Lichtenberg Hochleistungsrechner

Lichtenberg High Performance Computer of TU Darmstadt

Lichtenberg High Performance Computer
Lichtenberg High Performance Computer

The Lichtenberg High Performance Computer provides computing resources for researchers from academia and public research facilities in Germany.

The multifaceted architecture of the high performance computer allows for flexible and efficient scientific computing, especially for computationally intensive applications. It supports the efficient execution of a variety of existing programs, as well as the development of new parallel programs.

The experts of the “Hessischen Kompetenzzentrum für Hochleistungsrechnen” (Hessian Competence Center for High Performance Computing) will provide for consultancy and scientific support on using the cluster efficiently. The HKHLR also hosts various (regular) workshops on scientific HPC.

The high performance computer has been established in two phases. The first phase has already been installed in 2013, the second phase was installed 2015. In total, the two phases comprise of about 1400 nodes, 35 times the computing power of the old cluster (“HHLR”). In its current configuration, the Lichtenberg cluster has a theoretical peak performance of approximately 1 PFLOP/s.

Funding for the acquisition and and operation is provided by TU Darmstadt, the state of Hesse and the German Federal Government.

Further information can be found under Access, Cluster Usage and Service.


  • 2018/07/01

    Introduction to the Lichtenberg High Performance Computer

    For the (potential) users of the Lichtenberg supercomputer, a monthly introduction will be held in Darmstadt. Subjects are the available hardware and the general use of the (batch) system.

  • 2019/12/24

    Regular Consultation on Project Proposals

    Due to the current situation, the monthly “open office hours” cannot be held in presence. Please – if a talk is necessary, we can set up a video conference.

  • 2020/06/05

    Caution: Phishing Calls

    in the context of the digital attacks on german high performance computers

    In recent days, at least one phishing call was placed at the HRZ, possibly suspicious with respect to the current attacks on german super computer centers.

  • 2020/05/27

    Maintenance on the cooling system in the HLR building


    Update 2020-05-25:

    The cold water cooling system has been cut and welded at the critical joints, so that we can continue cooling with other means.

    Since the provider of the coming “Lichtenberg 2” successor system has finished the storage benchmarks during the weekend, we're currently in the process of bringing up the Lichtenberg 1 cluster again.


    For an extensive repair of the defective main chilling unit and retrofitting of the cold water pipe system, the whole water cooling system is unavailable.

    Due to this, no electrical (and thus, heating) device is allowed to be running, and so the whole HPC cluster and the Housing servers in L5|08 need to be switched off.

  • 2020/05/19

    Campus-wide License for MATLAB, Simulink, …

    To avoid usage restrictions due to the “Corona situation”, a campus-wide license (CWL) is available for MATLAB, Simulink and all adjacent toolboxes as well as a variety of e-learning materials. The CWL is valid with immediate effect, and will last until 2020-09-30.

  • 2020/04/28

    Trafo-Ausfall Lichtwiese

    HLR-Gebäude L5|08

    Update vom 28.04.2020 um 15:18 Uhr:
    Die Störung ist behoben. Der Strom für den regulären Betrieb ist wieder gewährleistet.


    Trafo-Ausfall im HLR-Gebäude L5|08. Inbetriebnahme des anderen Trafos ist gerade in Arbeit.
    Betroffen sind nur der Lichtenberg-Cluster und die Housing-Nutzer des HLR-Gebäudes.

  • 2019/07/30

    Lichtenberg cluster ready for machine learning

    Supporting AI research by extension of the Python programming language and containers

    Research in Artificial Intelligence (AI), and more specifically Machine Learning (ML) is the key issue in computer-aided methods of the last years. To support scientists in their ML and Deep Learning related research on the Lichtenberg cluster, and to attract more users, the Python installation in the module system have been complemented.