Julia
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.