# Applying performance tips in library

**URL:** <https://discourse.julialang.org/t/applying-performance-tips-in-library/65452>\
**Category:** Performance\
**Created:** [July 28, 2021, 4:44pm UTC](https://discourse.julialang.org/t/applying-performance-tips-in-library/65452 "2021-07-28T16:44:37Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![rvignolo](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/rvignolo/32/33498_2.png) [@rvignolo](https://discourse.julialang.org/u/rvignolo)\
**Post date:** [July 28, 2021, 4:44pm UTC](https://discourse.julialang.org/t/applying-performance-tips-in-library/65452/1 "2021-07-28T16:44:37Z")

</div>

Hi all,

I have implemented a neutron transport particle code in julia, [NeutronTransport.jl](https://github.com/rvignolo/NeutronTransport.jl), and I want it to be as fast as possible.

Specifically, I just wanted to know if someone is interested in helping me implement:

- `@inbounds`
- `@simd`
- `@fastmath`
- `@threads`

the correct way.

The [solver](https://github.com/rvignolo/NeutronTransport.jl/blob/main/src/mocsolver.jl) is pretty straight forward and it would be great to colab with someone.

Thanks!