# DifferentialEquations.jl+MPI.jl+PencilArrays.jl: Lack of scaling observed

**URL:** <https://discourse.julialang.org/t/differentialequations-jl-mpi-jl-pencilarrays-jl-lack-of-scaling-observed/122998>\
**Category:** Julia at Scale\
**Tags:** mpi, differentialequation\
**Created:** [November 23, 2024, 7:11pm UTC](https://discourse.julialang.org/t/differentialequations-jl-mpi-jl-pencilarrays-jl-lack-of-scaling-observed/122998 "2024-11-23T19:11:46Z")\
**Posts on this page:** 1\
**Page:** 2

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**Author:** ![mmesiti](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/mmesiti/32/213667_2.png) [@mmesiti](https://discourse.julialang.org/u/mmesiti)\
**Post date:** [December 13, 2024, 2:43pm UTC](https://discourse.julialang.org/t/differentialequations-jl-mpi-jl-pencilarrays-jl-lack-of-scaling-observed/122998/21 "2024-12-13T14:43:54Z")

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I made a draft PR ([Added threading to ABM algorithms using @.. by mmesiti · Pull Request #2556 · SciML/OrdinaryDiffEq.jl · GitHub](https://github.com/SciML/OrdinaryDiffEq.jl/pull/2556)) with those changes.  
No arrogance meant.  
I could have limited myself only to VCABM, but for consistency I added the threading argument to every method using the `@..` macro.

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