Difference between revisions of "Julia"
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Revision as of 20:44, 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
After loading julia with ml julia
from HPG, you can add packages such as iJulia to create personal kernels with the following commands.
julia using Pkg Pkg.add("IJulia")
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!