Skip to content


Julia is a dynamic programming language that offers high performance while being easy to learn and develop code in.

This section contains demos (in the form of scripts and notebooks) and how-to guides for doing various things with Julia on NREL HPC environments.

Available modules#

Eagle Swift Vermilion Kestrel
julia/1.7.2 julia/1.7.2-gdp7a25 julia/1.7.2 julia/1.7.2

Julia 1.9.x does not work well on Sapphire Rapids

We advise against installing and using Julia 1.9.x on Kestrel as packages can fail to precompile and result in a segmentation fault. This is a known issue with Julia 1.9.x on Sapphire Rapids processors, possibly due to an LLVM issue. Julia 1.10 will be installed as a module once a stable release is available. Until then, please use Julia 1.7 or 1.8.


  1. Installing Julia
  2. Tour of Julia
  3. Parallel Computing in Julia
  4. Calling Python, C, and FORTRAN from Julia

Demo Scripts and Notebooks#

The following scripts and notebooks are available on the master branch of NREL/HPC to download and run,

Requirements and Installation#

Running the demos requires the python modules mpi4py and julia. For details on installing these modules, see the 'Environment Setup' section of the README found in the demos/scripts directory.

For more information on mpi4py, see the mpi4py documentation

For more information on PyJulia, see the PyJulia documentation.