# Interval arithmetic - computation time

**URL:** <https://discourse.julialang.org/t/interval-arithmetic-computation-time/14633>\
**Category:** Numerics\
**Tags:** intervals\
**Created:** [September 6, 2018, 5:58pm UTC](https://discourse.julialang.org/t/interval-arithmetic-computation-time/14633 "2018-09-06T17:58:07Z")\
**Posts on this page:** 1\
**Showing post:** 12

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**Author:** ![rdeits](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/rdeits/32/286_2.png) [@rdeits](https://discourse.julialang.org/u/rdeits)\
**Post date:** [September 6, 2018, 10:08pm UTC](https://discourse.julialang.org/t/interval-arithmetic-computation-time/14633/12 "2018-09-06T22:08:58Z")

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Also, if you see performance issues with `@threads` (for example, if removing it actually makes your code faster), then you’re probably running into [performance of captured variables in closures · Issue #15276 · JuliaLang/julia · GitHub](https://github.com/JuliaLang/julia/issues/15276) . There’s some discussion of the issue here: [Parallelizing for loop in the computation of a gradient - #7 by tkoolen](https://discourse.julialang.org/t/parallelizing-for-loop-in-the-computation-of-a-gradient/9154/7) as well.

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