# About In-line-fft

**URL:** <https://discourse.julialang.org/t/about-in-line-fft/105340>\
**Category:** Performance\
**Tags:** question, fftw\
**Created:** [October 24, 2023, 7:41am UTC](https://discourse.julialang.org/t/about-in-line-fft/105340 "2023-10-24T07:41:20Z")\
**Posts on this page:** 1\
**Showing post:** 4

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**Author:** ![nilshg](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/nilshg/32/2283_2.png) [@nilshg](https://discourse.julialang.org/u/nilshg)\
**Post date:** [October 24, 2023, 9:25am UTC](https://discourse.julialang.org/t/about-in-line-fft/105340/4 "2023-10-24T09:25:15Z")

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In that case I suppose you will have to start profiling your code to see where the time is spent and allocations are coming from using something like

> **[Profiling · The Julia Language](https://docs.julialang.org/en/v1/manual/profile/)**
>
> Documentation for The Julia Language.

> **[GitHub - JuliaPerf/PProf.jl: Export Julia profiles to the pprof format](https://github.com/JuliaPerf/PProf.jl)**
>
> Export Julia profiles to the pprof format

Here’s a whole recent thread on profiling allocations:

> [@I can't help but think debugging memory allocations shouldn't be this hard](https://discourse.julialang.org/t/i-cant-help-but-think-debugging-memory-allocations-shouldnt-be-this-hard/105042):
>
> I do julia --track-allocation=user b.jl The relevant report here is: and [image] How does this make sense?

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_[View the full topic](https://discourse.julialang.org/t/about-in-line-fft/105340)._