Difference between revisions of "Julia"
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− | [[Category:Software]][[Category: | + | [[Category:Software]][[Category:Language]][[Category:Programming]][[Category:Statistics]] |
{|<!--CONFIGURATION: REQUIRED--> | {|<!--CONFIGURATION: REQUIRED--> | ||
|{{#vardefine:app|julia}} | |{{#vardefine:app|julia}} | ||
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<!--CONFIGURATION: OPTIONAL (|1}} means it's ON)--> | <!--CONFIGURATION: OPTIONAL (|1}} means it's ON)--> | ||
|{{#vardefine:conf|}} <!--CONFIGURATION--> | |{{#vardefine:conf|}} <!--CONFIGURATION--> | ||
− | |{{#vardefine:exe|}} <!--ADDITIONAL INFO--> | + | |{{#vardefine:exe|1}} <!--ADDITIONAL INFO--> |
|{{#vardefine:pbs|}} <!--PBS SCRIPTS--> | |{{#vardefine:pbs|}} <!--PBS SCRIPTS--> | ||
|{{#vardefine:policy|}} <!--POLICY--> | |{{#vardefine:policy|}} <!--POLICY--> | ||
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<!--Modules--> | <!--Modules--> | ||
− | == | + | ==Environment Modules== |
− | + | Run <code>module spider {{#var:app}}</code> to find out what environment modules are available for this application. | |
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− | < | ||
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==System Variables== | ==System Variables== | ||
* HPC_{{uc:{{#var:app}}}}_DIR - installation directory | * HPC_{{uc:{{#var:app}}}}_DIR - installation directory | ||
+ | * HPC_{{uc:{{#var:app}}}}_BIN - executable directory | ||
+ | * HPC_{{uc:{{#var:app}}}}_MAN - manual directory | ||
<!--Configuration--> | <!--Configuration--> | ||
{{#if: {{#var: conf}}|==Configuration== | {{#if: {{#var: conf}}|==Configuration== | ||
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<!--Run--> | <!--Run--> | ||
{{#if: {{#var: exe}}|==Additional Information== | {{#if: {{#var: exe}}|==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. | ||
+ | }} | ||
<!--PBS scripts--> | <!--PBS scripts--> | ||
{{#if: {{#var: pbs}}|==PBS Script Examples== | {{#if: {{#var: pbs}}|==PBS Script Examples== | ||
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<!--Turn the Table of Contents and Edit paragraph links ON/OFF--> | <!--Turn the Table of Contents and Edit paragraph links ON/OFF--> | ||
__NOTOC____NOEDITSECTION__ | __NOTOC____NOEDITSECTION__ | ||
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Latest revision as of 20:49, 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
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.