# Managing Computational Complexity in Large-Scale ABMs

**URL:** <https://forum.comses.net/t/managing-computational-complexity-in-large-scale-abms/10332>\
**Category:** General Forum\
**Created:** [September 13, 2024, 10:27am UTC](https://forum.comses.net/t/managing-computational-complexity-in-large-scale-abms/10332 "2024-09-13T10:27:06Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![sotafo](https://forum.comses.net/letter_avatar_proxy/v4/letter/s/e274bd/32.png) [@sotafo](https://forum.comses.net/u/sotafo)\
**Post date:** [September 13, 2024, 10:27am UTC](https://forum.comses.net/t/managing-computational-complexity-in-large-scale-abms/10332/1 "2024-09-13T10:27:07Z")

</div>

Hello

In the context of agent-based modeling (ABM); managing computational complexity and scalability is crucial when dealing with large-scale models that involve many agents and complex interactions. This question seeks insights ; recommendations from the community on strategies and tools for efficiently handling these challenges.

What techniques have you found effective for optimizing agent-based models to run efficiently? For instance; are there specific algorithms or coding practices that help reduce computational load?

How do you approach scaling models to handle thousands ; even millions of agents? Are there any particular tools or frameworks that facilitate scalability in ABM?

What methods do you use to assess the performance of your model; and how do you identify bottlenecks? I have checked [Guide to Managing Computational Complexity in Agent-Based Models](https://forum.comses.net/t/about-the-general-forum-category/1779) [splunk](https://www.igmguru.com/big-data/splunk-training) for reference but still need help.

Have you utilized parallel computing or distributed systems to improve model performance? If so; what has been your experience?

Can you share any case studies ; examples where you’ve successfully addressed computational complexity in large-scale ABM projects?

Thank you 🙂