Julia

 

Julia is a high-level, high-performance dynamic programming language for numerical computing. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library. Julia‚Äôs 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.

IJulia is a browser-based graphical notebook interface to Julia.  IJulia notebooks can be used through the OnDemand interface on Bridges.  See below for instructions on setting up an IJulia notebook in OnDemand.

Documentation

Usage

To see what versions of Julia are available type

module avail julia

To see what other modules are needed, what commands are available and how to get additional help type

module help  julia

To use Julia, include a command like this in your batch script or interactive session to load the julia module:

module load julia

Be sure you also load any other modules needed, as listed by the module help julia command.

 

IJulia setup

Some setup is needed before you can use an IJulia notebook through OnDemand.

You only need to do this once.

While logged in to Bridges, request an interactive session by typing interact. Once the sesstion starts, type these commands:

module load anaconda3
module load julia
julia

When Julia starts, type

Pkg.add("IJulia")

 When you see the message that IJulia has been installed, you can end your interactive session.

Once you have done the setup, you can use IJulia through OnDemand.  Follow the instructions for JupyterHub and IJulia in the OnDemand document.