# Compile CalculiX with PaStiX solver

**URL:** <https://calculix.discourse.group/t/compile-calculix-with-pastix-solver/2422>\
**Category:** Uncategorized\
**Created:** [September 29, 2024, 10:12pm UTC](https://calculix.discourse.group/t/compile-calculix-with-pastix-solver/2422 "2024-09-29T22:12:42Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![teofil75](https://yyz2.discourse-cdn.com/free1/user_avatar/calculix.discourse.group/teofil75/32/3276_2.png) [@teofil75](https://calculix.discourse.group/u/teofil75)\
**Post date:** [September 29, 2024, 10:12pm UTC](https://calculix.discourse.group/t/compile-calculix-with-pastix-solver/2422/1 "2024-09-29T22:12:42Z")

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CalculiX 2.22 is compatible with PaStiX v6.4.0.  
If unsure, which is the supported PaStiX version for CalculiX 2.22?

Alex

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**Author:** ![rafal.brzegowy](https://avatars.discourse-cdn.com/v4/letter/r/a9adbd/32.png) [@rafal.brzegowy](https://calculix.discourse.group/u/rafal.brzegowy)\
**Post date:** [September 30, 2024, 6:14am UTC](https://calculix.discourse.group/t/compile-calculix-with-pastix-solver/2422/2 "2024-09-30T06:14:37Z")

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At the moment only a special modified version (6.0.1): [GitHub - Dhondtguido/PaStiX4CalculiX](https://github.com/Dhondtguido/PaStiX4CalculiX)

but, see this:

> **[GitHub - Kabbone/CalculiX at pastix-6.4.0](https://github.com/Kabbone/CalculiX/tree/pastix-6.4.0)**
>
> pastix-6.4.0

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<div class="post-metadata">

**Author:** ![teofil75](https://yyz2.discourse-cdn.com/free1/user_avatar/calculix.discourse.group/teofil75/32/3276_2.png) [@teofil75](https://calculix.discourse.group/u/teofil75)\
**Post date:** [November 29, 2024, 3:39pm UTC](https://calculix.discourse.group/t/compile-calculix-with-pastix-solver/2422/3 "2024-11-29T15:39:18Z")

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Hello Rafal,  
I was able to compile CalculiX with the modified version of PaStiX 6.0.1 from Guido’s GitHub, but without CUDA.  
The link about Kabbone that you sent me—is it a new version that supports the latest PaStiX version 6.4?  
In the tests I performed, I always observed that Pardiso from MKL is twice as fast as PaStiX. Moreover, the PaStiX solver shows a 20% variation in performance time across multiple runs on the same model!