Centralized vs Distributed Tool Script Performance

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I’m working on a weapon system and trying to decide between two approaches for performance:

Approach 1: Centralized with task.spawn()

  • One script manages all weapons
  • Each weapon’s simulation runs in task.spawn()
  • Up to ~30 weapons could be active simultaneously

Approach 2: Individual LocalScripts

  • Each weapon tool has its own LocalScript
  • Natural distribution across script instances

My main question: Does task.spawn() provide enough performance isolation for heavy computational tasks (ballistics, recoil simulation, etc.), or do individual LocalScripts distribute load better?

Specifically wondering:

  • Do task.spawn() threads truly run concurrently or just cooperatively?
  • With 30 weapons doing frame-based calculations, which approach would perform better?

Thank you!

2

Why do you need using task.spawn for such if it doesnt even yield?
Using singular loop would be better.
Task.spawn do run on a singular core of CPU (serial in this context) you are fooling yourself if you think it gives any benefits, it does the opposite.
For true optimization you need to learn Parallel Luau and how to manage data/when to sync with sirial thread.

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