# Recommendations to parallelize "MultistartOptimization.jl"

**URL:** https://discourse.julialang.org/t/recommendations-to-parallelize-multistartoptimization-jl/102087
**Category:** New to Julia
**Tags:** multithreading, distributed, optimization
**Created:** [July 25, 2023, 6:21pm UTC](https://discourse.julialang.org/t/recommendations-to-parallelize-multistartoptimization-jl/102087 "2023-07-25T18:21:00Z")
**Posts on this page:** 1
**Page:** 1

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### Author: ![Zerosum](https://avatars.discourse-cdn.com/v4/letter/z/b2d939/32.png) [@Zerosum](https://discourse.julialang.org/u/Zerosum)
#### Post date: [July 25, 2023, 6:21pm UTC](https://discourse.julialang.org/t/recommendations-to-parallelize-multistartoptimization-jl/102087/1 "2023-07-25T18:21:00Z")

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I’ve recently found this amazing package, and I wondered what would be a good strategy to parallelize the optimization process under the package.

I have 17 parameters for the optimization, and I’ve been trying to use SAMIN in Optim.jl with multiple-cores and multiple-threading. I would like to compare the performance.

My understanding of the package is that it randomly picks up given a Sobol sequence and find a reasonable regions to be locally searched. If this is correct, is the way to parallelize just launching the same code (e.g., multistart\_minimization(multistart\_method, local\_method, P)) on several distributed cores without adding any configuration?