Hey everyone! 
I am trying to scale up some of my models for larger simulations. I am facing memory usage issues that are slowing things down. Also I have tried optimizing some tasks but the memory consumption still spikes when the model complexity increases.
Anyone here have some experience or best practices for reducing memory footprint in OpenMOLE? I have heard things like task grouping, simplifying models or using specific memory-efficient algorithms but would love advice or tips from the community.
Also, are there any cool tricks to keep performance stable when running multiple models in parallel?
Also i have check this article and resorse https://discourse.iscpif.fr/t/best-practices-for-optimizing-memory-usage-in-large-scale-openmole-modelstableau witch is good.
Thank you…