Julia: Difference between revisions
IA migration §5: new Julia page (P2.11) (via create-page on MediaWiki MCP Server) |
Add table with Julia versions for every bucket |
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<syntaxhighlight lang="bash"> | <syntaxhighlight lang="bash"> | ||
module load 2024 | module load 2024 | ||
module load Julia | module load Julia/1.11.6 | ||
</syntaxhighlight> | </syntaxhighlight> | ||
To see which versions are available, use <code>module | To see which versions are available, use <code>module key Julia</code> (see [[Environment Modules]]). | ||
There is at least one version of Julia installed in each bucket: | |||
{| class="wikitable" | |||
|+ | |||
!Bucket | |||
!Julia Version | |||
|- | |||
|2023 | |||
|1.11.3 | |||
|- | |||
|2024 | |||
|1.11.6 | |||
|- | |||
|2025 | |||
|1.12.3 | |||
|} | |||
== Packages == | == Packages == | ||
Latest revision as of 12:51, 11 August 2026
Julia is a high-level, high-performance language for technical computing. This page covers using Julia on Anunna.
Loading Julia
Julia is provided through the module system. Load a bucket first, then Julia:
module load 2024
module load Julia/1.11.6
To see which versions are available, use module key Julia (see Environment Modules).
There is at least one version of Julia installed in each bucket:
| Bucket | Julia Version |
|---|---|
| 2023 | 1.11.3 |
| 2024 | 1.11.6 |
| 2025 | 1.12.3 |
Packages
Julia manages its own packages with the built-in package manager (Pkg). By default packages install into your home directory under ~/.julia. Because home is small and not meant for heavy I/O, point Julia's depot at a larger Lustre location by setting JULIA_DEPOT_PATH before starting Julia:
export JULIA_DEPOT_PATH=/lustre/nobackup/<group>/<user>/julia_depot
Then add packages from the Julia REPL:
import Pkg
Pkg.add("DataFrames")
Running Julia in a job
Run Julia scripts as batch jobs through the scheduler — see Batch Jobs. For interactive work, start an interactive job first.
To use multiple cores, start Julia with the -t (threads) option, or use Julia's distributed/parallel facilities — see Performance Optimization/Multiple CPUs:
julia -t $SLURM_CPUS_PER_TASK myscript.jl