Hello. I am investigating a behavior related to the execution of CPLEX.jl . So, let’s consider the following environment: Linux pop-os 6.4.6-76060406-generic; And Julia version 1.8.4. And the following commands: julia --threads=auto --project=. julia> include("src/run.jl") julia> runMyCplexMode…

Do you have the code for runMyCplexModel? Does it return anything? You should try include("src/run.jl") runMyCplexModel("instance_file1") GC.gc() # Force the GC to run runMyCplexModel("instance_file2")

Thanks for the comment. Do you have the code for runMyCplexModel ? Does it return anything? Yes, this is very long function, but it is a simple compact MILP formulation as the ones presented at the CPLEX.jl webpage , no callbacks, only the common flow: variables + objective function + and constra…

[image] odow: Do you have the code for runMyCplexModel? Does it return anything? You should try include("src/run.jl") runMyCplexModel("instance_file1") GC.gc() # Force the GC to run runMyCplexModel("instance_file2") Thanks, somehow it helped, the process is not being killed by the OS anymo…

Hmm i dont know if this is reproducing the original problem. Is this exactly what your real code is doing? How does your real code store solutions?

Well, my code simply returns the solution (in this case a route). You think that maybe calling value(x[i,j]) may add some “overhead”?

Does it return the model or any decision variables? Or is it just data. But anyway. If adding the GC call worked then do that. The issue seems to be CPLEX not respecting the total system memory. You could also try setting parameters like memory available for working storage Specifies…

Thanks for the comments. I updated the previous example to return the created model. using JuMP, CPLEX # https://discourse.julialang.org/t/outofmemoryerror-instead-of-allocating-too-much-resources-in-the-job-scheduler/45575/3 function get_mem_use() f::IOStream = open( "/proc/self/stat"…

I think this is just a problem with CPLEX. I dont have any suggestions other than GC.gc, unfortunately.

Memory management in CPLEX.jl

Specific Domains Optimization (Mathematical)

mike_k February 5, 2024, 9:18am 4

On Linux you can track the used memory with the function I have mentioned here.

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Memory management in CPLEX.jl

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