Julia: Difference between revisions

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{|<!--CONFIGURATION: REQUIRED-->
{|<!--CONFIGURATION: REQUIRED-->
|{{#vardefine:app|julia}}
|{{#vardefine:app|julia}}
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<!--Run-->
<!--Run-->
{{#if: {{#var: exe}}|==Additional Information==
{{#if: {{#var: exe}}|==Additional Information==
===Package Installation===
After loading the julia environment module you can add packages to your personal Julia environment with Pkg. E.g.


If you encounter an SSL certificate issue when installing a Julia package with Pkg add 'insecure' to ~/.curlrc file. E.g.
$ module load julia
$ julia
> using Pkg
> Pkg.add("CSV")


  $ echo 'insecure' >> ~/.curlrc
===Jupyter Kernel===
 
  To create a personal Julia Jupyter kernel load the julia environment module and add the 'IJulia' package.
|}}
Pkg.add("IJulia")
The kernel should be visible in your new jupyterlab session after a successful installation.
}}
<!--PBS scripts-->
<!--PBS scripts-->
{{#if: {{#var: pbs}}|==PBS Script Examples==
{{#if: {{#var: pbs}}|==PBS Script Examples==
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=Validation=
* Validate 4/5/2018

Latest revision as of 20:49, 21 October 2022

Description

julia website  

Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library. Julia’s Base library, largely written in Julia itself, also integrates mature, best-of-breed open source C and Fortran libraries for linear algebra, random number generation, signal processing, and string processing. In addition, the Julia developer community is contributing a number of external packages through Julia’s built-in package manager at a rapid pace. IJulia, a collaboration between the IPython and Julia communities, provides a powerful browser-based graphical notebook interface to Julia.

Environment Modules

Run module spider julia to find out what environment modules are available for this application.

System Variables

  • HPC_JULIA_DIR - installation directory
  • HPC_JULIA_BIN - executable directory
  • HPC_JULIA_MAN - manual directory

Additional Information

Package Installation

After loading the julia environment module you can add packages to your personal Julia environment with Pkg. E.g.

$ module load julia
$ julia
> using Pkg
> Pkg.add("CSV")

Jupyter Kernel

To create a personal Julia Jupyter kernel load the julia environment module and add the 'IJulia' package.
Pkg.add("IJulia")

The kernel should be visible in your new jupyterlab session after a successful installation.