Julia

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

If you encounter an SSL certificate issue when installing a Julia package with Pkg you can work around the issue by adding an 'insecure' line to the curl initialization file ~/.curlrc file. Do this if you trust the package source. E.g.

$ echo 'insecure' >> ~/.curlrc

Julia installs packages to your home directory. This means that all of the packages are manual self installs. Follow the basic Julia installation steps

using Pkg
Pkg.add("name")

Using Julia in Jupyter

Download Julia

As of May 2022, there is a bug in the Julia available via conda, so download the binary from https://julialang.org/downloads/ you want the 64-bit (glibc) version of the current stable release.

1. Log into HiPerGator
2. Download the latest version of Julia, this command was from May 2022: wget https://julialang-s3.julialang.org/bin/linux/x64/1.7/julia-1.7.3-linux-x86_64.tar.gz
3. Extract the zip file: tar xvf julia-1.7.3-linux-x86_64.tar.gz
4. Test that Julia works: julia-1.7.3/bin/julia

Install IJulia

You will need IJulia to use Julia in a Jupyter Notebook.

1. Open your Julia application: julia-1.7.3/bin/julia
2. Using the directions from IJulia:

using Pkg
Pkg.add("IJulia")

Installing IJulia will create a kernel file for you at ~/.local/share/jupyter/kernels.

Launch a Jupyter session and you should be set!

Validation

• Validate 4/5/2018