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        <title>100_about_the_cluster_system</title>
        <link>https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/100_about_the_cluster_system?rev=1776670576&amp;do=diff</link>
        <description>I am a new user - Quick Start

----------

Please note: If you have absolutely no time at all, read at least this page. Investing some time here will save you much time later.

First, the basics:

	*  In order to access and use the cluster, you need an account. Accounts are organized in</description>
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        <dc:date>2026-06-28T08:34:23+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>150_connecting_to_cluster</title>
        <link>https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/150_connecting_to_cluster?rev=1782635663&amp;do=diff</link>
        <description>How to connect to the cluster

----------

You can only connect to the cluster from within the LUH network. If you want to connect from the “outside” (e.g. from Home), you&#039;ll have to establish a VPN connection to the university’s network first. See</description>
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        <dc:date>2026-02-09T18:00:10+00:00</dc:date>
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        <title>200_storage_systems</title>
        <link>https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/200_storage_systems?rev=1770660010&amp;do=diff</link>
        <description>File systems in the cluster

----------



As you may have guessed, there are several file systems serving the cluster. 

Each of these file systems has its own characteristics, making it the choice for a different workload.

Under Unix/Linux, file systems are simply</description>
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        <title>201_handling_large_datasets</title>
        <link>https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/201_handling_large_datasets?rev=1641638360&amp;do=diff</link>
        <description>Handling large datasets within the cluster

----------

While working on the cluster, you may need to perform operations such as copy, delete, sync, find, etc. on a very large number of files or on files that are very large in size. While we do recommend to first have a look whether you can reduce the number of files you need to handle e.g. by packing them (because both the file system Lustre that is driving BIGWORK and the controllers of the disk drives have limits how many files they can handl…</description>
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        <dc:date>2026-05-08T12:57:04+00:00</dc:date>
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        <title>250_ransferring_data</title>
        <link>https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/250_ransferring_data?rev=1778245024&amp;do=diff</link>
        <description>File transfer to/from the cluster

----------

There is a special node dedicated to data transfer with the cluster system. Whenever you transfer data with the cluster system, please use this node:


 transfer.cluster.uni-hannover.de


Please note: Use the dedicated transfer node for file transfers, because processes that use more than 30 minutes of cpu time on the login machines will be aborted by the system. Since ssh/scp use encryption, you may eventually use enough cpu time to get the transfe…</description>
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        <dc:date>2021-12-09T15:31:49+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>251_cloud_storage_rclone</title>
        <link>https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/251_cloud_storage_rclone?rev=1639063909&amp;do=diff</link>
        <description>Transferring files from/to cloud storage

----------

This document walks through some of the basics of using the command line program Rclone allowing to synchronize files between the cluster (compute and login nodes) and external cloud storage systems. Rclone has a rich set of features and can be used with many different cloud systems including Dropbox, ownCloud, Google Drive, etc. However, here we will consider</description>
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        <dc:date>2021-10-22T06:52:40+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>252_transferring_files_into_the_archive</title>
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        <description>Transferring data into the archive

----------

Please note: The archive is operated as part of the service Archivierung and thus not part of the cluster system.

The archive can be used to store results and simulation data permanently. Each account has to be registered for
archive use, before using it. This can be done on the</description>
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        <dc:date>2026-07-15T06:05:42+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>350_slurm_usage_guide</title>
        <link>https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/350_slurm_usage_guide?rev=1784095542&amp;do=diff</link>
        <description>SLURM usage guide

----------

If you are completely new to scientific computing, read this:

Please keep in mind that simply throwing a serial program without provisions for parallelization at the cluster will not make it run faster. In fact, it will often run SLOWER, since cpu cores on machines specialized in scientific computing usually run at lower clock frequencies than workstation cpus.</description>
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        <dc:date>2026-02-16T16:35:43+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>400_modules_and_application_software</title>
        <link>https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/400_modules_and_application_software?rev=1771259743&amp;do=diff</link>
        <description>Modules &amp; Application Software

----------

The number of software packages that are installed together with the operating system on cluster nodes is kept light on purpose. Additional packages and applications are provided by a module system, which enables you to easily customise your working environment on the cluster. This module system is called Lmod</description>
    </item>
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        <dc:format>text/html</dc:format>
        <dc:date>2025-11-20T14:52:36+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>401_abaqus</title>
        <link>https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/401_abaqus?rev=1763650356&amp;do=diff</link>
        <description>Abaqus

----------

Abaqus is a comprehensive Finite Element program system for solving complex linear and non-linear tasks in structural analysis, 
dynamics, heat conduction and acoustics with large geometry non-linearities and the possibilities of substructure technology. 
Abaqus is commercial software suite developed by</description>
    </item>
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        <dc:format>text/html</dc:format>
        <dc:date>2026-01-26T19:11:51+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>401_ansys</title>
        <link>https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/401_ansys?rev=1769454711&amp;do=diff</link>
        <description>ANSYS / CFX

ANSYS Workbench

ANSYS workbench can be started with the following command.


runwb2


ANSYS Mechanical APDL

ANSYS Mechanical APDL can be startet with the following command (replace the number in the binary name ansys231 with the appropriate version you use; this example is done after a</description>
    </item>
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        <dc:format>text/html</dc:format>
        <dc:date>2026-01-05T11:55:50+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>401_code-server</title>
        <link>https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/401_code-server?rev=1767614150&amp;do=diff</link>
        <description>Code-Server (VS Code) on LUIS Cluster

----------

The Code-Server app available via Open OnDemand provides a web-based Visual Studio Code environment running directly on a LUIS Cluster compute node. Code-Server offers an almost full-featured VS Code experience and allows users to work entirely in a web browser. Visual Studio Code itself is a widely used, extensible source-code editor with support for many programming languages, debugging, and integrated terminals.</description>
    </item>
    <item rdf:about="https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/401_comsol?rev=1659514148&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2022-08-03T08:09:08+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>401_comsol</title>
        <link>https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/401_comsol?rev=1659514148&amp;do=diff</link>
        <description>COMSOL

----------

COMSOL Multiphysics is a finite element analysis, solver and simulation software/FEA software package for various physics and engineering applications, especially for coupled phenomena, and multiphysics. In addition to conventional physics-based user interfaces, COMSOL Multiphysics also allows entering coupled systems of partial differential equations (PDEs)</description>
    </item>
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        <dc:format>text/html</dc:format>
        <dc:date>2022-12-13T15:46:32+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>401_cpmd</title>
        <link>https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/401_cpmd?rev=1670946392&amp;do=diff</link>
        <description>CPMD

----------

The CPMD code is a parallelized plane wave/pseudopotential implementation of Density Functional Theory, particularly designed for ab-initio molecular dynamics.

Prerequisites to use CPMD on the cluster system

In order to use CPMD on the cluster system, you need a valid license, which is usually granted free of charge to members of academic institutions for non-profit, non-transferable personal usage after an application on their</description>
    </item>
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        <dc:format>text/html</dc:format>
        <dc:date>2022-04-13T10:10:07+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>401_feko</title>
        <link>https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/401_feko?rev=1649844607&amp;do=diff</link>
        <description>FEKO

Under SLURM, you may experience very bad parallel performance. When looking at a running job, this may show in the single processes using only a small part of each cpu core, and this increases with the number of cpu cores used. In this case, you should disable the cpu binding that is set by SLURM using the following line before starting your job:</description>
    </item>
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        <dc:format>text/html</dc:format>
        <dc:date>2026-07-03T21:48:56+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>401_gaussian</title>
        <link>https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/401_gaussian?rev=1783115336&amp;do=diff</link>
        <description>Gaussian &amp; GaussView

	*  Gaussian and GaussView are available on the cluster via the environment module system. 
	*  Due to licensing regulations, access is limited to authorized users who have explicitly accepted the terms of use. 
	*  The older (non-default) software version (g16.A03) is incompatible with AMD cpus.</description>
    </item>
    <item rdf:about="https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/401_jupyterlab?rev=1767541326&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-01-04T15:42:06+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>401_jupyterlab</title>
        <link>https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/401_jupyterlab?rev=1767541326&amp;do=diff</link>
        <description>Jupyter on LUIS Cluster

----------

“Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages.”


“The Jupyter notebook extends the console-based approach to interactive computing in a qualitatively new direction, providing a web-based application suitable for capturing the whole computation process: developing, documenting, and executing code, as well as communicating the results.</description>
    </item>
    <item rdf:about="https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/401_matlab?rev=1665496808&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2022-10-11T14:00:08+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>401_matlab</title>
        <link>https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/401_matlab?rev=1665496808&amp;do=diff</link>
        <description>MATLAB

----------

MATLAB is a technical computing environment for high performance numeric computation and visualization. MATLAB integrates numerical analysis, matrix computation, signal processing and graphics. MATLAB toolboxes are collections of algorithms that enhance MATLAB’s functionality in domains such as signal and image processing, data analysis and statistics, mathematical modeling, etc.</description>
    </item>
    <item rdf:about="https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/401_miniforge3?rev=1759478525&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-10-03T08:02:05+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>401_miniforge3</title>
        <link>https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/401_miniforge3?rev=1759478525&amp;do=diff</link>
        <description>Conda

----------

Important Notice:
We ask you to avoid using the Miniconda3 modules, as the defaults channel appears to be no longer freely available under Anaconda’s updated licensing terms. Please switch to the Miniforge3 module, which provides access to free and open-source channels like</description>
    </item>
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        <dc:format>text/html</dc:format>
        <dc:date>2021-10-22T09:07:19+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>401_mpifileutils</title>
        <link>https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/401_mpifileutils?rev=1634893639&amp;do=diff</link>
        <description>mpiFileUtils

----------

Handling large datasets within the cluster

----------

While working on the cluster, you may need to perform operations such as copy, delete, sync, find, etc. on a very large number of files or on files that are very large in size. While we do recommend to first have a look whether you can reduce the number of files you need to handle e.g. by packing them (because both the file system Lustre that is driving BIGWORK and the controllers of the disk drives have limits how…</description>
    </item>
    <item rdf:about="https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/401_nfft?rev=1618753452&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2021-04-18T13:44:12+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>401_nfft</title>
        <link>https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/401_nfft?rev=1618753452&amp;do=diff</link>
        <description>NFFT

----------

Please note: These instructions were written for NFFT 3.4.1.

NFFT is available as a module on the cluster system. However, there may be situations where you need to compile your own version. For example if you need the MATLAB interface as mex file. When compiling from source, take into account that the cluster system’s CPU architecture is heterogeneous and you best compile a version for every architecture you will be using in order to avoid problems, see section</description>
    </item>
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        <dc:format>text/html</dc:format>
        <dc:date>2026-01-26T08:30:38+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>401_uv</title>
        <link>https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/401_uv?rev=1769416238&amp;do=diff</link>
        <description>uv – Python package manager

----------

This document describes uv usage on the LUIS cluster. 
For detailed instructions on uv features, including installation of deep learning stacks, 
please refer to the official uv documentation. 

uv is a fast Python package manager and environment tool, serving as a modern alternative to</description>
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    <item rdf:about="https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/451_remote_visualization?rev=1655114511&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2022-06-13T10:01:51+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>451_remote_visualization</title>
        <link>https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/451_remote_visualization?rev=1655114511&amp;do=diff</link>
        <description>Remote visualization

----------

While the cluster is mainly designed to run batch jobs without user interaction, we realize that in some cases it is necessary to also interactively work on a node - for example when setting up a 3D-model that is too large to fit into your workstation&#039;s memory in a simulation software, or if you need to postprocess/filter large amounts of data that has been generated by a job in your BIGWORK directory. To facilitate that, we have installed a special node that ha…</description>
    </item>
    <item rdf:about="https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/500_when_your_work_is_done?rev=1755602737&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-08-19T11:25:37+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>500_when_your_work_is_done</title>
        <link>https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/500_when_your_work_is_done?rev=1755602737&amp;do=diff</link>
        <description>When your work is done

When you are done with your work on the cluster system and possibly leave the LUH, it would be nice if you did a few things before you go, to help others get a lightweight system that does not lug around old data:

	*  clean up your directories:</description>
    </item>
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        <dc:format>text/html</dc:format>
        <dc:date>2026-06-16T21:05:08+00:00</dc:date>
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        <title>550_how_to_get_support</title>
        <link>https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/550_how_to_get_support?rev=1781643908&amp;do=diff</link>
        <description>Contact &amp; Help

----------

Need help running your job on the cluster? Need a question answered about a particular tool or cluster resources?

	*  Please contact the cluster team at cluster-help@luis.uni-hannover.de using the email address associated with your cluster account.
	*  You can also call us on the phone +49 511 762 791000 (be aware, though, that some problems are complex and we sometimes need to look through logs and think about what we see, too).</description>
    </item>
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        <dc:format>text/html</dc:format>
        <dc:date>2021-04-04T09:57:43+00:00</dc:date>
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        <title>start</title>
        <link>https://docs.cluster.uni-hannover.de/doku.php/guide/to_pdf/start?rev=1617530263&amp;do=diff</link>
        <description>Cluster Documentation




Leibniz Universität IT Services

Scientific Computing Group</description>
    </item>
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