’s suggestion:

@Sukera

So most operations on arrays ( a = b + c where b and c are vectors) will allocate the result, which is bound to the name a . If a is already bound to another array (I’ll call it _a so we have a name), _a is not modified in place - this would be done with a .= b + c , which copies the result to _a . However, this still allocates the result of b + c . To combine the loop doing addition inside + with the loop copying to a , add another dot: a .= b .+ c (or equivalently, @. a = b + c , which places dots at all function calls and assignments).

This takes care of the RAM problem.