JUSTUS2/Software/Julia - Revision history

M Carmesin: /* Introduction */

2025-05-12T09:54:30Z

Introduction

← Older revision		Revision as of 11:54, 12 May 2025
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	== Introduction ==		== Introduction ==

	Julia is a high-level, high-performance, dynamic programming language, being designed with scientific computing in mind. Parallel programming features, such as multi-threading are included in the core language, while there also ~~exit~~ packages leveraging the power of MPI and CUDA.		Julia is a high-level, high-performance, dynamic programming language, being designed with scientific computing in mind. Parallel programming features, such as multi-threading are included in the core language, while there also exist packages leveraging the power of MPI and CUDA.

	There are no packages preinstalled besides the Julia language core, please use the Julia package manager to install any required Julia package.		There are no packages preinstalled besides the Julia language core, please use the Julia package manager to install any required Julia package.

	The Julia module on Justus loads suitable versions of CUDA and OpenMPI and the corresponding Julia packages CUDA.jl and MPI.jl will be automatically configured to use these libraries after being installed by the user. Any changes, either by loading modules with different MPI and/ or CUDA versions as well as using the ones that come as Julia artifacts are likely to lead to errors.		The Julia module on Justus loads suitable versions of CUDA and OpenMPI and the corresponding Julia packages CUDA.jl and MPI.jl will be automatically configured to use these libraries after being installed by the user. Any changes, either by loading modules with different MPI and/ or CUDA versions as well as using the ones that come as Julia artifacts are likely to lead to errors.

	== Environments and Package Installation ==		== Environments and Package Installation ==

M Carmesin: /* Further documentation */

2025-01-07T08:56:08Z

Further documentation

← Older revision		Revision as of 10:56, 7 January 2025
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	== Further documentation ==		== Further documentation ==

	* [https://modernjuliaworkflows.org Modern Julia Workflows] A collection of best practices		* [https://modernjuliaworkflows.org Modern Julia Workflows]: A collection of best practices

	* [https://github.com/carstenbauer/JuliaHLRS24 Julia Workshop at HLRS]: The material of this workshop is in large parts also valid for the Justus cluster (on Justus you only need the module math/julia).		* [https://github.com/carstenbauer/JuliaHLRS24 Julia Workshop at HLRS]: The material of this workshop is in large parts also valid for the Justus cluster (on Justus you only need the module math/julia).

M Carmesin: /* Further documentation */

2025-01-07T08:55:59Z

Further documentation

← Older revision		Revision as of 10:55, 7 January 2025
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	== Further documentation ==		== Further documentation ==

	* [https://modernjuliaworkflows.org Modern Julia Workflows]		* [https://modernjuliaworkflows.org Modern Julia Workflows] A collection of best practices

	* [https://github.com/carstenbauer/JuliaHLRS24 Julia Workshop at HLRS]: The material of this workshop is in large parts also valid for the Justus cluster (on Justus you only need the module math/julia).		* [https://github.com/carstenbauer/JuliaHLRS24 Julia Workshop at HLRS]: The material of this workshop is in large parts also valid for the Justus cluster (on Justus you only need the module math/julia).

M Carmesin: /* Further documentation */

2025-01-07T08:54:54Z

Further documentation

← Older revision		Revision as of 10:54, 7 January 2025
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	== Further documentation ==		== Further documentation ==

			* [https://modernjuliaworkflows.org Modern Julia Workflows]

	* [https://github.com/carstenbauer/JuliaHLRS24 Julia Workshop at HLRS]: The material of this workshop is in large parts also valid for the Justus cluster (on Justus you only need the module math/julia).		* [https://github.com/carstenbauer/JuliaHLRS24 Julia Workshop at HLRS]: The material of this workshop is in large parts also valid for the Justus cluster (on Justus you only need the module math/julia).

M Carmesin at 13:07, 5 November 2024

2024-11-05T13:07:32Z

← Older revision		Revision as of 15:07, 5 November 2024
Line 31:		Line 31:

	The Julia module on Justus loads suitable versions of CUDA and OpenMPI and the corresponding Julia packages CUDA.jl and MPI.jl will be automatically configured to use these libraries after being installed by the user. Any changes, either by loading modules with different MPI and/ or CUDA versions as well as using the ones that come as Julia artifacts are likely to lead to errors.		The Julia module on Justus loads suitable versions of CUDA and OpenMPI and the corresponding Julia packages CUDA.jl and MPI.jl will be automatically configured to use these libraries after being installed by the user. Any changes, either by loading modules with different MPI and/ or CUDA versions as well as using the ones that come as Julia artifacts are likely to lead to errors.

			== Environments and Package Installation ==

			It is highly recommended to use an separate Julia environment for every project. If Julia is started with the option <code>--project=.</code> the current folder will be used as environment and the <code>Project.toml</code> file containing the information on the installed packages will be created, if not yet present.

			In an interactive Julia session, the [https://pkgdocs.julialang.org/v1/getting-started/#Basic-Usage package manager] is activated by entering <code>]</code>. The most importent commands are
			* <code>add PACKAGENAME</code> install package PACKAGENAME in the current environment
			* <code>instantiate</code>: install all packages with dependencies as stated in Project.toml and Manifest.toml, e.g. after copying the existing code to the cluster
			* <code>activate PATH_TO_ENV</code>: use the environment located at the path <code>PATH_TO_ENV</code> and initialize it, if necessary.


	== Interactive Example ==		== Interactive Example ==

M Carmesin: /* Tips & Tricks */

2024-11-05T12:26:53Z

Tips & Tricks

← Older revision		Revision as of 14:26, 5 November 2024
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	== Tips & Tricks ==		== Tips & Tricks ==

	* [[Parallel_Programming]]		* [[JUSTUS2/Software/Julia/Parallel_Programming\|Parallel Programming]]

M Carmesin: /* Tips & Tricks */

2024-11-05T12:26:09Z

Tips & Tricks

← Older revision		Revision as of 14:26, 5 November 2024
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	== Tips & Tricks ==		== Tips & Tricks ==

			* [[Parallel_Programming]]

M Carmesin at 15:31, 8 October 2024

2024-10-08T15:31:54Z

← Older revision		Revision as of 17:31, 8 October 2024
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	\|-		\|-
	\| Links		\| Links
	\| [https://julialang.org/ Project homepage] \| [https://docs.julialang.org/en/v1/ Documentation]n]		\| [https://julialang.org/ Project homepage] \| [https://docs.julialang.org/en/v1/ Documentation]
	\|-		\|-
	\| Graphical Interface		\| Graphical Interface

M Carmesin at 15:29, 8 October 2024

2024-10-08T15:29:32Z

← Older revision		Revision as of 17:29, 8 October 2024
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	</pre>		</pre>

	Enter ']' to go into package manager and install package <code>UnicodePlots</code>.		Enter ']' to go into package manager and install package [https://github.com/JuliaPlots/UnicodePlots.jl?tab=readme-ov-file <code>UnicodePlots</code>].
	<pre>		<pre>
	add UnicodePlots		add UnicodePlots

M Carmesin at 15:22, 8 October 2024

2024-10-08T15:22:32Z

← Older revision		Revision as of 17:22, 8 October 2024
Line 27:		Line 27:

	Julia is a high-level, high-performance, dynamic programming language, being designed with scientific computing in mind. Parallel programming features, such as multi-threading are included in the core language, while there also exit packages leveraging the power of MPI and CUDA.		Julia is a high-level, high-performance, dynamic programming language, being designed with scientific computing in mind. Parallel programming features, such as multi-threading are included in the core language, while there also exit packages leveraging the power of MPI and CUDA.

			There are no packages preinstalled besides the Julia language core, please use the Julia package manager to install any required Julia package.

			The Julia module on Justus loads suitable versions of CUDA and OpenMPI and the corresponding Julia packages CUDA.jl and MPI.jl will be automatically configured to use these libraries after being installed by the user. Any changes, either by loading modules with different MPI and/ or CUDA versions as well as using the ones that come as Julia artifacts are likely to lead to errors.

	== Interactive Example ==		== Interactive Example ==
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	Leave the package manager with the backspace key.		Leave the package manager with the backspace key.

	Create an vector with 64 elements set to 0 and fill it using all threads with the corresponding tread id number.		Create a vector with 64 elements set to 0 and fill it using all 8 threads with the corresponding tread id number.

	<pre>		<pre>