# Ocassional precompile error on a cluster using julia1.8

**URL:** <https://discourse.julialang.org/t/ocassional-precompile-error-on-a-cluster-using-julia1-8/82050>\
**Category:** General Usage\
**Tags:** question, precompilation\
**Created:** [June 1, 2022, 11:28am UTC](https://discourse.julialang.org/t/ocassional-precompile-error-on-a-cluster-using-julia1-8/82050 "2022-06-01T11:28:56Z")\
**Posts on this page:** 1\
**Showing post:** 9

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**Author:** ![stp](https://avatars.discourse-cdn.com/v4/letter/s/cdc98d/32.png) [@stp](https://discourse.julialang.org/u/stp)\
**Post date:** [September 21, 2022, 7:05am UTC](https://discourse.julialang.org/t/ocassional-precompile-error-on-a-cluster-using-julia1-8/82050/9 "2022-09-21T07:05:48Z")

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Thank you so much for the insight. It seems you are right about the 300 being a user limit. I admit, I don’t understand our setup very thoroughly as this is the first time it has become necessary for me to dig into it. Here are my `ulimit -a` results for reference:

> **ulimit -a**
>
> ```julia
> core file size (blocks, -c) 0
> data seg size (kbytes, -d) unlimited
> scheduling priority (-e) 0
> file size (blocks, -f) unlimited
> pending signals (-i) 1030093
> max locked memory (kbytes, -l) 64
> max memory size (kbytes, -m) unlimited
> open files (-n) 1024
> pipe size (512 bytes, -p) 8
> POSIX message queues (bytes, -q) 819200
> real-time priority (-r) 0
> stack size (kbytes, -s) 8192
> cpu time (seconds, -t) unlimited
> max user processes (-u) 300
> virtual memory (kbytes, -v) 31309824
> 
> ```

I think we each have our own Linux user. When I run `ps -A -o uid | sort | uniq` I can see group members have their own username/uid output. When we first started encountering the thread limit issue (it was showing up for R users as well) we upped the max user processes from from 200 to 300. It didn’t seem to me that I would hit a limit of 300 as a single user precompiling in Julia, so I’m still confused about getting these OpenBLAS resource errors, especially when I have set `LinearAlgebra.BLAS.set_num_threads()`. Is there anything else I can pursue from the Julia side of things to resolve/avoid this issue?

I have very limited understanding of the rationale behind our shared resource settings, but I will mention your suggestion of limiting cpu time rather than user processes as a potential solution from the server side.

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