Difference between revisions of "Julia"

Latest revision as of 20:49, 21 October 2022

Description

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.

@@ Line 33: / Line 33: @@
 <!--Run-->
 {{#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.
-After loading julia with <code>ml julia</code> from HPG, you can add packages such as iJulia to create personal kernels with the following commands.
+ $ module load julia
+ $ julia
+ > using Pkg
+ > Pkg.add("CSV")
-  julia
+===Jupyter Kernel===
+  To create a personal Julia Jupyter kernel load the julia environment module and add the 'IJulia' package.
- using Pkg
   Pkg.add("IJulia")
+The kernel should be visible in your new jupyterlab session after a successful installation.
-The directory that was created can be tested through commands such as:
- using Pkg
- Pkg.add("DataFrames")
- Pkg.add("CSV")
- Pkg.add("Plots")
-Launch a Jupyter session and you should be set!
 }}
 <!--PBS scripts-->